CN118631955B - HDMI-based data processing method and control transmission system - Google Patents
HDMI-based data processing method and control transmission system Download PDFInfo
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Abstract
本发明涉及数据处理技术领域,提供了一种基于HDMI的数据处理方法及控制传输系统,通过综合运用数据注解、知识拓扑、置信度优化等技术手段,实现了HDMI显示屏数据传输的高效压缩,不仅提升了传输效率和显示效果,还增强了系统的智能性和用户体验。
The present invention relates to the technical field of data processing, and provides a data processing method and a control transmission system based on HDMI. By comprehensively using technical means such as data annotation, knowledge topology, and confidence optimization, efficient compression of HDMI display screen data transmission is achieved, which not only improves transmission efficiency and display effect, but also enhances the intelligence of the system and user experience.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to a data processing method and a control transmission system based on HDMI.
Background
With rapid development of High-definition video technology, HDMI (High-Definition Multimedia Interface ) has become a main interface standard for connecting High-definition display devices and audio and video sources. However, how to effectively annotate data and extract key transmission compression features from the data when processing HDMI display screen data is a key for improving data transmission efficiency and display quality.
In the conventional HDMI data transmission process, the display screen data is usually directly transmitted, but the detailed annotation and analysis of key elements in the data are lacking, which results in that the compression strategy in the data transmission process is often not accurate enough, the limited transmission bandwidth cannot be fully utilized, and the final display effect may be affected.
Disclosure of Invention
In order to improve the above problems, the present invention provides a data processing method and a control transmission system based on HDMI.
In a first aspect of an embodiment of the present invention, there is provided an HDMI-based data processing method applied to a data processing control transmission system, the method including:
Acquiring display data annotation information of the to-be-processed HDMI display screen data in a target display task, wherein the display data annotation information comprises at least one display data annotation for a display data element of the to-be-processed HDMI display screen data and annotation confidence corresponding to the display data annotation, and the annotation confidence is used for representing a contribution value of the display data element to the to-be-processed HDMI display screen data;
Determining annotation commonalities among the display data annotations, and determining initial display data annotations in the display data annotation information based on the annotation commonalities and annotation confidence;
mining transmission compression characteristics corresponding to the initial display data annotation, and based on the transmission compression characteristics, performing wandering in a set annotation knowledge topology to obtain at least one front-back display data annotation and a front-back annotation chain corresponding to the front-back display data annotation, wherein the set annotation knowledge topology comprises at least one topology member and a related directed pointer based on the involving characteristics among the topology members, and each topology member corresponds to one set display data annotation;
Determining the topology membership of the front and back annotation chain, and optimizing the annotation confidence coefficient of the initial display data annotation corresponding to the front and back display data annotation according to the topology membership to obtain the front and back annotation confidence coefficient corresponding to the front and back display data annotation;
And adjusting the display data annotation information based on the front and rear display data annotations and the front and rear annotation confidence degrees corresponding to the front and rear display data annotations, and generating the HDMI transmission compression suggestion vector corresponding to the HDMI display screen data to be processed based on the adjusted display data annotation information.
Preferably, the performing the walk in setting the annotation knowledge topology based on the transmission compression feature to obtain at least one front-back display data annotation and a front-back annotation chain corresponding to the front-back display data annotation includes:
Based on the transmission compression characteristics, performing wandering in a set annotation knowledge topology to obtain at least one pre-and-post-selection display data annotation and a pre-and-post-selection annotation chain corresponding to the pre-and-post-selection display data annotation;
Determining the annotation number of the to-be-selected front and back sequential display data annotations, and determining a correlation coefficient between the to-be-selected front and back sequential display data annotations and the initial display data annotations when the annotation number is larger than a preset annotation number threshold;
And selecting at least one front and back display data annotation from the front and back display data annotations to be selected based on the correlation coefficient, and acquiring a front and back annotation chain corresponding to the front and back display data annotation.
Preferably, the determining initial display data annotation in the display data annotation information based on the annotation commonality value and the annotation confidence comprises:
extracting at least one display data annotation set from the display data annotations based on the annotation commonality value, wherein the display data annotation set comprises at least two display data annotations;
And selecting at least one initial display data annotation from the display data annotation set according to the annotation confidence.
Preferably, the extracting at least one display data annotation set from the display data annotations based on the annotation commonality value includes:
acquiring a first common value threshold and a second common value threshold, wherein the first common value threshold is larger than the second common value threshold;
Selecting at least one first display data annotation set from the display data annotations based on the first commonality value threshold and the annotation commonality value, and selecting at least one second display data annotation set from the display data annotations based on the second commonality value threshold and the annotation commonality value;
And taking the first display data annotation set and the second display data annotation set as display data annotation sets.
Preferably, the obtaining display data annotation information of the to-be-processed HDMI display screen data in the target display task includes:
determining the number of corresponding target display data annotation information of target display data in a target display task, and obtaining the number of corresponding display data annotation information of the target display data;
Extracting HDMI display screen data to be processed from the target display data based on the display data annotation information number;
And acquiring display data annotation information of the to-be-processed HDMI display screen data in the target display task.
Preferably, the determining the number of the annotation information of the target display data corresponding to the target display data in the target display task, to obtain the number of the annotation information of the display data corresponding to the target display data, includes:
acquiring display parameter information corresponding to the target display data;
extracting at least one display adjustment result from the target display data based on the display parameter information, and determining display adjustment result annotation information of the display adjustment result according to the display parameter information;
and adjusting the target display data annotation information based on the display adjustment result annotation information to obtain adjusted target display data annotation information, and determining the number of the adjusted target display data annotation information corresponding to the target display data to obtain the number of the display data annotation information corresponding to the target display data.
Preferably, the determining display adjustment result annotation information of the display adjustment result according to the display parameter information includes:
Acquiring current terminal display annotation information and past terminal display annotation information corresponding to the display adjustment result according to the display parameter information;
Integrating the current terminal display annotation information with the past terminal display annotation information to obtain display adjustment result annotation information corresponding to the display adjustment result.
Preferably, after generating the HDMI transmission compression suggestion vector corresponding to the HDMI display screen data to be processed based on the adjusted display data annotation information, the method further includes:
acquiring at least one data transmission control instruction;
Extracting at least one target instruction matched with the HDMI transmission compression suggestion vector from the data transmission control instruction based on the HDMI transmission compression suggestion vector corresponding to the HDMI display screen data to be processed;
and carrying out transmission control on the to-be-processed HDMI display screen data based on the target instruction and the HDMI transmission compression suggestion vector.
In a second aspect of the embodiment of the present invention, a data processing control transmission system is provided, which includes a processor, and a memory and a bus connected to the processor, where the processor and the memory complete communication with each other through the bus, and the processor is configured to invoke a computer program in the memory to execute the above HDMI-based data processing method.
In a third aspect of the embodiments of the present invention, there is provided a computer-readable storage medium having stored thereon a program which, when executed by a processor, implements the above-described HDMI-based data processing method.
According to the HDMI-based data processing method and the control transmission system provided by the embodiment of the invention, display data annotation information of the to-be-processed HDMI display screen data in a target display task is firstly obtained, and the information comprises annotations for all elements in the display screen data and corresponding annotation confidence. Annotation confidence is an important indicator that characterizes the contribution of each data element to the overall display screen data, providing an important reference for subsequent compression strategies.
However, it is not sufficient to annotate the information by means of the initial display data only. In order to more accurately identify key elements in the data, embodiments of the present invention further determine commonalities between the annotations and, in combination with annotation confidence, filter out initial display data annotations from them, which step helps focus on the most representative data elements.
Next, embodiments of the present invention further optimize data transmission strategies by mining transmission compression features corresponding to the initial display data annotations, which are used to walk through a set annotation knowledge topology consisting of a plurality of topology members, each topology member corresponding to a particular display data annotation, and corresponding chains of the preceding and following display data annotations associated with the initial annotations.
In this process, it is critical to determine the topology membership of the context annotation chain, which value reflects not only the complexity and relevance of the annotation chain, but is also used to optimize the annotation confidence corresponding to the context display data annotations. By this optimization, more accurate confidence of the sequential annotation can be obtained.
Finally, based on the optimized sequential display data annotation and annotation confidence, the embodiment of the invention adjusts the original display data annotation information, and generates the HDMI transmission compression suggestion vector aiming at the HDMI display screen data to be processed according to the adjustment, wherein the suggestion vector is obtained by comprehensively considering the contribution value of each element in the data, the commonality among the annotations and the transmission compression characteristics, thereby obviously improving the HDMI data transmission efficiency and the display effect.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed in the embodiments will be briefly described below, it being understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and other related drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a flowchart of an HDMI-based data processing method according to an embodiment of the present invention.
Fig. 2 is a schematic diagram of a product module of a data processing control transmission system according to an embodiment of the present invention.
Detailed Description
Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
In order to better understand the above technical solutions, the following detailed description of the technical solutions of the present invention is made by using the accompanying drawings and specific embodiments, and it should be understood that the specific features of the embodiments and the embodiments of the present invention are detailed descriptions of the technical solutions of the present invention, and not limiting the technical solutions of the present invention, and the technical features of the embodiments and the embodiments of the present invention may be combined with each other without conflict.
Referring to fig. 1, a flowchart of an HDMI-based data processing method according to an embodiment of the present invention is applied to a data processing control transmission system, and the method includes specific content descriptions including steps 101-105.
Step 101, obtaining display data annotation information of the to-be-processed HDMI display screen data in a target display task, wherein the display data annotation information comprises at least one display data annotation for a display data element of the to-be-processed HDMI display screen data and annotation confidence corresponding to the display data annotation, and the annotation confidence is used for representing a contribution value of the display data element to the to-be-processed HDMI display screen data.
In the application scenario of the high-definition video conference system, step 101 is the starting point of the data processing control transmission system.
The to-be-processed HDMI display screen data refers to display screen data to be transmitted through an HDMI interface, and the data includes multimedia information such as images and sounds of a video conference, which is an object that needs to be optimally transmitted by the system. The goal display task is to ensure that images in a video conference can be displayed on the participant's screen with high definition and fluency, while ensuring synchronous transmission of sound and images. Display data annotation information is a description and annotation of individual elements in HDMI display screen data (e.g., image clarity, color saturation, sound quality, etc.), which is typically automatically generated by an expert or system to guide subsequent data processing and transmission optimization. A display data annotation is a label for a particular display data element (e.g., "high definition"). In this step, the system needs to obtain at least one such annotation in order to learn the key characteristics of the data. The annotation confidence represents the importance or contribution of a certain display data annotation to the overall display effect. For example, the annotation "high definition" may have a high confidence level, as it is critical to the quality of the video conference.
In detail, the system first obtains the data of the HDMI display screen to be processed from the data source, and these data may be real-time video stream or prerecorded multimedia file. The system then reads the display data annotation information attached to the data, which may be in the form of metadata, describing various attributes and features of the data. In acquiring annotation information, the system is particularly concerned with elements closely related to the display effect, such as the definition of an image, the accuracy of color, and the like. For each such element, the system records its corresponding display data annotation and annotation confidence. For example, the system may read an annotation message indicating that the HDMI display screen data is required to achieve "high definition" and that the confidence level of the annotation is high, 0.9 (ranging from 0 to 1, indicating that this is highly confident), meaning that it is critical to maintain high definition of the image during subsequent processing and transmission. Through step 101, the data processing control transmission system can know the core characteristics and requirements of the data to be processed, and lays a foundation for the subsequent optimization work.
Step 102, determining annotation commonality values among the display data annotations, and determining initial display data annotations in the display data annotation information based on the annotation commonality values and annotation confidence.
In the application scenario of the high-definition video conference system, step 102 is a key step for the data processing control transmission system to further analyze and screen the display data annotation.
The annotation commonality value is a quantization index and is used for measuring the similarity or relevance between different display data annotations. A high commonality value means that the annotations are similar or interrelated to some extent. The initial display data annotation is one or several key annotations selected by the system from a plurality of display data annotations, and is used as a starting point for the optimization of subsequent data processing and transmission.
In detail, the data processing control transmission system analyzes the display data annotation information acquired in step 101, in particular, the association between individual annotations. The system calculates the commonality value between each pair of annotations by algorithms, which typically involve techniques such as natural language processing, text mining, etc., to identify similarities and associations between annotations. For example, the notes "high definition" and "detail presentation" may have a high commonality value, as they all point to some similar aspect of image quality. While "low latency" and "real-time" can also have high commonalities, as they both focus on the speed and immediacy of data transfer. After the annotation commonality value is calculated, the system combines the annotation confidence to perform comprehensive analysis. The annotation confidence reflects the importance of a certain annotation to the overall display effect, while the commonality value reveals the relationship between annotations. The system selects one or several initial display data annotations by weighing these two factors. In particular, the system may select those annotations that have a high confidence level and a high commonality value with other annotations as initial display data annotations. For example, if the confidence of "high definition" is high and there is significant commonality with multiple other annotations, then it may be selected as the initial display data annotation. Upon selection of the initial display data annotations, the system may then formulate subsequent data processing and transmission optimization strategies around the annotations. For example, if "high definition" is selected as the initial annotation, the system may prioritize those schemes that maximize the preservation of image definition in terms of the choice of compression algorithm and transmission protocol. The data processing control transmission system can focus on the most critical display data annotation, providing an explicit direction for the subsequent optimization effort, via step 102.
And 103, mining transmission compression characteristics corresponding to the initial display data annotation, and based on the transmission compression characteristics, performing wandering in a set annotation knowledge topology to obtain at least one front-back display data annotation and a front-back annotation chain corresponding to the front-back display data annotation, wherein the set annotation knowledge topology comprises at least one topology member and a related directed pointer based on the involving characteristics among the topology members, and each topology member corresponds to one set display data annotation.
In the application scenario of the high-definition video conference system, step 103 is a key step of performing deep analysis for optimizing HDMI display data transmission by the data processing control transmission system.
Transmission compression characteristics, among other things, refer to characteristics or attributes associated with data transmission and compression that can affect the compression efficiency and transmission quality of the data. For example, for video data, critical transmission compression characteristics may include frame rate, resolution, encoding mode, etc. The annotation knowledge topology is set to be a pre-built knowledge structure for representing the relationships between different display data annotations. It is typically a graph structure consisting of a number of nodes (topology members) and directed edges (associated directed pointers) connecting the nodes. Each node represents a set annotation of display data, and the directed edges represent logical or causal relationships between annotations. The contextual display data annotations are other annotations associated with the initial display data annotation in the set annotation knowledge topology, which may logically precede or follow the initial annotation, forming a sequential relationship, and are referred to as contextual annotations. A chain of contextual annotations is a series of sequential annotations made up of contextual display data annotations and relationships between them. It reflects a series of associated annotations that result from the initial display data annotation being walked through the knowledge topology.
In detail, the data processing control transmission system further analyzes selected initial display data annotations and discovers transmission compression characteristics closely related to the annotations. For example, if the initial annotation is "high definition," the system may identify features associated with the annotation, such as high resolution, lossless compression, etc. The system then uses these features to walk through a pre-defined annotation knowledge topology that contains a large number of annotations and relationships between them that are relevant to HDMI data transmission. The system compresses the features based on the transmission of the initial annotations, and finds other annotations that match or are associated with those features. During the traveling process, the system records the front and back sequence notes directly or indirectly related to the initial notes, and constructs corresponding front and back sequence note chains, wherein the chains reflect other important notes which finally arrive from the initial notes through a series of logic relevance. For example, starting from "high definition", the system may walk to the "low compression loss", "high efficiency compression algorithm", etc. antecedent notes and form a chain of notes that provides the system with specific guidance on how to optimize HDMI data transmission to maintain high definition. The data processing control transmission system can go deep into knowing the transmission compression characteristics of the initial display data annotation and find other important annotations associated with the initial display data annotation in the set annotation knowledge topology, which provides powerful support for subsequent data processing and transmission optimization, via step 103.
And 104, determining the number of topological members of the front and back annotation chains, and optimizing the annotation confidence of the initial display data annotation corresponding to the front and back display data annotation according to the number of topological members to obtain the front and back annotation confidence corresponding to the front and back display data annotation.
In the application scenario of the high-definition video conference system, step 104 is a key step of optimizing the annotation information acquired and analyzed in the previous step by the data processing control transmission system.
Where in the context annotation chain, topology membership refers to the number of annotations (i.e., topology members) contained in the chain, which reflects the length and complexity of the annotation chain. The confidence of the front and back annotation is the result obtained by optimizing the confidence of the front and back display data annotation. The confidence level reflects the accuracy and reliability of the annotation, and the optimized confidence level is closer to the actual data transmission requirement.
Further, the data processing control transmission system counts the number of topology members in each of the preceding and succeeding annotation chains, which is critical for the subsequent optimization of annotation confidence, as it reflects the degree of association closeness and logical complexity between annotations. Next, the system optimizes annotation confidence of initial display data annotations corresponding to the successive display data annotations according to the number of topology members. The purpose of the optimization is to make the confidence level more in line with the logical relationship between the actual transmission requirements and the annotations. In particular, if the topology of a chain of sequential annotations is more membership, it is said that the annotations on the chain are closely related and the logic is complex. In this case, the system increases the confidence of the annotations on the chain accordingly to reflect the importance and accuracy of the annotations in the data transmission process. Conversely, if the topology membership of a chain of the preceding and succeeding annotations is less, it is indicated that the annotations on the chain are relatively independent and have low association. In this case, the system may suitably decrease the confidence of these annotations to avoid over-reliance on these relatively isolated annotations. In the optimization process, the system can adopt a series of algorithms and models, such as Bayesian networks, fuzzy logic and the like, to comprehensively consider the logical relation among the annotations, the actual requirement of data transmission, the historical performance of the annotations and other factors, so as to obtain more accurate and reliable confidence of the previous and subsequent annotations. Through the optimization processing of step 104, the data processing control transmission system can obtain the confidence level of the previous and subsequent annotation which is closer to the actual demand, and more accurate and reliable guidance is provided for subsequent data processing and transmission.
And step 105, adjusting the display data annotation information based on the front-back display data annotation and the front-back annotation confidence corresponding to the front-back display data annotation, and generating an HDMI transmission compression suggestion vector corresponding to the HDMI display screen data to be processed based on the adjusted display data annotation information.
In the application scenario of the high-definition video conference system, step 105 is a key step of the data processing control transmission system to finally generate HDMI transmission compression suggestions.
The HDMI transmission compression suggestion vector is a vector containing a plurality of elements, each element represents a suggestion or parameter for data transmission compression of the HDMI display screen, and the vector integrates all previous analysis and optimization results to provide specific guidance for actual data transmission compression.
In detail, the data processing control transmission system reviews and analyzes all the information obtained in the previous steps, including the initial display data annotations, the contextual display data annotations, and their corresponding contextual annotation confidence levels, which provide the system with in-depth insight as to how to optimize HDMI data transmission. Next, the system adjusts the original display data annotation information based on these annotations and confidence levels. The purpose of the adjustment is to more accurately reflect the actual needs and potential optimization points of the data transmission. For example, if the confidence of a particular annotation is high, the system may increase the weight of the annotation in the suggestion vector. During the adjustment process, the system may incorporate other related data and information, such as historical transmission records, user feedback, etc., to ensure the comprehensiveness and accuracy of the adjustment. In addition, the system may employ advanced algorithms and models to guide the tuning process, such as machine learning algorithms, data mining techniques, and the like. After the adjustment is completed, the system generates an HDMI transmission compression suggestion vector which is elaborated according to the adjusted display data annotation information and aims at providing an optimal data transmission compression scheme. Each element in the vector represents a particular compression proposal or parameter, such as compression rate, coding scheme, transmission protocol, etc. Finally, this HDMI transmission compression advice vector will be output and applied in the actual HDMI data transmission process. By following these suggestions, the system is expected to achieve more efficient and stable data transmission, thereby improving the overall performance and user experience of the high-definition video conferencing system. It can be seen that step 105 is a key step of integrating the pre-analysis and optimization results of the data processing control transmission system to finally generate a specific compression suggestion, and the accuracy and effectiveness of this step are critical to improving the quality and efficiency of HDMI data transmission.
The technical scheme is described below through a complete application scenario example.
In a high definition video conferencing system, the data processing control transmission system is responsible for optimizing the transmission of HDMI display screen data.
The data processing control transmission system first obtains an HDMI display screen data to be processed, which is prepared for an important video conference. The system reads display data annotation information for this data, which includes a plurality of display data annotations, such as "high definition", "low latency", "color rendition", etc., and an annotation confidence level for each annotation. For example, the annotation confidence of "high definition" may be 0.9, indicating that the element has a high contribution to the overall display effect.
The system then analyzes the commonality values between these display data annotations. It finds a high commonality between the two annotations, "high definition" and "color rendition", as they are both related to the quality of the image. Based on these commonalities and annotation confidence, the system selects "high definition" as the initial display data annotation because its confidence is highest and has higher commonalities with other annotations.
The system begins to mine the transmission compression characteristics corresponding to the initial display data annotation "high definition". It is known that certain compression algorithms and techniques are required in order to maintain high definition. In the set annotation knowledge topology, the system walks through the directional pointer to both the "low compression loss" and "high efficiency compression algorithm" associated with "high definition" and the data annotation is displayed in tandem.
The system determines the topology membership of these two successor and successor annotation chains, namely "low compression loss" and "efficient compression algorithm". Based on the degree of association of the two members with "high definition", the system optimizes their annotation confidence. For example, a "low compression loss" may achieve a higher confidence level because it is directly related to maintaining high definition of the image.
Based on the optimized sequential display data annotations and their sequential annotation confidence, the system adjusts the original display data annotation information, which means that the system emphasizes the use of low compression loss algorithms to maintain high definition of the image in preparation for HDMI data transmission. Finally, the system generates an HDMI transmission compression suggestion vector for the HDMI display screen data to be processed according to the adjusted annotation information, and the vector is used for guiding subsequent compression and transmission work so as to ensure that the display effect of the video conference is optimal.
By applying the embodiment of the invention, through carrying out fine annotation information analysis on the HDMI display screen data to be processed, the embodiment of the invention can more accurately identify key elements in the data and generate targeted HDMI transmission compression suggestion vectors according to the elements, which is beneficial to optimizing compression strategies in the data transmission process, thereby improving the transmission efficiency of the HDMI display screen data. The embodiment of the invention comprehensively considers the annotation commonality value and the annotation confidence when determining the initial display data annotation, which is beneficial to retaining the elements with high contribution value to the display screen data. Therefore, in the compression transmission process, the important display data elements can be ensured to be transmitted preferentially, so that the display effect of the display screen is improved to a certain extent. By setting annotation knowledge topology and performing wandering in the annotation knowledge topology, the embodiment of the invention can automatically mine the previous and subsequent annotations related to the initial display data annotation to form a complete annotation chain, and the process not only improves the intelligence of the system, but also enables the compression suggestion to be more comprehensive and accurate. The embodiment of the invention optimizes the annotation confidence according to the topology membership of the previous annotation chain and the subsequent annotation chain, and the innovative adjustment method can better reflect the logic relationship and importance among the annotations and further improve the accuracy and practicability of the compression suggestion. The finally generated HDMI transmission compression suggestion vector is based on the display data annotation information which is adjusted comprehensively, so that the user can be more close to the actual demand of the user, a personalized transmission compression scheme is provided, and the overall experience of the user when the HDMI display screen is used is improved.
In summary, the embodiment of the invention realizes the efficient compression of the HDMI display screen data transmission by comprehensively applying technical means such as data annotation, knowledge topology, confidence optimization and the like, thereby not only improving the transmission efficiency and the display effect, but also enhancing the intelligence and the user experience of the system.
In some optional embodiments, the method comprises the steps of performing walk in a set annotation knowledge topology based on the transmission compression characteristic to obtain at least one front-back display data annotation and a front-back annotation chain corresponding to the front-back display data annotation, performing walk in the set annotation knowledge topology based on the transmission compression characteristic to obtain at least one front-back display data annotation to be selected and a front-back annotation chain corresponding to the front-back display data annotation to be selected, determining the number of the front-back display data annotations to be selected, determining a correlation coefficient between the front-back display data annotation to be selected and the initial display data annotation when the number of the front-back display data annotations is larger than a set annotation number threshold, selecting at least one front-back display data in the front-back display data annotation to be selected based on the correlation coefficient, and acquiring the front-back annotation chain corresponding to the front-back display data annotation.
In some alternative embodiments, the system performs a more detailed screening process to determine the contextual display data annotations and their annotation chains that are closely related to the initial display data annotations, which may be elaborated in several steps.
Firstly, the system walks in a preset annotation knowledge topology according to the transmission compression characteristics mined before, the knowledge topology is a complex network structure, each node represents a display data annotation, and the connection lines between the nodes represent the logical relations or the mutual correlations between the annotations. The system can find other notes related to the initial display data notes by walking in the topological network according to specific rules and algorithms, the found notes are called as the candidate front and back sequence display data notes, and the chain formed by connecting the notes in sequence is called as the candidate front and back sequence notes chain.
Next, the system performs further screening of the display data annotations before and after the selection. First, the system determines the number of annotations for which each candidate is to be preceded and followed by a display data annotation, i.e., the number of other annotations to which each annotation is associated in the knowledge topology, which may reflect the importance and complexity of the annotations to some extent. Then, the system sets a comment number threshold, which is a preset value, for screening out the selected comments with more comments, i.e. those related to other comments with more comments.
When the number of the notes of the data notes displayed in the sequence before and after a certain candidate is larger than the set threshold, the system further calculates a correlation coefficient between the note to be selected and the initial displayed data note, wherein the correlation coefficient can be calculated through various algorithms, such as cosine similarity, pearson correlation coefficient and the like, and is used for quantifying the similarity or the degree of correlation between the two notes. The higher the correlation coefficient, the tighter the relationship between the two annotations.
Finally, the system selects at least one of the front and back display data annotations with higher relativity with the initial display data annotation according to the relativity coefficient, and the process can be to select only the annotations exceeding the threshold value by setting a threshold value of the relativity coefficient, or to select the top-ranked annotations according to the relativity coefficient. The selected contextual display data annotations and their corresponding contextual annotation chains will be retrieved by the system and used for subsequent processing.
By means of the embodiment, the system can more accurately identify other notes closely related to the initial display data note, and construct a corresponding note chain, so that accuracy and completeness of the data note are improved, more reliable basis is provided for subsequent data compression transmission, accuracy and completeness of the data note are improved through a refined note screening process, transmission compression strategies of HDMI display screen data are optimized, efficiency of data transmission can be improved, quality of display effect can be guaranteed to a certain extent, and accordingly better use experience is brought to users.
In some alternative embodiments, the determining the initial display data annotation in the display data annotation information based on the annotation commonality value and the annotation confidence comprises extracting at least one display data annotation set from the display data annotations based on the annotation commonality value, wherein the display data annotation set comprises at least two display data annotations, and selecting at least one initial display data annotation from the display data annotation set according to the annotation confidence.
In some alternative embodiments, the system performs a fine-grained procedure to determine the initial display data annotation from the display data annotation information, which combines the annotation commonality value and the annotation confidence level, with the aim of finding the most representative and important annotation.
First, the system analyzes annotation commonalities. Annotation commonality is an indicator of similarity or correlation between different annotations that helps identify those annotations that are repeated among a plurality of annotations or that have some common characteristic. Based on the commonality value, the system extracts at least one display data annotation set from a plurality of display data annotations, the annotation set not being a random annotation combination but comprising at least two display data annotations having commonalities in content, structure or data association with the display screen. For example, if some annotations all point to the same type of data element in the HDMI display data, or the annotations use similar languages or patterns in describing the data characteristics, they may be included in the same set of annotations.
Next, the system performs further analysis within each extracted annotation set of display data, at which point the system uses the annotation confidence as an indicator. The annotation confidence reflects the contribution or importance of each annotation to the HDMI display data to be processed. A high confidence level of the annotation generally means that the annotation is more able to accurately describe or interpret some aspect of the display screen data. Thus, in each annotation set, the system selects at least one initial display data annotation according to the confidence level of the annotations, and the selection process can be selecting the annotation with the highest confidence level, or selecting based on an algorithm to comprehensively consider the confidence level of a plurality of annotations.
For example, the system extracts an annotation set containing five annotations that describe the brightness characteristics of different regions in the HDMI display data, respectively. The system will first look at the annotation confidence of these five annotations and then will likely select the one with the highest confidence as the initial display data annotation, as it is most representative of the luminance characteristics of the region. Alternatively, the system may employ a weighted average method that considers the confidence levels of the five annotations, thereby selecting a most representative initial display data annotation.
Through the process, the system can accurately select the initial display data annotation with the most representation and importance from a large number of display data annotations, which not only provides important reference information for subsequent data compression and transmission, but also is beneficial to improving the efficiency of data transmission and the display effect of a display screen. Therefore, the method not only improves the accuracy and the effectiveness of the data annotation, but also provides more scientific basis for the transmission compression strategy of the HDMI display screen data by comprehensively considering the annotation commonality value and the annotation confidence coefficient, thereby realizing the aim of accurately extracting the initial display data annotation from the complex display data annotation information. The method has the beneficial effects of improving the accuracy and efficiency of data transmission, optimizing the display effect and bringing better viewing experience for users.
In some alternative embodiments, the extracting at least one display data annotation set from the display data annotations based on the annotation common value comprises obtaining a first common value threshold and a second common value threshold, wherein the first common value threshold is greater than the second common value threshold, selecting at least one first display data annotation set from the display data annotations based on the first common value threshold and the annotation common value, and selecting at least one second display data annotation set from the display data annotations based on the second common value threshold and the annotation common value, and taking the first display data annotation set and the second display data annotation set as display data annotation sets.
In some alternative embodiments, the system uses a more detailed approach to extracting the set of display data annotations from the display data annotations based on the annotation commonality values, which involves two different commonality value thresholds for screening out sets of annotations having different degrees of commonality.
Firstly, the system acquires two common value thresholds, namely a first common value threshold and a second common value threshold, which are preset thresholds for judging whether the commonality between notes reaches a certain standard. Importantly, the first commonality threshold is set higher than the second commonality threshold, meaning that the first commonality threshold is used to screen out annotation sets that are very common, while the second commonality threshold is used to screen out annotation sets that are relatively weak but still of interest.
Next, the system begins to filter the annotation set based on the two thresholds. First, based on the first commonality value threshold and the annotation commonality value, the system selects at least one first set of display data annotations from among all display data annotations, which have a very high commonality between annotations because they are all associated with some key element of the display screen data or use very similar language and patterns in describing the data characteristics.
The system then uses a second commonality threshold to filter out a second set of displayed data annotations, which, although not as common as the first set, still have a certain correlation or similarity, worth being included in the same set.
Finally, the system treats both the first and second sets of display data annotations as valid sets of display data annotations that provide important reference information for subsequent data processing, as they reveal associations and similarities between different annotations in the display screen data.
For example, there is a set of annotations describing color characteristics in the HDMI display data. By using a first common value threshold, it may be possible to filter out annotations that all emphasize the importance of "red" to form a first set of display data annotations. With a second commonality threshold, annotations that refer to both "red" and other colors (e.g., "blue" or "green") may be selected to form a second set of display data annotations.
By the method, the system can analyze annotation information in the display screen data more comprehensively, not only pay attention to annotations with very strong commonalities, but also not pay attention to annotations with certain commonalities but still valuable, which is beneficial to the subsequent data processing and the formulation of transmission strategies, and improves the efficiency and the display effect of data transmission. Therefore, by introducing two common value thresholds of different layers, the method realizes the fine division and screening of the display data annotation, improves the accuracy and richness of the data annotation, and provides more comprehensive reference information for the transmission and display strategy of the HDMI display screen data. The method has the advantages that the flexibility and the efficiency of data processing and transmission are enhanced, and the final display effect and the user experience are improved.
In some optional embodiments, the obtaining display data annotation information of the to-be-processed HDMI display screen data in the target display task includes determining the number of target display data annotation information corresponding to the target display data in the target display task, obtaining the number of display data annotation information corresponding to the target display data, extracting the to-be-processed HDMI display screen data from the target display data based on the number of display data annotation information, and obtaining the display data annotation information of the to-be-processed HDMI display screen data in the target display task.
In some alternative embodiments, the process of acquiring display data annotation information of the to-be-processed HDMI display screen data in the target display task by the system can be specifically subdivided into the following steps that firstly, the system determines the number of corresponding target display data annotation information of the target display data in the specific display task, and the process is completed by analyzing the requirement of the display task and the characteristics of the target display data. For example, if the target display data is a piece of video, the system will identify how many portions of the piece of video need to be annotated, such as key frames, special effects, where subtitles appear, etc., which can be considered as part of the display data annotation information. Next, based on the determined number of display data annotation information, the system extracts HDMI display screen data to be processed from the target display data, which is to ensure that the extracted data accurately reflects the portion of the original data that needs to be annotated. The system may use various algorithms and techniques to accurately extract, such as by color recognition, edge detection, etc., image processing techniques to accurately identify and extract key information in the HDMI display screen data. Finally, the system acquires specific display data annotation information of the to-be-processed HDMI display screen data in the target display task, wherein the information possibly comprises detailed parameters such as color, size, position, appearance time and the like, so that the data can be accurately restored or modified during subsequent processing. For example, if certain annotation information indicates that a subtitle needs to be displayed at a particular point in time of the video, the system records the information about the content, location, color, etc. of the subtitle for accurate execution in subsequent display tasks.
Through the series of detailed steps, the system can accurately acquire and process annotation information in HDMI display screen data, so that the data can be accurately restored or modified in a subsequent display task, the accuracy of data processing is improved, and the flexibility and the expandability of the system are greatly enhanced. By accurately acquiring and processing annotation information of HDMI display screen data, the system can more intelligently and efficiently execute display tasks, and can accurately and efficiently process whether video playing, image processing or other types of display requirements.
In some alternative embodiments, the determining the number of the target display data annotation information corresponding to the target display data in the target display task to obtain the number of the display data annotation information corresponding to the target display data includes obtaining display parameter information corresponding to the target display data, extracting at least one display adjustment result from the target display data based on the display parameter information, determining the display adjustment result annotation information of the display adjustment result according to the display parameter information, adjusting the target display data annotation information based on the display adjustment result annotation information to obtain adjusted target display data annotation information, and determining the number of the adjusted target display data annotation information corresponding to the target display data to obtain the number of the display data annotation information corresponding to the target display data.
In some alternative embodiments, the system performs the process of determining the number of annotation information of the target display data corresponding to the target display data in the target display task, which may be further elaborated by first acquiring display parameter information corresponding to the target display data, where the display parameter information may include, but is not limited to, resolution, refresh rate, color mode, brightness, contrast, etc., which are key factors affecting the display effect. For example, if the target display data is a high definition video, the display parameter information may include 1080p resolution, 60Hz refresh rate, etc. Then, based on the display parameter information, the system extracts at least one display adjustment result from the target display data, wherein the display adjustment result refers to a series of optimization processes, such as color correction, contrast enhancement, and the like, performed on the original display data according to different display parameter information. Meanwhile, the system can determine display adjustment result annotation information of the display adjustment results according to the display parameter information, and the annotation information can record specific parameters and effects of each display adjustment in detail for subsequent analysis and processing. The system then adjusts the target display data annotation information based on these display adjustment result annotation information, which may include adding, deleting or modifying the annotation information to ensure the accuracy and integrity of the annotation information. Through this step, the system obtains the annotation information of the adjusted target display data. Finally, the system determines the number of the annotation information of the adjusted target display data corresponding to the target display data, so as to obtain the number of the annotation information of the display data corresponding to the target display data, wherein the number represents the number of key points needing to be concerned and processed in the target display data and is also an important basis for subsequent data processing and analysis.
By implementing the steps, the accuracy and the flexibility of processing the display data by the system are improved, and richer and more accurate data support is provided for subsequent display tasks. Meanwhile, through detailed annotation information, a user can know the characteristics and the processing process of the display data more clearly, so that a more reasonable decision is made. The method for determining the number of the annotation information of the target display data not only improves the quality and efficiency of data processing, but also enhances the understanding and control capability of users on the data. Through accurate annotation information, the system can more accurately execute the display task, and meet the diversified demands of users, thereby bringing about better visual experience.
In some optional embodiments, the determining the display adjustment result annotation information of the display adjustment result according to the display parameter information includes obtaining current terminal display annotation information and past terminal display annotation information corresponding to the display adjustment result according to the display parameter information, and integrating the current terminal display annotation information and the past terminal display annotation information to obtain the display adjustment result annotation information corresponding to the display adjustment result.
In some alternative embodiments, the detailed process of determining annotation information for displaying the adjustment results based on the display parameter information by the system may proceed as follows.
The system firstly automatically acquires annotation information corresponding to the display adjustment result from the current terminal according to the display parameter information, which is called as 'current terminal display annotation information', wherein the annotation may contain specific data of current display adjustment, such as parameters of brightness, color balance and the like after adjustment. Meanwhile, the system can also search and acquire annotation information of related display adjustment results on the past terminal, namely 'the past terminal displays the annotation information', and the past annotation information has important reference values for understanding the history adjustment process, identifying long-term trends and avoiding repeated errors.
Integrating annotation information, the system integrates the annotation information displayed by the current terminal with the annotation information displayed by the past terminal. The integrated process may include data cleansing, format unification, time stamp alignment, etc. to ensure accuracy and consistency of annotation information. In the integration process, the system may also analyze and compare the annotation information by using an algorithm, and identify key variation trends and abnormal values so as to perform subsequent display adjustment more accurately.
And generating comprehensive annotation information, namely finally, integrating and processing the annotation information to form a comprehensive 'display adjustment result annotation information', wherein the comprehensive annotation information not only contains the current display adjustment details, but also fuses historical data, and provides a comprehensive and dynamic visual angle for the system to understand and optimize the display effect.
In this way, the system can more effectively utilize the annotation information to guide the display adjustment process, not only improving the accuracy and efficiency of adjustment, but also enhancing the self-learning and self-adaptability of the system. Meanwhile, the method for integrating annotation information is also helpful for reducing redundant data and improving the efficiency of data storage and processing. By integrating the annotation information displayed by the current and past terminals, the system can obtain richer and more comprehensive data support, further optimize the display effect and promote the user experience.
In some optional embodiments, after generating the HDMI transmission compression suggestion vector corresponding to the HDMI display screen data to be processed based on the adjusted display data annotation information, the method further includes obtaining at least one data transmission control instruction, extracting at least one target instruction matching with the HDMI transmission compression suggestion vector from the data transmission control instruction based on the HDMI transmission compression suggestion vector corresponding to the HDMI display screen data to be processed, and performing transmission control on the HDMI display screen data to be processed based on the target instruction and the HDMI transmission compression suggestion vector.
In some alternative embodiments, after generating the HDMI transmission compression advice vector based on the adjusted display data annotation information, the system further performs the following steps to achieve transmission control of the HDMI display screen data to be processed.
Acquiring data transmission control instructions the system will first acquire a series of data transmission control instructions from a control center or other related device. The instructions may include various types of start transmission, stop transmission, adjust transmission rate, change compression ratio, etc., for controlling the transmission process of HDMI display screen data.
And extracting a matched target instruction, and then screening the acquired data transmission control instruction by the system according to the HDMI transmission compression suggestion vector generated previously. The system extracts the target instruction that matches the suggestion vector. For example, if the HDMI transmission compression advice vector suggests that a higher compression ratio is used to transmit data, then the target instruction matching it may be an instruction to increase the compression ratio.
And executing transmission control, namely once a matched target instruction is extracted, combining the HDMI transmission compression suggestion vector by the system, and performing actual transmission control on the HDMI display screen data to be processed. This may include adjusting the compression level of the data, changing the transmission rate, or optimizing the transmission protocol, etc., to ensure that the data is efficiently and stably transmitted over the HDMI interface.
And in the process of data transmission, the system monitors the transmission effect in real time and carries out fine adjustment on the transmission control parameters according to the actual conditions. For example, if packet loss or delay occurs during transmission, the system may automatically reduce the compression ratio or adjust the transmission rate to ensure the integrity and real-time performance of the data.
Through the steps, the system can intelligently carry out refined transmission control on the HDMI display screen data to be processed according to the HDMI transmission compression suggestion vector and the real-time data transmission control instruction. This not only improves the efficiency and stability of data transmission, but also ensures that HDMI display screen data can be transmitted with high quality and low delay in various complex network environments. Therefore, through intelligent matching and optimization of control instructions, performance of the HDMI interface in a data transmission process is remarkably improved. The HDMI display screen data can be transmitted to the target device more quickly and reliably, so that smoother and clearer visual experience is brought to a user.
Referring to fig. 2 in combination, the embodiment of the invention further provides a data processing control transmission system 100, which includes a processor 111, and a memory 112 and a bus 113 connected to the processor 111. Wherein the processor 111 and the memory 112 perform communication with each other via a bus 113. The processor 111 is configured to call program instructions in the memory 112 to perform the HDMI-based data processing method described above.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or system. Without further limitation, an element defined by the phrase "comprising one does not exclude the presence of additional like elements in a process, method, article, or system that comprises an element.
It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The foregoing is merely exemplary of the present invention and is not intended to limit the present invention. Various modifications and variations of the present invention will be apparent to those skilled in the art. Any modification, equivalent replacement, improvement, etc. which come within the spirit and principles of the invention are to be included in the scope of the claims of the present invention.
Claims (8)
1. A data processing method based on HDMI, applied to a data processing control transmission system, comprising:
Acquiring display data annotation information of the to-be-processed HDMI display screen data in a target display task, wherein the display data annotation information comprises at least one display data annotation for a display data element of the to-be-processed HDMI display screen data and annotation confidence corresponding to the display data annotation, and the annotation confidence is used for representing a contribution value of the display data element to the to-be-processed HDMI display screen data;
determining annotation commonality values among the display data annotations, and determining initial display data annotations in the display data annotation information based on the annotation commonality values and annotation confidence, wherein the annotation commonality values are quantization indexes used for measuring similarity or relevance among different display data annotations;
mining transmission compression characteristics corresponding to the initial display data annotation, and based on the transmission compression characteristics, performing wandering in a set annotation knowledge topology to obtain at least one front-back display data annotation and a front-back annotation chain corresponding to the front-back display data annotation, wherein the set annotation knowledge topology comprises at least one topology member and a related directed pointer based on the involving characteristics among the topology members, and each topology member corresponds to one set display data annotation;
Determining the topology membership of the front and back annotation chain, and optimizing the annotation confidence coefficient of the initial display data annotation corresponding to the front and back display data annotation according to the topology membership to obtain the front and back annotation confidence coefficient corresponding to the front and back display data annotation;
adjusting the display data annotation information based on the front and rear display data annotations and front and rear annotation confidence degrees corresponding to the front and rear display data annotations, and generating HDMI transmission compression suggestion vectors corresponding to the HDMI display screen data to be processed based on the adjusted display data annotation information;
the determining initial display data annotation in the display data annotation information based on the annotation commonality value and the annotation confidence comprises:
extracting at least one display data annotation set from the display data annotations based on the annotation commonality value, wherein the display data annotation set comprises at least two display data annotations;
Selecting at least one initial display data annotation from the display data annotation set according to the annotation confidence;
the extracting at least one display data annotation set from the display data annotations based on the annotation commonality value comprises:
acquiring a first common value threshold and a second common value threshold, wherein the first common value threshold is larger than the second common value threshold;
Selecting at least one first display data annotation set from the display data annotations based on the first commonality value threshold and the annotation commonality value, and selecting at least one second display data annotation set from the display data annotations based on the second commonality value threshold and the annotation commonality value;
And taking the first display data annotation set and the second display data annotation set as display data annotation sets.
2. The HDMI-based data processing method of claim 1, wherein said walking in setting an annotation knowledge topology based on said transmission compression feature results in at least one of a front-back display data annotation and a front-back annotation chain corresponding to said front-back display data annotation, comprising:
Based on the transmission compression characteristics, performing wandering in a set annotation knowledge topology to obtain at least one pre-and-post-selection display data annotation and a pre-and-post-selection annotation chain corresponding to the pre-and-post-selection display data annotation;
Determining the annotation number of the to-be-selected front and back sequential display data annotations, and determining a correlation coefficient between the to-be-selected front and back sequential display data annotations and the initial display data annotations when the annotation number is larger than a preset annotation number threshold;
And selecting at least one front and back display data annotation from the front and back display data annotations to be selected based on the correlation coefficient, and acquiring a front and back annotation chain corresponding to the front and back display data annotation.
3. The HDMI-based data processing method according to any one of claims 1 to 2, wherein the obtaining of display data annotation information of the HDMI display screen data to be processed in the target display task includes:
determining the number of corresponding target display data annotation information of target display data in a target display task, and obtaining the number of corresponding display data annotation information of the target display data;
Extracting HDMI display screen data to be processed from the target display data based on the display data annotation information number;
And acquiring display data annotation information of the to-be-processed HDMI display screen data in the target display task.
4. The HDMI-based data processing method of claim 3, wherein said determining the number of destination display data annotation information corresponding to destination display data in a destination display task, to obtain the number of display data annotation information corresponding to said destination display data, comprises:
acquiring display parameter information corresponding to the target display data;
extracting at least one display adjustment result from the target display data based on the display parameter information, and determining display adjustment result annotation information of the display adjustment result according to the display parameter information;
and adjusting the target display data annotation information based on the display adjustment result annotation information to obtain adjusted target display data annotation information, and determining the number of the adjusted target display data annotation information corresponding to the target display data to obtain the number of the display data annotation information corresponding to the target display data.
5. The HDMI-based data processing method of claim 4, wherein said determining display adjustment result annotation information of the display adjustment result based on the display parameter information includes:
Acquiring current terminal display annotation information and past terminal display annotation information corresponding to the display adjustment result according to the display parameter information;
Integrating the current terminal display annotation information with the past terminal display annotation information to obtain display adjustment result annotation information corresponding to the display adjustment result.
6. The HDMI-based data processing method of claim 1, wherein after generating the HDMI transmission compression advice vector corresponding to the HDMI display screen data to be processed based on the adjusted display data annotation information, further comprises:
acquiring at least one data transmission control instruction;
Extracting at least one target instruction matched with the HDMI transmission compression suggestion vector from the data transmission control instruction based on the HDMI transmission compression suggestion vector corresponding to the HDMI display screen data to be processed;
and carrying out transmission control on the to-be-processed HDMI display screen data based on the target instruction and the HDMI transmission compression suggestion vector.
7. A data processing control transmission system comprising a processor, a memory and a bus connected to the processor, the processor and the memory completing communication with each other via the bus, the processor being configured to invoke a computer program in the memory to perform the HDMI-based data processing method of any of claims 1-6.
8. A computer-readable storage medium, characterized in that a program is stored thereon, which program, when being executed by a processor, implements the HDMI-based data processing method of any one of claims 1 to 6.
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CN101443763A (en) * | 2006-05-09 | 2009-05-27 | 皇家飞利浦电子股份有限公司 | A device and a method for annotating content |
CN108431886A (en) * | 2015-12-21 | 2018-08-21 | 皇家飞利浦有限公司 | Optimize high dynamic range images for particular display |
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