CN112181564A

CN112181564A - Wallpaper generation method, mobile terminal and storage medium

Info

Publication number: CN112181564A
Application number: CN202011024319.XA
Authority: CN
Inventors: 王泽楷
Original assignee: Chongqing Chuanyin Communication Technology Co ltd
Current assignee: Chongqing Chuanyin Communication Technology Co ltd
Priority date: 2020-09-25
Filing date: 2020-09-25
Publication date: 2021-01-05

Abstract

The application relates to a wallpaper generation method, a mobile terminal and a storage medium, wherein the wallpaper generation method comprises the following steps: acquiring behavior data of a user aiming at a preset type object; generating wallpaper according to the behavior data; and classifying the generated wallpaper. By the mode, the wallpaper can be automatically generated and classified only by collecting the data of the specific type of object operated by the user, the user does not need to additionally set the wallpaper, the intelligence is improved, and the user experience is good.

Description

Wallpaper generation method, mobile terminal and storage medium

Technical Field

The present application relates to the field of communications technologies, and in particular, to a method for generating wallpaper, a mobile terminal, and a storage medium.

Background

With the wide application of smart mobile terminals such as mobile phones and tablets and the rapid development of the internet, smart mobile terminals become an indispensable part in the life of people.

The screen locking wallpaper is one of the functions with higher use frequency in the terminal equipment. In the method for generating the wallpaper in the prior art, the wallpaper under the subscription channel is pushed according to the subscription operation of the user, the user needs to participate in wallpaper screening, and the method is not intelligent enough.

The foregoing description is provided for general background information and is not admitted to be prior art.

Disclosure of Invention

In view of the above technical problems, the application provides a wallpaper generation method, a mobile terminal and a storage medium, wallpaper can be automatically generated and classified only by collecting data of a user operating a specific type of object, the user does not need to additionally set the wallpaper, the intelligence is improved, and the user experience is good.

In order to solve the above technical problem, the present application provides a method for generating wallpaper, including:

acquiring behavior data aiming at a preset type object;

generating wallpaper according to the behavior data;

optionally, after the step of generating the wallpaper according to the behavior data, classifying the generated wallpaper.

Optionally, the generating wallpaper according to the behavior data includes:

determining the type of a target image according to the behavior data;

and generating corresponding wallpaper according to the type of the target image.

Optionally, the determining a type of the target image according to the behavior data includes:

determining the content type of each object corresponding to the behavior data;

counting behavior data corresponding to objects with the same content type to obtain behavior data statistical values corresponding to different content types;

judging whether the behavior data statistic value corresponding to each content type meets a preset condition or not;

and determining the type of the target image according to the content type corresponding to the behavior data statistic value meeting the preset condition.

Optionally, the preset type object includes at least one of an application, an image, and a text;

if the preset type object is an application, the behavior data is the frequency and/or duration of using the preset application;

if the preset type object is an image, the behavior data comprises at least one of the following data: sharing the frequency of each image, checking the frequency and/or duration of each image, and editing the frequency of each image;

if the preset type object is a character, the behavior data comprises at least one of the following data: the frequency of sharing each text, the frequency of editing each text, the frequency and/or duration of reading each text, and the frequency of searching using each text.

Optionally, the method for generating wallpaper of the present application further includes:

continuously recording behavior data aiming at the preset type object;

updating the target image type according to the latest behavior data

Optionally, the generating of the corresponding wallpaper according to the target image type includes:

and retrieving a corresponding image according to the target image type to generate wallpaper.

Optionally, the classifying the generated wallpaper includes:

and classifying and storing the generated wallpaper according to the source and/or content of the wallpaper.

The present application also provides a second method for generating wallpaper, comprising:

the server receives behavior data aiming at preset type objects;

and the server generates corresponding wallpaper according to the behavior data and classifies the wallpaper.

Optionally, in a second method for generating a wallpaper, the generating a wallpaper by the server according to the behavior data includes:

the server determines the type of a target image according to the behavior data;

Optionally, in the second method for generating wallpaper, the determining, by the server, a target image type according to the behavior data includes:

the server determines the content type of each object corresponding to the behavior data;

Optionally, in a second method for generating a wallpaper, the classifying the generated wallpaper by the server includes:

the server classifies the generated wallpaper according to the source and/or content of the wallpaper;

and sending the classified wallpaper to the mobile terminal for display according to a preset rule.

The present application further provides a mobile terminal, including: a memory and a processor;

the memory stores at least one program instruction;

the processor implements the method of generating wallpaper as described above by loading and executing the at least one program instruction.

The present application further provides a computer-readable storage medium having computer program instructions stored thereon; the computer program instructions, when executed by a processor, implement a method of generating wallpaper as described above.

As described above, the method for generating wallpaper, the mobile terminal and the storage medium of the present application, the method for generating wallpaper applied to the mobile terminal or the server, include: acquiring behavior data of a user aiming at a preset type object; generating wallpaper according to the behavior data; and classifying the generated wallpaper. By the mode, the wallpaper can be automatically generated and classified only by collecting the data of the specific type of object operated by the user, the user does not need to additionally set the wallpaper, the intelligence is improved, and the user experience is good.

The foregoing description is only an overview of the technical solutions of the present application, and in order to make the technical means of the present application more clearly understood, the present application may be implemented in accordance with the content of the description, and in order to make the above and other objects, features, and advantages of the present application more clearly understood, the following preferred embodiments are described in detail with reference to the accompanying drawings.

Drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and together with the description, serve to explain the principles of the application. In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed to be used in the description of the embodiments will be briefly described below, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive exercise.

Fig. 1 is a schematic hardware structure diagram of a mobile terminal implementing various embodiments of the present application;

fig. 2 is a communication network system architecture diagram according to an embodiment of the present application;

FIG. 3 is a flow chart diagram illustrating a method of generating wallpaper according to a first embodiment;

4(a) to 4(c) are schematic diagrams of a behavioural data acquisition scenario according to a first embodiment;

FIG. 5 is a schematic diagram illustrating method steps for generating wallpaper according to a first embodiment;

FIG. 6 is a flow chart diagram illustrating a method of generating wallpaper according to a second embodiment;

fig. 7 is one of the configuration diagrams of the mobile terminal shown according to the third embodiment;

fig. 8 is a second schematic structural diagram of the mobile terminal shown in fig. 7.

The implementation, functional features and advantages of the objectives of the present application will be further explained with reference to the accompanying drawings. With the above figures, there are shown specific embodiments of the present application, which will be described in more detail below. These drawings and written description are not intended to limit the scope of the inventive concepts in any manner, but rather to illustrate the inventive concepts to those skilled in the art by reference to specific embodiments.

Detailed Description

Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present application. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present application, as detailed in the appended claims.

It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus 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 apparatus. Without further limitation, the recitation of an element by the phrase "comprising an … …" does not exclude the presence of additional like elements in the process, method, article, or apparatus that comprises the element, and further, where similarly-named elements, features, or elements in different embodiments of the disclosure may have the same meaning, or may have different meanings, that particular meaning should be determined by their interpretation in the embodiment or further by context with the embodiment.

It should be understood that although the terms first, second, third, etc. may be used herein to describe various information, such information should not be limited to these terms. These terms are only used to distinguish one type of information from another. For example, first information may also be referred to as second information, and similarly, second information may also be referred to as first information, without departing from the scope herein. The word "if" as used herein may be interpreted as "at … …" or "when … …" or "in response to a determination", depending on the context. Also, as used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, unless the context indicates otherwise. It will be further understood that the terms "comprises," "comprising," "includes" and/or "including," when used in this specification, specify the presence of stated features, steps, operations, elements, components, items, species, and/or groups, but do not preclude the presence, or addition of one or more other features, steps, operations, elements, components, species, and/or groups thereof. The terms "or" and/or "as used herein are to be construed as inclusive or meaning any one or any combination. Thus, "A, B or C" or "A, B and/or C" means "any of the following: a; b; c; a and B; a and C; b and C; A. b and C ". An exception to this definition will occur only when a combination of elements, functions, steps or operations are inherently mutually exclusive in some way.

It should be understood that, although the steps in the flowcharts in the embodiments of the present application are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and may be performed in other orders unless explicitly stated herein. Moreover, at least some of the steps in the figures may include multiple sub-steps or multiple stages that are not necessarily performed at the same time, but may be performed at different times, in different orders, and may be performed alternately or at least partially with respect to other steps or sub-steps of other steps.

It should be noted that, step numbers such as 310, 320, etc. are used herein for the purpose of more clearly and briefly describing the corresponding content, and do not constitute a substantial limitation on the sequence, and those skilled in the art may perform 320 first and then 310, etc. in the specific implementation, but these should be within the protection scope of the present application.

It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.

In the following description, suffixes such as "module", "component", or "unit" used to denote elements are used only for the convenience of description of the present application, and have no specific meaning in themselves. Thus, "module", "component" or "unit" may be used mixedly.

The mobile terminal may be implemented in various forms. For example, the mobile terminal described in the present application may include mobile terminals such as a mobile phone, a tablet computer, a notebook computer, a palmtop computer, a Personal Digital Assistant (PDA), a Portable Media Player (PMP), a navigation device, a wearable device, a smart band, a pedometer, and the like, and fixed terminals such as a Digital TV, a desktop computer, and the like.

The following description will be given taking a mobile terminal as an example, and it will be understood by those skilled in the art that the configuration according to the embodiment of the present application can be applied to a fixed type terminal in addition to elements particularly used for mobile purposes.

Referring to fig. 1, which is a schematic diagram of a hardware structure of a mobile terminal for implementing various embodiments of the present application, the mobile terminal 100 may include: RF (Radio Frequency) unit 101, WiFi module 102, audio output unit 103, a/V (audio/video) input unit 104, sensor 105, display unit 106, user input unit 107, interface unit 108, memory 109, processor 110, and power supply 111. Those skilled in the art will appreciate that the mobile terminal architecture shown in fig. 1 is not intended to be limiting of mobile terminals, which may include more or fewer components than those shown, or some components may be combined, or a different arrangement of components.

The following describes each component of the mobile terminal in detail with reference to fig. 1:

the radio frequency unit 101 may be configured to receive and transmit signals during information transmission and reception or during a call, and specifically, receive downlink information of a base station and then process the downlink information to the processor 110; in addition, the uplink data is transmitted to the base station. Typically, radio frequency unit 101 includes, but is not limited to, an antenna, at least one amplifier, a transceiver, a coupler, a low noise amplifier, a duplexer, and the like. In addition, the radio frequency unit 101 can also communicate with a network and other devices through wireless communication. The wireless communication may use any communication standard or protocol, including but not limited to GSM (Global System for Mobile communications), GPRS (General Packet Radio Service), CDMA2000(Code Division Multiple Access 2000), WCDMA (Wideband Code Division Multiple Access), TD-SCDMA (Time Division-Synchronous Code Division Multiple Access), FDD-LTE (Frequency Division duplex Long Term Evolution), and TDD-LTE (Time Division duplex Long Term Evolution).

WiFi belongs to short-distance wireless transmission technology, and the mobile terminal can help a user to receive and send e-mails, browse webpages, access streaming media and the like through the WiFi module 102, and provides wireless broadband internet access for the user. Although fig. 1 shows the WiFi module 102, it is understood that it does not belong to the essential constitution of the mobile terminal, and may be omitted entirely as needed within the scope not changing the essence of the invention.

The audio output unit 103 may convert audio data received by the radio frequency unit 101 or the WiFi module 102 or stored in the memory 109 into an audio signal and output as sound when the mobile terminal 100 is in a call signal reception mode, a call mode, a recording mode, a voice recognition mode, a broadcast reception mode, or the like. Also, the audio output unit 103 may also provide audio output related to a specific function performed by the mobile terminal 100 (e.g., a call signal reception sound, a message reception sound, etc.). The audio output unit 103 may include a speaker, a buzzer, and the like.

The a/V input unit 104 is used to receive audio or video signals. The a/V input Unit 104 may include a Graphics Processing Unit (GPU) 1041 and a microphone 1042, the Graphics Processing Unit 1041 Processing image data of a still image or video obtained by an image capturing device (e.g., a camera) in a video capturing mode or an image capturing mode. The processed image frames may be displayed on the display unit 106. The image frames processed by the graphic processor 1041 may be stored in the memory 109 (or other storage medium) or transmitted via the radio frequency unit 101 or the WiFi module 102. The microphone 1042 may receive sounds (audio data) via the microphone 1042 in a phone call mode, a recording mode, a voice recognition mode, or the like, and may be capable of processing such sounds into audio data. The processed audio (voice) data may be converted into a format output transmittable to a mobile communication base station via the radio frequency unit 101 in case of a phone call mode. The microphone 1042 may implement various types of noise cancellation (or suppression) algorithms to cancel (or suppress) noise or interference generated in the course of receiving and transmitting audio signals.

The mobile terminal 100 also includes at least one sensor 105, such as a light sensor, a motion sensor, and other sensors. Specifically, the light sensor includes an ambient light sensor that may optionally adjust the brightness of the display panel 1061 according to the brightness of ambient light, and a proximity sensor that may turn off the display panel 1061 and/or the backlight when the mobile terminal 100 is moved to the ear. As one of the motion sensors, the accelerometer sensor can detect the magnitude of acceleration in each direction (generally, three axes), can detect the magnitude and direction of gravity when stationary, and can be used for applications of recognizing the posture of a mobile phone (such as horizontal and vertical screen switching, related games, magnetometer posture calibration), vibration recognition related functions (such as pedometer and tapping), and the like; as for other sensors such as a fingerprint sensor, a pressure sensor, an iris sensor, a molecular sensor, a gyroscope, a barometer, a hygrometer, a thermometer, and an infrared sensor, which can be configured on the mobile phone, further description is omitted here.

The display unit 106 is used to display information input by a user or information provided to the user. The Display unit 106 may include a Display panel 1061, and the Display panel 1061 may be configured in the form of a Liquid Crystal Display (LCD), an Organic Light-Emitting Diode (OLED), or the like.

The user input unit 107 may be used to receive input numeric or character information and generate key signal inputs related to user settings and function control of the mobile terminal. Specifically, the user input unit 107 may include a touch panel 1071 and other input devices 1072. The touch panel 1071, also referred to as a touch screen, may collect a touch operation performed by a user on or near the touch panel 1071 (e.g., an operation performed by the user on or near the touch panel 1071 using a finger, a stylus, or any other suitable object or accessory), and drive a corresponding connection device according to a predetermined program. The touch panel 1071 may include two parts of a touch detection device and a touch controller. Optionally, the touch detection device detects a touch orientation of a user, detects a signal caused by a touch operation, and transmits the signal to the touch controller; the touch controller receives touch information from the touch sensing device, converts the touch information into touch point coordinates, sends the touch point coordinates to the processor 110, and can receive and execute commands sent by the processor 110. In addition, the touch panel 1071 may be implemented in various types, such as a resistive type, a capacitive type, an infrared ray, and a surface acoustic wave. In addition to the touch panel 1071, the user input unit 107 may include other input devices 1072. In particular, other input devices 1072 may include, but are not limited to, one or more of a physical keyboard, function keys (e.g., volume control keys, switch keys, etc.), a trackball, a mouse, a joystick, and the like, and are not limited to these specific examples.

Further, the touch panel 1071 may cover the display panel 1061, and when the touch panel 1071 detects a touch operation thereon or nearby, the touch panel 1071 transmits the touch operation to the processor 110 to determine the type of the touch event, and then the processor 110 provides a corresponding visual output on the display panel 1061 according to the type of the touch event. Although the touch panel 1071 and the display panel 1061 are shown in fig. 1 as two separate components to implement the input and output functions of the mobile terminal, in some embodiments, the touch panel 1071 and the display panel 1061 may be integrated to implement the input and output functions of the mobile terminal, and is not limited herein.

The interface unit 108 serves as an interface through which at least one external device is connected to the mobile terminal 100. For example, the external device may include a wired or wireless headset port, an external power supply (or battery charger) port, a wired or wireless data port, a memory card port, a port for connecting a device having an identification module, an audio input/output (I/O) port, a video I/O port, an earphone port, and the like. The interface unit 108 may be used to receive input (e.g., data information, power, etc.) from external devices and transmit the received input to one or more elements within the mobile terminal 100 or may be used to transmit data between the mobile terminal 100 and external devices.

The memory 109 may be used to store software programs as well as various data. The memory 109 may mainly include a program storage area and a data storage area, and optionally, the program storage area may store an operating system, an application program (such as a sound playing function, an image playing function, and the like) required by at least one function, and the like; the storage data area may store data (such as audio data, a phonebook, etc.) created according to the use of the cellular phone, and the like. Further, the memory 109 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid state storage device.

The processor 110 is a control center of the mobile terminal, connects various parts of the entire mobile terminal using various interfaces and lines, and performs various functions of the mobile terminal and processes data by operating or executing software programs and/or modules stored in the memory 109 and calling data stored in the memory 109, thereby performing overall monitoring of the mobile terminal. Processor 110 may include one or more processing units; preferably, the processor 110 may integrate an application processor and a modem processor, optionally, the application processor mainly handles operating systems, user interfaces, application programs, etc., and the modem processor mainly handles wireless communications. It will be appreciated that the modem processor described above may not be integrated into the processor 110.

The mobile terminal 100 may further include a power supply 111 (e.g., a battery) for supplying power to various components, and preferably, the power supply 111 may be logically connected to the processor 110 via a power management system, so as to manage charging, discharging, and power consumption management functions via the power management system.

Although not shown in fig. 1, the mobile terminal 100 may further include a bluetooth module or the like, which is not described in detail herein.

In order to facilitate understanding of the embodiments of the present application, a communication network system on which the mobile terminal of the present application is based is described below.

Referring to fig. 2, fig. 2 is an architecture diagram of a communication Network system according to an embodiment of the present disclosure, where the communication Network system is an LTE system of a universal mobile telecommunications technology, and the LTE system includes a UE (User Equipment) 201, an E-UTRAN (Evolved UMTS Terrestrial Radio Access Network) 202, an EPC (Evolved Packet Core) 203, and an IP service 204 of an operator, which are in communication connection in sequence.

Specifically, the UE201 may be the terminal 100 described above, and is not described herein again.

The E-UTRAN202 includes eNodeB2021 and other eNodeBs 2022, among others. Alternatively, the eNodeB2021 may be connected with other enodebs 2022 through a backhaul (e.g., X2 interface), the eNodeB2021 is connected to the EPC203, and the eNodeB2021 may provide the UE201 access to the EPC 203.

The EPC203 may include an MME (Mobility Management Entity) 2031, an HSS (Home Subscriber Server) 2032, other MMEs 2033, an SGW (Serving gateway) 2034, a PGW (PDN gateway) 2035, and a PCRF (Policy and Charging Rules Function) 2036, and the like. Optionally, the MME2031 is a control node that handles signaling between the UE201 and the EPC203, providing bearer and connection management. HSS2032 is used to provide registers to manage functions such as home location register (not shown) and holds subscriber specific information about service characteristics, data rates, etc. All user data may be sent through SGW2034, PGW2035 may provide IP address assignment for UE201 and other functions, and PCRF2036 is a policy and charging control policy decision point for traffic data flow and IP bearer resources, which selects and provides available policy and charging control decisions for a policy and charging enforcement function (not shown).

The IP services 204 may include the internet, intranets, IMS (IP Multimedia Subsystem), or other IP services, among others.

Although the LTE system is described as an example, it should be understood by those skilled in the art that the present application is not limited to the LTE system, but may also be applied to other wireless communication systems, such as GSM, CDMA2000, WCDMA, TD-SCDMA, and future new network systems.

Based on the above mobile terminal hardware structure and communication network system, various embodiments of the present application are provided.

First embodiment

Fig. 3 is a flowchart illustrating a method of generating wallpaper according to the first embodiment. Referring to fig. 3, the method for generating wallpaper of this embodiment, applied to a mobile terminal or a server, includes:

step 310, behavior data for the preset type object is acquired.

The preset type object refers to a type of object of a specific type, including but not limited to at least one of an application, an image, a text, a video and an audio, and the operation behavior of the user on the types of objects may reflect the preference of the user to a certain extent. In this embodiment, a behavior event log of the user on the preset type object is recorded, that is, a behavior of the user operating an application, an image, a text, a video, and an audio is recorded, so that behavior data of the user for the preset type object is obtained.

Optionally, if the preset type object is an application, the behavior data is a frequency and/or duration of using the preset application. For example, if the preset application is a gun-battle game application or a fantasy game application, event logs of the frequency and/or duration of use of the gun-battle game application or the fantasy game application by the user are recorded as the behavior data.

Optionally, if the preset type object is an image, the behavior data includes at least one of the following: sharing the frequency of images, viewing the frequency and/or duration of images, editing the frequency of images. For example, please refer to the sharing interface shown in fig. 4(a), if the user shares an image with an image content of a dog to another application through the sharing interface, an event log of the shared image is recorded as behavior data. For another example, please refer to the browsing interface shown in fig. 4(b), the user often browses a consultation about a dog at the news application, clicks the thumbnail of the image of the dog in the news content to view a large image, and records the frequency of clicking the image and/or the event log of the duration of viewing the image as the behavior data. For another example, please refer to the editing interface shown in fig. 4(c), when the user edits an image whose image content is a dog, such as cuts, scribbles, edits characters, and the like, an event log for editing the image is recorded as behavior data.

Optionally, if the preset type object is a text, the behavior data includes at least one of the following: the frequency of sharing each text, the frequency of editing each text, the frequency and/or duration of reading each text, and the frequency of searching using each text. For example, if a user searches for "pet dog" using an application, an event log of the frequency of searching for "pet dog" and/or the duration of viewing search results is recorded as behavior data.

And step 320, generating the wallpaper according to the behavior data.

In this embodiment, the mobile terminal or the server determines the preference of the user according to the acquired behavior data, so that the wallpaper according with the preference of the user is generated more accurately, the method for generating the wallpaper is more intelligent, and the determination of the preference of the user is more accurate.

Optionally, in step 320, generating a wallpaper according to the behavior data specifically includes:

determining the type of the target image according to the behavior data;

The mobile terminal or the server may determine an image type preferred by the user, i.e., a target image type, according to the behavior data, and thus, may retrieve a corresponding image through the target image type to generate the wallpaper. For example, the type of the target image is determined as "dog" according to the behavior data, at least one image containing the dog is searched in the database by using the "dog" as the type of the target image, and the wallpaper related to the "dog" is generated. In addition, before the determined target image type does not exist, wallpaper is generated according to default setting or random image type.

Optionally, determining the type of the target image according to the behavior data specifically includes:

determining the content type of each object corresponding to the behavior data;

Wherein a classification model is pre-established. For pictures, a large number of images are used for carrying out label classification, and feature data of each type of label image is obtained through machine learning, so that a picture classification model is obtained. For example, feature data of a large number of pictures including flowers can be obtained by learning based on a deep learning method, and by analogy, feature data of various pictures such as birds, fishes, insects, automobiles, buildings and the like can also be obtained, the feature data of each picture corresponds to a label, and the label reflects the content type of the picture, such as flowers, birds, fishes, insects, automobiles, buildings and the like. In addition, for the characters, a character classification model based on a keyword database can be established, and the content of the characters or the labels of the characters are analyzed based on the model to obtain the content type corresponding to the characters. For example, the user uses characters such as "husky", "poodle", "shepherd dog" and the like to search at the application end, and based on the result of the character classification model, the content type can be obtained as a pet dog. Or, the user uses the application end to edit or read an article about the food, and the content type is determined to be the food by extracting the text about the food or the label of the article. In addition, for the application, the corresponding content classification may be obtained by determining the preset application attribute, that is, the application attribute reflects the content classification. The application may be a set application list, for example, the application list of the preset application includes: the method comprises the following steps of absolutely seeking survival, calling for errands, hornet nest tourism, micro-travel notes and traveling to where, wherein the application attributes of the absolutely seeking survival and calling for errands belong to gunfight games, the content type is gunfight games, and the content types of the hornet nest tourism, the micro-travel notes and the traveling to where belong to travel games are travel types. And when the behavior data of each object in the preset type objects is acquired, classifying each object in the preset type objects, and further determining the content type corresponding to each object according to the classification result. For example, when the object corresponding to the behavior data is a picture, the picture is placed in a picture classification model for identification and classification to obtain a content type, in an application scene, a user clicks a thumbnail of which the image content in the text is "dog" by using a news application terminal, and after model classification, the content type corresponding to the clicked picture is "dog". For another example, if the preset type object is an application, the preset type object is classified according to the application attribute to obtain the content type, and in an application scene, the application attribute is a gun battle game, and the content type is a gun battle game. And if the preset type object is a character, classifying according to the content of the character, and in an application scene, searching characters about the pet dog such as 'hardy', a poodle 'and a shepherd dog' by using an application terminal by a user, and classifying to the content type corresponding to the 'pet dog'.

After the content type of the behavior object is determined, the behavior data of the current time is counted into the behavior data of the objects of the same type, so that the behavior data statistics value of the objects of the same content type in the preset type objects, such as the total frequency and/or the total duration, is obtained in an accumulated manner. And then, judging whether the behavior data statistic value corresponding to the object with the same content type in the preset type objects meets the preset condition, and if so, determining the target image type according to the content type corresponding to the behavior data statistic value meeting the preset condition. The preset condition is a threshold value of the behavior data statistic value corresponding to different set content types, the content type corresponding to the behavior data statistic value meeting the threshold value can be defined as a preferred content type, and then the target image type is obtained according to the preferred content type. In general, the preferred content type corresponds to the target image type, for example, the preferred content type is "pet dog", and the target image type is also "pet dog", or the target image type may cover a larger range of content than the preferred content type, for example, the preferred content type is "pet dog", and the target image type may be "pet".

In an application scenario, if the preset condition is that the number of operations corresponding to the same content type is greater than or equal to a preset number, the content type is determined to be the target image type. For example, users often click on thumbnails of pet dog images in the information to view large images while watching a consultation about pet dogs at a news application. Wherein, the image is a preset type object, and the pet dog image in the information is an object corresponding to the behavior data. After the pet dog images are subjected to model classification, the content type of the image clicked by the user is determined to be 'dog', the current behavior data of the user is counted to the behavior data of which the content type is 'dog', if the user clicks a thumbnail of the pet dog image in the information to view a large image when reading another information, the current behavior data of the user is counted again to the behavior data of which the content type is 'dog', and so on, the behavior data of the user clicking the image of the same content type each time is counted to the corresponding behavior data statistic value, and therefore the behavior data statistic value corresponding to the content type is obtained. And when the times of the behavior data statistics value reaches the preset times, determining that the content type corresponding to the dog is the target image type. The preset condition may also be that the duration of viewing the object of the same content type is greater than or equal to a preset duration, and then the content type is determined to be the target image type. The preset condition may also be that the operation times of the same content type are greater than or equal to a preset number and the viewing duration is greater than or equal to a preset duration, for example, if the behavior data corresponding to the same content type simultaneously satisfy that the operation times are greater than or equal to the preset number and the viewing duration is greater than or equal to the preset duration, the content type is determined to be the target image type.

In this embodiment, the method for generating wallpaper further includes:

continuously recording behavior data aiming at preset type objects;

and updating the target image type according to the latest behavior data.

The latest behavior data of the user is obtained by continuously recording the behavior data aiming at the preset type of objects, so that the behavior data corresponding to the objects with the same content type are counted after the content type of each object corresponding to the behavior data is determined, and the behavior data statistical values corresponding to different content types are obtained. And then, judging whether the behavior data statistic value corresponding to each content type meets a preset condition, and continuously updating the content type corresponding to the behavior data statistic value meeting the preset condition to be the target image type, so as to meet the requirement of continuously adapting to the user.

In practical implementation, please refer to fig. 5, a classification model is pre-established through machine learning training. And then, recording a behavior event log of the user to the preset type object, namely behavior data. Then, determining the content type of each object corresponding to the behavior data, and counting the behavior data corresponding to the objects with the same content type to obtain behavior data statistics values corresponding to different content types, wherein the behavior data statistics values include: the method comprises the steps of counting the frequency of sharing images to other application terminals by a user through the application terminal, counting the frequency and the time duration of checking the images by the user at the application terminal, counting the frequency and the time duration of using strong-attribute applications (namely applications of a preset type) by the user at the application terminal, and counting the frequency of editing the images by the user at the application terminal. Then, judging whether the behavior data statistic value corresponding to each content type meets a preset condition or not; and determining the content type corresponding to the behavior data statistic value meeting the preset condition as the target image type. And then, the mobile terminal or the server pushes a corresponding image for the user according to the type of the target image to serve as screen locking wallpaper. In addition, the mobile terminal or the server continuously records the behavior data aiming at the preset type object; and updating the target image type according to the latest behavior data, so that the machine can continuously learn the habit of the user, and thus, the latest favorite image of the user can be continuously pushed to serve as the wallpaper.

Optionally, there may be step 330, classifying the generated wallpaper.

The generated wallpaper can be classified and stored according to the source and/or content of the wallpaper. For example, the wallpapers generated locally by the mobile terminal are classified into one type according to the source of the wallpaper, the wallpapers generated at the server are classified into one type, and images acquired from different application terminals can be classified according to application terminal names. For another example, the content such as the object, the scene, the behavior, etc. in the image is classified according to the recognition, and corresponding categories are returned, such as: flowers, birds, fish, insects, cars, buildings, etc., stored in corresponding categories, may be stored locally on a server or mobile terminal. Through classification, the classified wallpaper can be sent to the mobile terminal for display according to a preset rule. In actual implementation, the pushing may be performed according to a time sequence or a reverse sequence of generating the wallpaper, or may be performed according to a sorting sequence or a reverse sequence of the classified file names, or may be performed according to a sorting sequence or a reverse sequence of the behavior data, which is not limited herein. In addition, by classifying the wallpaper, the user can conveniently manage the wallpaper, such as sharing, editing or screening.

As described above, in the method for generating wallpaper of this embodiment, behavior data of a user for a preset type object is acquired; generating wallpaper according to the behavior data; and classifying the generated wallpaper. By the mode, the wallpaper preferred by the user can be automatically generated and classified without extra operation according to the behavior data of the preset specific type object by only collecting the user operation, the wallpaper setting by the user is not required, the intelligence of generating the screen locking wallpaper is improved, and the user experience is good.

Second embodiment

Fig. 6 is a flowchart illustrating a method of generating wallpaper according to the first embodiment. Referring to fig. 6, the method for generating wallpaper of the present embodiment includes:

and step 610, the mobile terminal acquires behavior data of the user aiming at the preset type object and uploads the behavior data to the server.

The preset type object refers to a type of object of a specific type, including but not limited to at least one of an application, an image, a text, a video and an audio, and the operation behavior of the user on the types of objects may reflect the preference of the user to a certain extent. In this embodiment, the mobile terminal records a behavior event log of the user on the preset type object, that is, records a behavior of the user operating an application, an image, a text, a video, and an audio, so as to obtain behavior data of the user for the preset type object.

And step 620, the server generates corresponding wallpaper according to the behavior data.

In this embodiment, the server determines the preference of the user according to the acquired behavior data, so that the wallpaper according with the preference of the user is generated more accurately, the method for generating the wallpaper is more intelligent, and the determination of the preference of the user is more accurate.

Optionally, in step 620, generating a wallpaper according to the behavior data specifically includes:

determining the type of the target image according to the behavior data;

Optionally, after step 620, the server generates corresponding wallpapers according to the behavior data, and then classifies the wallpapers.

The server may determine the image type preferred by the user, i.e., the target image type, according to the behavior data, and thus, may retrieve the corresponding image through the target image type to generate the wallpaper. For example, the type of the target image is determined as "dog" according to the behavior data, at least one image containing the dog is searched in the database by using the "dog" as the type of the target image, and the wallpaper related to the "dog" is generated. In addition, before the determined target image type does not exist, wallpaper is generated according to default setting or random image type.

determining the content type of each object corresponding to the behavior data;

Wherein a classification model is pre-established. For pictures, a large number of images are used for carrying out label classification, and feature data of each type of label image is obtained through machine learning, so that a picture classification model is obtained. For example, feature data of a large number of pictures including flowers can be obtained by learning based on a deep learning method, and by analogy, feature data of various pictures such as birds, fishes, insects, automobiles, buildings and the like can also be obtained, the feature data of each picture corresponds to a label, and the label reflects the content type of the picture, such as flowers, birds, fishes, insects, automobiles, buildings and the like.

For the characters, a character classification model based on a keyword database can be established, and the content of the characters or the labels of the characters are analyzed based on the model to obtain the content types corresponding to the characters. For example, the user uses characters such as "husky", "poodle", "shepherd dog" and the like to search at the application end, and based on the result of the character classification model, the content type can be obtained as a pet dog. Or, the user uses the application end to edit or read an article about the food, and the content type is determined to be the food by extracting the text about the food or the label of the article.

For the application, the corresponding content classification may be obtained by determining the preset application attribute, that is, the application attribute reflects the content classification. The application may be a set application list, for example, the application list of the preset application includes: the method comprises the following steps of absolutely seeking survival, calling for errands, hornet nest tourism, micro-travel notes and traveling to where, wherein the application attributes of the absolutely seeking survival and calling for errands belong to gunfight games, the content type is gunfight games, and the content types of the hornet nest tourism, the micro-travel notes and the traveling to where belong to travel games are travel types. And when the behavior data of each object in the preset type objects is acquired, classifying each object in the preset type objects, and further determining the content type corresponding to each object according to the classification result. For example, when the object corresponding to the behavior data is a picture, the picture is placed in a picture classification model for identification and classification to obtain a content type, in an application scene, a user clicks a thumbnail of which the image content in the text is "dog" by using a news application terminal, and after model classification, the content type corresponding to the clicked picture is "dog". For another example, if the preset type object is an application, the preset type object is classified according to the application attribute to obtain the content type, and in an application scene, the application attribute is a gun battle game, and the content type is a gun battle game. And if the preset type object is a character, classifying according to the content of the character, and in an application scene, searching characters about the pet dog such as 'hardy', a poodle 'and a shepherd dog' by using an application terminal by a user, and classifying to the content type corresponding to the 'pet dog'.

After the content type of the behavior object is determined, the behavior data of the current time is counted into the behavior data of the objects of the same type, so that the behavior data statistics value of the objects of the same content type in the preset type objects, such as the total frequency and/or the total duration, is obtained in an accumulated manner. And then, judging whether the behavior data statistic value corresponding to the object with the same content type in the preset type objects meets the preset condition, and if so, determining the target image type according to the content type corresponding to the behavior data statistic value meeting the preset condition. The preset condition is that a system end sets thresholds of behavior data statistics values corresponding to different content types, the content type corresponding to the behavior data statistics value meeting the threshold can be defined as a preferred content type, and then a target image type is obtained according to the preferred content type. In general, the preferred content type corresponds to the target image type, for example, the preferred content type is "pet dog", and the target image type is also "pet dog", or the target image type may cover a larger range of content than the preferred content type, for example, the preferred content type is "pet dog", and the target image type may be "pet".

In an application scenario, if the preset condition is that the number of operations corresponding to the same content type is greater than or equal to a preset number, the content type is determined to be the target image type. For example, users often click on thumbnails of pet dog images in the information to view large images while watching a consultation about pet dogs at a news application. Wherein, the image is a preset type object, and the pet dog image in the information is an object corresponding to the behavior data. After the pet dog images are subjected to model classification, the content type of the image clicked by the user is determined to be 'dog', the current behavior data of the user is counted to the behavior data of which the content type is 'dog', if the user clicks a thumbnail of the pet dog image in the information to view a large image when reading another information, the current behavior data of the user is counted again to the behavior data of which the content type is 'dog', and so on, the behavior data of the user clicking the image of the same content type each time is counted to the corresponding behavior data statistic value, and therefore the behavior data statistic value corresponding to the content type is obtained. And when the number of times of the behavior data statistics value reaches 5 times, determining that the content type corresponding to the dog is the target image type. The preset condition may also be that the duration for viewing the object of the same content type is greater than or equal to a preset duration, and the content type is determined to be the target image type. The preset condition may also be that the operation times of the same content type are greater than or equal to a preset number and the viewing duration is greater than or equal to a preset duration, for example, if the behavior data corresponding to the same content type simultaneously satisfy that the operation times are greater than or equal to 5 times and the viewing duration is greater than or equal to 30s, the content type is determined to be the target image type.

Optionally, in step 620, the server classifies the generated wallpaper, including:

The server can classify and store the generated wallpaper according to the source and/or content of the wallpaper. For example, the wallpapers generated locally by the mobile terminal are classified into one type according to the source of the wallpaper, the wallpapers generated at the server are classified into one type, and images acquired from different application terminals can be classified according to application terminal names. For another example, the content such as the object, the scene, the behavior, etc. in the image is classified according to the recognition, and corresponding categories are returned, such as: flowers, birds, fish, insects, cars, buildings, etc., stored in corresponding categories. It is also possible to perform classified storage according to the time of wallpaper generation. Through classification, the classified wallpaper can be sent to the mobile terminal for display according to a preset rule. In actual implementation, the pushing may be performed according to a time sequence or a reverse sequence of generating the wallpaper, or may be performed according to a sorting sequence or a reverse sequence of the classified file names, or may be performed according to a sorting sequence or a reverse sequence of the behavior data, which is not limited herein. In addition, by classifying the wallpaper, the user can conveniently manage the wallpaper, such as sharing, editing or screening.

Further, before the wallpaper classification is not generated, wallpaper is generated according to default settings or random image types.

As described above, in the method for generating wallpaper, the mobile terminal acquires behavior data of a user for a preset type object and uploads the behavior data to the server; and the server generates corresponding wallpaper according to the behavior data and classifies the wallpaper. By the method, the wallpaper can be automatically generated and classified only by collecting the data of the specific type of object operated by the user, the user does not need to additionally set the wallpaper, the intelligence is improved, and the user experience is good.

Third embodiment

Fig. 7 is one of the structural diagrams of the mobile terminal shown according to the third embodiment. Referring to fig. 7, the terminal 80 of the present embodiment includes a memory 802 and a processor 806, wherein the memory 802 is used for storing at least one program instruction, and the processor 806 is used for implementing the methods of the first embodiment to the second embodiment by loading and executing the at least one program instruction.

Referring to fig. 8, in actual implementation, the terminal 80 includes a memory 802, a memory controller 804, one or more processors 806 (only one of which is shown), a peripheral interface 808, a radio frequency module 850, a positioning module 812, a camera module 814, an audio module 816, a screen 818, and a key module 860. These components communicate with one another via one or more communication buses/signal lines 822.

It is to be understood that the configuration shown in fig. 8 is merely exemplary, and that the mobile terminal 80 may include more or fewer components than shown in fig. 8, or have a different configuration than shown in fig. 8. The components shown in fig. 8 may be implemented in hardware, software, or a combination thereof.

The memory 802 may be used for storing software programs and modules, such as program instructions/modules corresponding to the methods in the embodiments of the present application, and the processor 806 executes the software programs and modules stored in the storage controller 804 to execute various functional applications and data processing, so as to implement the methods described above.

The memory 802 may include high-speed random access memory, and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory 802 may further include memory located remotely from the processor 806, which may be connected to the terminal 80 via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof. Access to the memory 802 by the processor 806, as well as possibly other components, may be under the control of a memory controller 804.

The peripheral interface 808 couples various input/output devices to the CPU and to the memory 802. The processor 806 executes various software, instructions within the memory 802 to perform various functions of the terminal 80 and to perform data processing.

In some embodiments, the peripheral interface 808, the processor 806, and the memory controller 804 may be implemented in a single chip. In other examples, they may be implemented separately from the individual chips.

The rf module 850 is used for receiving and transmitting electromagnetic waves, and implementing interconversion between the electromagnetic waves and electrical signals, so as to communicate with a communication network or other devices. The radio frequency module 850 may include various existing circuit elements for performing these functions, such as an antenna, a radio frequency transceiver, a digital signal processor, an encryption/decryption chip, a Subscriber Identity Module (SIM) card, memory, and so forth. The rf module 850 may communicate with various networks such as the internet, an intranet, a wireless network, or with other devices via a wireless network. The wireless network may comprise a cellular telephone network, a wireless local area network, or a metropolitan area network. The Wireless network may use various Communication standards, protocols, and technologies, including, but not limited to, Global System for Mobile Communication (GSM), Enhanced Data GSM Environment (EDGE), wideband Code division multiple Access (W-CDMA), Code Division Multiple Access (CDMA), Time Division Multiple Access (TDMA), bluetooth, Wireless Fidelity (WiFi) (e.g., Institute of Electrical and Electronics Engineers (IEEE) standard IEEE802.11 a, IEEE802.11 b, IEEE802.1 g, and/or IEEE802.11 n), Voice over Internet Protocol (VoIP), world wide mail Access (Microwave for Access, Access to Wireless, Max), and any other suitable Communication protocols for short message Communication, and may even include those protocols that have not yet been developed.

The positioning module 812 is used for acquiring the current position of the terminal 80. Examples of the positioning module 812 include, but are not limited to, a global positioning satellite system (GPS), a wireless local area network-based positioning technology, or a mobile communication network-based positioning technology.

The camera module 814 is used to take pictures or videos. The pictures or videos taken may be stored in the memory 802 and may be transmitted through the radio frequency module 850.

The audio module 816 provides an audio interface to the user, which may include one or more microphones, one or more speakers, and audio circuitry. The audio circuitry receives audio data from the peripheral interface 808, converts the audio data to electrical information, and transmits the electrical information to the speaker. The speaker converts the electrical information into sound waves that the human ear can hear. The audio circuitry also receives electrical information from the microphone, converts the electrical information to voice data, and transmits the voice data to the peripheral interface 808 for further processing. The audio data may be retrieved from the memory 802 or through the radio frequency module 850. In addition, the audio data may also be stored in the memory 802 or transmitted through the radio frequency module 850. In some examples, the audio module 816 may also include a headphone jack for providing an audio interface to headphones or other devices.

The screen 818 provides an output interface between the terminal 80 and the user. In particular, screen 818 displays video output to the user, the content of which may include text, graphics, video, and any combination thereof. Some of the output results are for some of the user interface objects. It is understood that the screen 818 may also include a touch screen. The touch screen provides both an output and an input interface between the terminal 80 and the user. In addition to displaying video output to users, touch screens also receive user input, such as user clicks, swipes, and other gesture operations, so that user interface objects respond to these user input. The technique of detecting user input may be based on resistive, capacitive, or any other possible touch detection technique. Specific examples of touch screen display units include, but are not limited to, liquid crystal displays or light emitting polymer displays.

The key module 860 also provides an interface for user input to the mobile terminal 80, and the user may cause the mobile terminal 80 to perform different functions by pressing different keys.

In practical implementation, the computer storage medium is applied to the mobile terminal shown in fig. 7 or fig. 8, thereby improving intelligence of wallpaper generation.

The present application further provides a mobile terminal device, where the terminal device includes a memory, a processor, and an information display program stored in the memory and executable on the processor, and the information display program, when executed by the processor, implements the steps of the method in any of the above embodiments.

The present application further provides a computer-readable storage medium having stored thereon an information display program, which when executed by a processor, implements the steps of the method in any of the above embodiments.

In the embodiments of the mobile terminal and the computer-readable storage medium provided in the present application, all technical features of the embodiments of the method for generating wallpaper are included, and the expanding and explaining contents of the specification are substantially the same as those of the embodiments of the method for remarking an incoming call, and are not described herein again.

Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present application may be embodied in the form of a software product, which is stored in a storage medium (e.g., ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal device (e.g., a mobile phone, a computer, a server, a controlled terminal, or a network device) to execute the method of each embodiment of the present application.

The above description is only a preferred embodiment of the present application, and not intended to limit the scope of the present application, and all modifications of equivalent structures and equivalent processes, which are made by the contents of the specification and the drawings of the present application, or which are directly or indirectly applied to other related technical fields, are included in the scope of the present application.

Embodiments of the present application also provide a computer program product, which includes computer program code, when the computer program code runs on a computer, the computer is caused to execute the method in the above various possible embodiments.

Embodiments of the present application further provide a chip, which includes a memory and a processor, where the memory is used to store a computer program, and the processor is used to call and run the computer program from the memory, so that a device in which the chip is installed executes the method in the above various possible embodiments.

Other embodiments of the present application will be apparent to those skilled in the art from consideration of the specification and practice of the application disclosed herein. The embodiments of the present application are intended to cover any variations, uses, or adaptations of the application following, in general, the principles of the application and including such departures from the present disclosure as come within known or customary practice within the art to which the application pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the application being indicated by the following claims.

It will be understood that the present application is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the application is limited only by the appended claims.

Claims

1. A method of generating wallpaper, comprising:

acquiring behavior data aiming at a preset type object;

and generating wallpaper according to the behavior data.

2. The method of claim 1, further comprising, after the step of generating wallpaper from the behavior data;

and classifying the generated wallpaper.

3. The method of claim 1, wherein the generating wallpaper from the behavior data comprises:

determining the type of a target image according to the behavior data;

4. The method of claim 3, wherein determining a target image type from the behavior data comprises:

determining the content type of at least one object corresponding to the behavior data;

judging whether the behavior data statistic value meets a preset condition or not;

5. The method of any one of claims 1 to 4, comprising at least one of;

6. The method of any one of claims 1 to 4, further comprising:

continuously recording behavior data aiming at the preset type object;

and updating the target image type according to the latest behavior data.

7. The method according to any one of claims 1 to 4, wherein the generating of the corresponding wallpaper according to the target image type comprises:

8. The method of claim 2, wherein the classifying the generated wallpaper comprises:

9. A method of generating wallpaper, comprising:

the server receives behavior data aiming at preset type objects;

and the server generates corresponding wallpaper according to the behavior data.

10. The method as claimed in claim 9, wherein after the step of generating wallpaper by the server according to the behavior data, the method comprises:

and classifying the wallpaper.

11. The method of claim 9, wherein the server generates wallpaper from the behavior data, comprising:

12. The method of claim 11, wherein the server determines a target image type from the behavior data, comprising:

13. The method of claim 9, wherein the server classifies the generated wallpaper, comprising:

14. A mobile terminal, comprising: a memory and a processor;

the memory stores at least one program instruction;

the processor implements the method of generating wallpaper as claimed in any one of claims 1 to 13 by loading and executing the at least one program instruction.

15. A computer readable storage medium having computer program instructions stored thereon; the computer program instructions, when executed by a processor, implement a method of generating wallpaper as claimed in any one of claims 1 to 13.