KR20150045357A - File format for transmitting video data and its constructing method - Google Patents

Abstract

Disclosed is a method for constructing descriptions for a video content recommending system. According to an embodiment, the descriptions include: a user description (UD) including use history information about video contents of a user along with static and dynamic information about the user; a context description (CD) including context information of video contents and environmental situation information where the user is disposed; and a service description (SD) including related service information specifying a service of a video contents service provider. The video content recommending system generates a recommendation description for recommending a particular video contents provider selected based on the UD, CD, and SD to be provided to the user.

Description

Technical Field [0001] The present invention relates to a file format for transmitting image data,

The present invention relates to a file format for video data transmission, and more particularly, to a method for constructing descriptions for video content recommendation systems.

Recently, research and development related to Big Data are actively under way. The Big Data Study includes not only data collection, but also techniques for sorting, processing, and storing, as well as providing customized services using them. One of the user-customized services is researching and developing a recommendation system for smart choice of users, and individual recommendation systems are employed in connection with a specific service such as an Internet service or a search service.

The recommendation system includes a lot of research and cost in the development process. The internal structure and recommendation method of the recommendation system can be changed according to the developer or policy of the system. The quality and satisfaction of the service based on the recommendation result of the recommendation system may vary depending on the provider and / or the user. However, users do not have a choice or a chance to select the best recommended service from among a large number of recommended services, and most of them are combined with other services (for example, an Internet service, a mail / cloud service, etc.) .

In this situation, if the recommendation system and the interface of the service using the recommendation system are standardized, there may exist various competitive systems for the same service, and the user can select a recommendation system from among a plurality of recommendation systems . And, if original service providers use standardized interfaces, various third-party recommendation service providers can construct unique recommendation engines to provide services in free competition.

For example, when a service interface using a recommendation system is standardized, when it is desired to provide an image content recommendation service for services that provide image content, it is possible to provide a service provider optimized for a specific user among various image content service providers There are a number of recommendation systems that can provide the service independent of the video content service provider. The users can select a desired recommendation system from among a plurality of recommendation systems and receive the image content service from a service provider who has been recommended for the selected recommendation system.

For such a service, it is necessary to standardize and establish interfaces among the subjects related to the recommendation system. For example, in September 2013, the MPEG-2 Conference on MPEG (MPEG-UD) submitted a proposal request for MPEG-UD, which states that the MPEG-UD is a user description (UD), a contextual description , Service Description (SD), and Recommendation Description (RD), which are the subject of standardization.

Up to now, MPEG has standardized user description structure such as various user preference, user use record and the like and usage environment description structure for adaptive use of media through MPEG-7, MPEG-21, and MPEG-V. These existing standards have been established with the specific purpose of making use of more convenient media in a unique utilization environment, each with its own separate purpose. On the other hand, the MPEG-UD is intended to provide a recommendation system that provides user-optimized recommendation information using general user information, context information, and service information that can be utilized in a wider range of recommendation engine / recommendation environment.

However, in order to commercialize such a recommendation system, it is necessary to specify the configuration of each description in consideration of characteristics of various types of services. Particularly, since the composition and content of each description vary depending on the characteristics of the user as well as the characteristics of the user as well as the characteristics of the contents, various types of content providing services such as image service, In order to define an optimized recommendation service for users, there is a growing need to specify the composition of user description, context description, and service description.

Korean Patent Laid-Open No. 10-2013-0120362 (Published April 11, 2013)

One aspect of the present invention is to provide a method for constructing various descriptions suitable for a video content recommendation system.

Another object of the present invention is to provide a method for constructing descriptions essential for standardization of a recommendation system for image contents.

Another problem to be solved by the present invention is to provide a method for constructing descriptions for a video content recommendation system for allowing a user of a video content to quickly access and search for a content necessary for him / her.

According to an aspect of the present invention, there is provided a method of constructing descriptions for an image content recommendation system, the method comprising: structuring a description inputted by an image content recommendation system according to a predetermined scheme, A user description (UD) including usage history information on the image content of the user together with dynamic and static information about the user; A context description (CD) including context information of the image content and environmental context information on which the user is located; And a service description (SD) including related service information specifying a service of the video content service provider, wherein the video content recommendation system is configured to determine, based on the user description, the context description, and the service description of the user And generates a recommendation description (RD) for recommending the selected predetermined image content provider and provides it to the user.

According to an aspect of the embodiment, the user description includes an attribute field and an information field, and the information field includes user ID information, user profile information, usage history information, preference information, emotion information, schedule information, Type information, intention information, and priority service information. In this case, the preference information may include user preference information, audio presentation preference information, display presentation preference information, graphic presentation preference information, image presentation preference information, service preference information, translation preference information, And may include one or more pieces of information from the description information.

According to another aspect of the embodiment, the context description includes an attribute field and an information field, and the information field includes context identifier information, valid duration information, season information, device characteristic information, network information, Environment information, image environment information, and priority information.

According to another aspect of the embodiment, the service description includes an attribute field and an information field, and the information field includes service general information, service target information, service interface information, internal service information, And the like. In this case, the information field includes image database information, and the image database information may include at least one of title, actor, producer, image type, preview image, and user connection history.

According to the embodiment of the present invention described above, it is possible to standardize the video content recommendation system by structuring and describing the configurations of UD, CD and SD. The user who uses the video content recommendation system can recommend the service of the video content provider optimized for himself / herself so that the user can quickly and easily use the desired service. For example, the user can quickly retrieve the desired video content and receive the streaming service or the like.

FIG. 1 is a block diagram showing a correlation between descriptions constructed according to a description construction method according to an embodiment of the present invention. FIG.
2 is a diagram schematically illustrating roles and service flows between a content creator and a user centering on a service provider in order to perform an image content service.
3 is a diagram schematically showing the flow of each description sent and received through a recommendation engine in providing a service for image contents in a recommendation system according to the MPEG-UD.
FIG. 4 is a block diagram schematically illustrating an example of a format in which an image content file is constructed according to the foregoing description.
FIG. 5 is a flowchart showing an example of a priority step for a selection menu provided by a search engine or a service provider to a user in order to easily implement a search model using UD, CD, SD, and RD information.
FIG. 6 is a flowchart showing an example of a recommendation procedure of a video content service provided on the recommendation system of FIG. 1. FIG.
7 is a diagram illustrating an example of a reference configuration that can be applied to a structured UD description configured according to a description configuration method for an image content recommendation system according to an embodiment of the present invention.
8 is a diagram illustrating an example of a reference configuration that can be applied to the configuration of a structured CD description configured according to a description configuration method for an image content recommendation system according to an embodiment of the present invention.
9 is a diagram illustrating an example of a reference configuration that can be applied to a structured SD description configured according to a description configuration method for an image content recommendation system according to an embodiment of the present invention.
FIG. 10 and FIG. 11 are diagrams illustrating another example of the structure of a structured UD description constructed according to a description construction method for an image content recommendation system according to an embodiment of the present invention. In the UD description, Fig.
12 is a diagram showing an example of the configuration of the information field in the UD description shown in FIG.
13 is a diagram showing an example of the configuration of a service request field in the UD description shown in FIG.
14 is a diagram showing an example of the configuration of the preferred content type server field in the service request field of the UD description shown in FIG.
15 and 16 are diagrams illustrating another example of the structure of a structured CD description configured according to a description construction method for an image content recommendation system according to an embodiment of the present invention.
17 is a diagram showing an example of the configuration of the multimedia detail attribute information field in the CD description shown in FIG.
18 is a view showing another example of the structure of a structured SD description configured according to a description construction method for an image content recommendation system according to an embodiment of the present invention, and shows an attribute field in an SD description .
FIG. 19 is a diagram illustrating another example of the structure of a structured SD description configured according to a description constructing method for an image content recommendation system according to an embodiment of the present invention. In the SD description, Field.
20 is a diagram showing an example of the configuration of a multimedia database field in the SD description shown in FIG.
FIG. 21 is a diagram showing an example of a reference configuration that can be applied to the image database subfield in the multimedia database field shown in FIG.
22 is a diagram illustrating another example of the structure of a structured UD description configured according to a description construction method for an image content recommendation system according to an embodiment of the present invention.
23 is a diagram illustrating another example of a structure of a structured CD description configured according to a description construction method for an image content recommendation system according to an embodiment of the present invention.
24 is a diagram illustrating another example of the structure of a structured SD description configured according to a description constructing method for an image content recommendation system according to an embodiment of the present invention.
FIG. 25 is a diagram illustrating another example of a reference configuration applicable to a structured UD description configured according to a description configuration method for an image content recommendation system according to an embodiment of the present invention. Referring to FIG.
26 is a diagram illustrating another example of a reference configuration that can be applied to a structured CD description configured according to a description configuration method for an image content recommendation system according to an embodiment of the present invention.
FIG. 27 is a diagram illustrating another example of a reference configuration applicable to a structured SD description configured according to a description configuration method for an image content recommendation system according to an embodiment of the present invention. Referring to FIG.

Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings. The terms used in the following embodiments are terms selected in consideration of the functions in the embodiments, and the meaning of the terms may vary depending on the user, the intention or custom of the operator, and the like. Therefore, the meaning of a term used herein should be interpreted according to its definition when it is specifically defined in the present specification, and in the case where there is no specific definition, a person skilled in the art will generally understand it. In the following description, well-known functions or constructions are not described in detail to avoid unnecessary obscuration of the technical idea of the present invention.

FIG. 1 is a block diagram showing a correlation between descriptions constructed according to a description construction method according to an embodiment of the present invention. FIG. More specifically, FIG. 1 illustrates the correlation between input and output descriptions through the recommendation system, that is, a user description (UD), a context description (CD), a service description (SD), and a recommendation description (RD).

Referring to FIG. 1, a user's application requests a recommendation system, that is, a recommendation engine, for recommending a video service. The UD manager, the CD manager, and the SD manager, which receive the request from the recommendation engine, receive the request from the database (UD database, CD database, SD database) managed by the UD manager, CD manager and SD manager based on the user information, information included in the request, (UD), a context description (CD), and a service description (SD), which correspond to the request, to the recommendation engine. The recommendation engine then provides a recommendation service, or recommendation RD, to the user's application based on the received user description (UD), context description (CD), and service description (SD).

The provision of the recommendation service by the recommendation system, that is, the provision of the recommendation description (RD) by the recommendation engine may be embodied in the following form, for example.

There is a growing number of video enthusiasts who watch video regardless of the recent time and place. A video enthusiast may access a service provider (e.g., a web site) that provides a video service and download the video content to his / her device (e.g., a video-dedicated mobile terminal) to view the video. UD databases such as this user's smart phone or video-only mobile terminal have recorded in the past few months a record using the image content service as part of the user description (UD). These records include additional information indicating that the user refers to the information about the creator (supervisor, producer, main actor, etc.) at the time of selecting the image content as well as the type of the content preferred by the user.

In this UD database, the recommendation engine obtains the user's access record such as the information of the user's preferred image content, the number of downloads, and the downloaded content information as well as the content selection criteria of the user. In addition, a content service provider is connected to the content being used by the user, and the service provider can retrieve the content information by using the history information, the access record, and the content creator information of the user. .

Based on this, the recommendation engine deduces the fact that the user searches for and selects content based on important criteria of the content creator, and recommends the connection information (for example, URL) of the video service provider providing the video information found by the user and the content creator search (RD) to the user's application. The user's application accesses the service provider providing the video content based on the provided recommendation description (RD), and easily obtains the desired video content.

As can be seen from these examples, the recommendation system that is being standardized in the MPEG-UD standard includes various elements. Of these, the four elements of user description (UD), context description (CD), service description (SD), and recommendation description (RD) How to implement a manager or recommendation engine is not within the scope of the standard. This is because, if only the interface of the recommendation system is clearly defined, various standardized recommendation engines can be created, which can lead to the development of the technology. As a result, the MPEG-UD standard attempts to standardize the minimum data format that can guarantee compatibility between the recommendation engine and its surrounding elements. In addition, embodiments of the present invention to be described later provide various methods of constructing descriptions according to the standardized data format.

The embodiment of the present invention described below is intended to enable a standardized image content recommendation system to be constructed and to enable a user to quickly and easily access and acquire or access contents through the system. In order to realize this, it is necessary to standardize the descriptions of services providing a plurality of image content services by grouping and specifying information input and output through the recommendation engine, as well as standardizing user information and environment information. By using the standardized information, the recommendation system transmits information about the user requesting the video content service and the service provider optimized for the environment at the time of the request, so that the user can enjoy the optimized service (for example, Streaming, etc.).

In addition, according to the present invention described below, it is possible to reconstruct the existing retention image database by using the description content defined in the image production process for the image content service and the data acquired by the service provider using the customer usage information. According to this, it is possible to provide an environment in which a service provider can search and reproduce desired contents conveniently and quickly to the user.

2 is a diagram schematically illustrating roles and service flows between a content creator and a user centering on a service provider in order to perform an image content service. Referring to FIG. 2, a personal creator (company creator) provides user description (UD) and content (video) to a service provider and obtains profit, and a user (web consumer, mobile consumer) To obtain necessary information or data (database video, video). For this purpose, the service provider has necessary servers and databases (video contents provider / server, video database system).

3 is a diagram schematically showing the flow of each description sent and received through a recommendation engine in providing a service for image contents in a recommendation system according to the MPEG-UD. In FIG. 3, the recommendation engine is shown as being associated with a Recommendation RD, but this is merely for convenience of illustration, and substantially different descriptions, such as user description (UD), context description (CD) Is also associated with the recommendation engine. That is, the structured UD, CD, and SD (more specifically, the information contained therein) are input to the recommendation engine in accordance with the standardized format, and the recommendation engine selects the optimized service for the user based on the input, RD to the user.

The user description (UD) basically includes an ID and a password PW, and may also include an e-mail and an assigned user management number. The user's age, nationality, sex, language, preferred images, etc. may also be included in the UD. Also, the user's service history is included in the UD. All or some of the information included in the UD may be combined with the SD and the CD so that the service provider (recommendation system) may be used to select a video content service provider optimized for the user.

The context description (CD) includes information related to the environment in which the user uses the service, and in the case of the image service, information relating to the image production environment. More specifically, the CD includes information related to an environment for creating a device or image content required for reproducing an image, and also includes a detailed description of video. For example, apart from the director or producer who produces the movie, it may include information related to the producer as well as the production environment such as the main actor, the shooting location, and the like. This information can be utilized by the user to select the image content in consideration of the actual production environment. Such image detail information may be used by a service provider to provide a new database.

Referring to FIG. 3, user history information and basic information (management number, e-mail information, etc.) are transmitted in the process of using the UD. In the process of using the CD, environmental information and detailed image information are transmitted. And in SD, we also reconstruct the image database. The reconfiguration of such a database can be performed in a predetermined cycle, and the information necessary for this can be provided through UD, CD, or the like. The reconfiguration of the database is performed from the viewpoint of allowing the user to quickly provide useful services to the user. Based on this, it can be determined whether the service providing environment of the service provider is suitable for the user's request. Service providers must develop their own excellent recommendation engines, which can be a criterion for evaluating service providers.

According to an embodiment of the present invention, a specific method for constructing UD, CD, and SD for a video recommendation system is proposed. Video files are large files with sizes from 10 Mbytes to several tens Gbytes or more. On the other hand, the capacity of a user's desktop PC (PC) or mobile electronic device is limited. And even if the same title and the same director produced the image, the size of the file could be several times to several hundred times different. And the environment and method of producing video contents may be different.

Having a person using the TV remote control to select a multi-level menu makes the user uncomfortable and does not use the menus of four or more levels. In particular, the smart TV includes a larger number of menus, and accordingly, the process of selecting a desired menu is complicated and the number of steps can be increased. However, in any case, it is not easily adopted that the menu is made to be more than four steps because it may cause inconvenience of the user.

This principle can be equally applied to a method of constructing a recommendation system for an image. For example, in a video recommendation system, various methods for allowing a user to easily find a desired content have been proposed. For example, there may be a method of utilizing tags to facilitate retrieval of all image content files. The tag allows service providers to easily find and select video files. In this case, the producer of the image contents also needs to use the standardized tag.

FIG. 4 is a block diagram schematically illustrating an example of a format in which an image content file is constructed according to the foregoing description. Referring to FIG. 4, the file format may include UD, CD, SD, and RD as a header, and the file including the tag may be a form of a file for an image bitstream service. The tag information selected by the service provider can be added to all the image files so that the user can quickly and easily access the image contents to be selected.

FIG. 5 is a flowchart showing an example of a priority step for a selection menu provided by a search engine or a service provider to a user in order to easily implement a search model using UD, CD, SD, and RD information. Referring to FIG. 5, when a service provider uses information derived from a network environment or during a business period, a user selects a higher priority among the detailed description information of UD, CD, SD, and RD as a priority of a selection menu, It is possible to make it easy to select quickly.

FIG. 6 is a flowchart showing an example of a recommendation procedure of a video content service provided on the recommendation system of FIG. 1. FIG.

Referring to FIG. 6, the recommendation system receives a predetermined request for image content from a user (S11). The received content request may include environment information, information on a user, and the like as well as information on a specific content by the user. Then, the recommendation system receiving the content request extracts UD information and CD information suitable for the UD database and the CD database, respectively (S12). The UD database and the CD database may each store UD and CD (to be described later) for the structured corresponding user configured according to a predetermined format. Alternatively, the recommendation system may collect information (UD, information contained in the CD) about the user and the environment through communication with other objects stored therein. In this step, the recommendation system can extract appropriate UD information and CD information from the structured UD description and the CD description based on the content, environment, and user information included in the received content request.

Subsequently, the recommendation system extracts appropriate SD information from the SD database based on the extracted UD information and CD information (S13). The SD database may have a structured SD description (which will be described later) structured in accordance with a predetermined format. The SD information extracted from the structured SD description at this stage may be information associated with the service provider capable of providing an optimized service to the user based on the UD information and the CD information. Finally, the recommendation system can generate the RD information for the image content service provider based on the extracted SD information and provide it to the user (S14).

Hereinafter, the structure of the UD, CD, and SD descriptions according to the embodiment of the present invention, which can be utilized in the recommendation procedure of the image content service, will be described below.

FIG. 7 is an example of a reference configuration that can be applied to a configuration of a structured UD description configured according to a description configuration method for an image content recommendation system according to an embodiment of the present invention. Referring to FIG. 7, a configuration of a UD description for a lossless audio recommendation system Fig. The UD description may include static and dynamic information for the user. In addition, the UD description can also include information such as the user's history of use, preference, and UD-related security settings.

Referring to FIG. 7, the UD description includes user information (UserID), Birthday, Gender, Country, UserLanguage, TypeOfFavoriteMusic, and HistoryOfService. can do. In the case of video content, the preferred music type may be replaced with the preferred video type. The user information may include an ID, a password PW, an e-mail address, a phone number, a user management number, and the like. The user service history includes the date the download of the number of downloads, the type of lossless audio, etc. (In the case of video content, the lossless audio type may be replaced by the type of video . The meanings of the image UD description information included in the UD description in FIG. 7 are described in Table 1.

FIG. 8 is an example of a reference configuration applicable to a structured CD description configured according to a description configuration method for an image content recommendation system according to an exemplary embodiment of the present invention, and is an example of a configuration of a CD description for a lossless audio content recommendation system Fig. Referring to FIG. 8, the CD description may include the device's unique information (StaticInfoDevice), available device, service date (TimeOfTheServiceDate), lossless audio detail information (DetailedDescriptionOfLosslessAudio), portable device (PortableDevice) (In the case of video content, lossless audio detail information can be replaced with video detail information). The available devices may include a portable player, a desktop PC, a smart TV and a set-top box, and the lossless audio details may include a lossless audio format (Authoring Tool), Authoring Algorithm, Total Play Time (TotalPlayTime), etc., such as Title, FormatOfLosslessAudio, Name, Nationality, Organization, In the case of content, the lossless audio format may be replaced by the video format). The meanings of the CD description information included in the CD description in FIG. 8 are described in Table 2. In Table 2, the MPEG-UD Requirements indicates 'ISO / IEC JTC1 / SC29 / WG11 / n12881 Requirements on MPEG User Description' Since this is an open document, a detailed description thereof is omitted here (the following tables and figures are also the same)).

FIG. 9 is an example of a reference configuration applicable to a structured SD description configured according to a description configuration method for an image content recommendation system according to an exemplary embodiment of the present invention. Referring to FIG. 9, an SD description of a SD description for a lossless audio content recommendation system Fig. 9, the SD description includes a SocialNetworkAndCommunities, a UsagePermissiom, a SupportedRepresentationFormat, a LimitOfUsage, a Service Level Agreement, and a Lossless Audio Database (DatabaseOfLosslessAudio). (In the case of video content, a lossless audio database may be replaced with a video database). The social network community includes Facebook, Kakao, and the like. The lossless audio database includes a title, a singer, a composition / authorOfMusic, a music type (TypeOfMusic), music (FirstLineOfTheMusic, AccessHistoryOfMusic, NetworkEnvironment, etc.) (In the case of video content, the singer is an actor, the composer / librarian is a director / producer, and the music type is a video type The first measure of music can be replaced by a video trailer). The meanings of the SD description information included in the SD description in FIG. 9 are described in Table 3.

FIG. 10 and FIG. 11 are diagrams illustrating another example of the structure of a structured UD description constructed according to a description construction method for an image content recommendation system according to an embodiment of the present invention. In the UD description, Fig. Referring to FIG. 10, the attribute field describes user's unique information, including user IDs, sex, birthday, last name, first name, and the like. Referring to FIG. 11, in addition to the unique information of the user shown in FIG. 10, the attribute field may further include information such as nationality and language of use. The information contained in the attribute field can be used as basic information of the user.

12 is a diagram showing an example of the configuration of the information field in the UD description shown in FIG. Referring to FIG. 12, the information field includes a user's address, a telephone number, an e-mail address, a user management number, and the like. The information contained in the information field can be utilized as additional information or contact information of the user.

13 is a diagram showing an example of the configuration of a service request field in the UD description shown in FIG. Referring to FIG. 13, the service request field may include information such as a user's intention, a preferred content type, an interaction type with a community, and a service history. The service request field can be used to grasp not only the user's current intention but also the user's tendency and history.

14 is a diagram showing an example of the configuration of the preferred content type server field in the service request field of the UD description shown in FIG. Referring to FIG. 14, the preferred content type server field may include various types of content type information such as movies, music, and the like. The preferred content type server field can be utilized to identify the type of content preferred by the user.

15 and 16 are diagrams illustrating another example of the structure of a structured CD description configured according to a description construction method for an image content recommendation system according to an embodiment of the present invention. Referring to FIG. 15, the CD description includes device information, physical environment information, semantic environment information, and sharing and synchronization information. Referring to FIG. 16, the CD description may further include service time information, device unique information, and multimedia detail attribute information in addition to the CD description disclosed in FIG. The information included in the CD description can be used to grasp the attributes, kinds, and the like of the content and also to grasp environments related to contents, devices, users, networks, and the like.

17 is a diagram showing an example of the configuration of the multimedia detail attribute information field in the CD description shown in FIG. Referring to FIG. 17, the multimedia detail attribute field may include information such as video, lost audio, video, and the like. The multimedia detail attribute field can be used to determine whether the type of the service target content is video, lost audio, or video.

18 is a view showing another example of the structure of a structured SD description configured according to a description construction method for an image content recommendation system according to an embodiment of the present invention, and shows an attribute field in an SD description . Referring to FIG. 18, an attribute field describes unique information of a service, including a service ID, a service name, a service type, a service provider, contact information, and the like. The information contained in the attribute field may be used as basic information of the service provider and the service provided by the service provider.

FIG. 19 is a diagram illustrating another example of the structure of a structured SD description configured according to a description constructing method for an image content recommendation system according to an embodiment of the present invention. In the SD description, Field. Referring to FIG. 19, the SD description includes information such as service level agreement, service usage, social network and community, supported multimedia objects, multimedia database, and the like. The information contained in the SD description can be used as detailed information related to the service provided.

20 is a diagram showing an example of the configuration of a multimedia database field in the SD description shown in FIG. Referring to FIG. 20, the multimedia database field may include information such as a video database, a lost audio database, and a video database. The multimedia database field may be used to determine which type of database the service provider has for the content, such as video, lost audio, or video.

FIG. 21 is a diagram illustrating a lossless audio database subfield, which is an example of a reference configuration applicable to an image database subfield in the multimedia database field shown in FIG. Referring to FIG. 21, a lossless audio database subfield may include a title, a singer, a composition / lyric, a music type, a music first measure, a user access history, a network environment, and the like. The image database subfield may be constructed by a service provider providing the image service and may be used to search for the image database and provide the image content desired by the user.

22 is a diagram illustrating another example of the structure of a structured UD description configured according to a description construction method for an image content recommendation system according to an embodiment of the present invention. Referring to FIG. 22, the UD description includes an attribute field and an information field. The information field includes a user ID, a user profile, a usage history, a preference, an emotion, a schedule, an activity, a multimedia type, an intention, a priority service, The preference subfields include user preferences, audio presentation preferences, display presentation preferences, graphic presentation preferences, service preferences, translation preferences, media of interest, preferences, and the like. The function of this UD description is the same as that of the other UD description described above.

23 is a diagram illustrating another example of a structure of a structured CD description configured according to a description construction method for an image content recommendation system according to an embodiment of the present invention. Referring to FIG. 23, the CD description includes an attribute field and an information field. The information field includes context identifier, effective duration, season, device characteristics, network information, location, weather, other environmental information such as audio environment or lighting characteristics, priority, and the like. The function of this CD description is the same as that of the other CD description described above.

24 is a diagram illustrating another example of the structure of a structured SD description configured according to a description constructing method for an image content recommendation system according to an embodiment of the present invention. Referring to FIG. 24, the SD description includes an attribute field and an information field. The information field includes service general information, service target information, service interface information, internal service information, priority, service availability information, and the like. The function of this SD description is the same as that of the other SD description described above.

FIG. 25 is an example of a reference configuration applicable to a structured UD description configured according to a description configuration method for an image content recommendation system according to an embodiment of the present invention, and is another example of a UD description for a lossless audio content recommendation system Fig. Referring to FIG. 25, the UD description according to the present embodiment is similar to the UD description shown in FIG. 22 in that the preference subfield includes lossless audio presentation preference (which may be replaced with video presentation preference in the case of image content) There is a difference in the fact that there is more. For example, the image presentation preference information may include generated preference information, image format preference information, image file size preference information, image music preference information, and the like, together with attribute information such as an ID and the like. The meaning of each of the information included in the lossless audio presentation preference information included in the UD description in FIG. 25 is described in Table 4.

FIG. 26 is an example of a reference configuration applicable to a structured CD description configured according to a description configuration method for an image content recommendation system according to an embodiment of the present invention, and is another example of a CD description for a lossless audio content recommendation system Fig. Referring to FIG. 26, the CD description according to the present embodiment is similar to the UD description shown in FIG. 23 in that lossless audio environment information (which can be replaced with video environment information in the case of video contents) There is a difference in that it is added. For example, the video environment information includes generated author information, authoring tool information, authoring algorithm information, and the like together with attribute information. The meaning of each of the information included in the lossless audio environment information included in the CD description in FIG. 26 is described in Table 5. [

FIG. 27 is an example of a reference configuration applicable to a structured SD description configured according to a description configuration method for an image content recommendation system according to an embodiment of the present invention, and is another example of an SD description for a lossless audio content recommendation system Fig. Referring to FIG. 27, the SD description according to the present embodiment differs from the SD description shown in FIG. 24 in that multimedia database information is further added to the information field. In one example, the multimedia database information includes video database information, lost audio database information, image database information, and the like. The image database subfield includes information such as a title, a singer, a music author, a kind of music, a first measure of music, and a user access history. The meanings of the multimedia database fields included in the SD description and the information included in the image database subfields thereof are described in Table 6.

The above description is only an example of the present invention, and the technical idea of the present invention should not be interpreted as being limited by this embodiment. The technical idea of the present invention should be specified only by the invention described in the claims. Therefore, it is apparent to those skilled in the art that the above-described embodiments may be modified and embodied in various forms without departing from the technical spirit of the present invention.

Claims (6)

A method for structuring a description input to a video content recommendation system according to a predetermined scheme,
The description includes a user description (UD) including usage history information for the user's image content, together with dynamic and static information for the user; A context description (CD) including context information of the image content and environmental context information on which the user is located; And a service description (SD) including related service information specifying a service of the video content service provider,
Wherein the video content recommendation system generates a recommendation description (RD) for recommending a predetermined video content provider selected based on the user description, the context description, and the service description of the user and provides the recommendation description (RD) to the user A method for constructing descriptions for video content recommendation systems. The method according to claim 1,
Wherein the user description comprises an attribute field and an information field,
Wherein the information field includes user ID information, user profile information, usage history information, preference information, emotion information, schedule information, activity information, multimedia type information, intention information, and priority service information. For constructing descriptions for. 3. The method of claim 2,
The preference information may include one or more of user preference information, audio presentation preference information, display presentation preference information, graphic presentation preference information, image presentation preference information, service preference information, translation preference information, Wherein the video content recommendation system comprises the above information. The method according to claim 1,
Wherein the context description comprises an attribute field and an information field,
The information field includes at least one of context identifier information, effective duration information, season information, device characteristic information, network information, location information, weather information, environmental information, image environment information, and priority information A method for constructing descriptions for a video content recommendation system. The method according to claim 1,
Wherein the service description includes an attribute field and an information field,
Wherein the information field includes at least one of service general information, service target information, service interface information, internal service information, priority, and service availability information. 6. The method of claim 5,
Wherein the information field includes image database information,
Wherein the image database information includes at least one of a title, a main actor, a director, an image type, a preview image, and a user access history.

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