wherein, the picture adopts YUV to carry out color coding, E is the image quality information corresponding to the key frame picture, p_iIs the frequency of occurrence of the ith gray level, the value range [0, 255 ] of i]L is the maximum value of the gray level, and L is 255.

S206, when the image quality information is larger than a quality threshold value, determining that the image quality information meets a quality condition; and determining the key frame picture corresponding to the image quality information as a video thumbnail of the target video.

Specifically, when the image quality information is greater than a quality threshold, the data processing device determines that the image quality information meets a quality condition; determining the key frame picture corresponding to the image quality information as a video thumbnail of the target video, wherein the quality threshold is preset, the data processing device sequentially acquires the image quality information of the key frame picture, and when the image quality information E is greater than the quality threshold, the data processing device determines that the image quality information meets the quality condition, and determines the key frame picture corresponding to the image quality information as the video thumbnail of the target video.

And S207, when the image quality information is less than or equal to a quality threshold, acquiring a next video scene of a target video scene to which the key frame picture belongs, and determining the next video scene of the target video scene as the target video scene.

Specifically, when the image quality information is less than or equal to the quality threshold, the data processing device obtains a video scene next to the target video scene to which the key frame picture belongs, and determines the video scene next to the target video scene as the target video scene, it is understood that, when the image quality information is less than or equal to the quality threshold, namely, when the image quality information does not satisfy the quality condition, the data processing equipment acquires the next video scene of the target video scene to which the key frame picture belongs, determines the next video scene of the target video scene as the target video scene, acquires the key frame picture of the target video scene, and detecting whether the key frame pictures meet the quality condition until the key frame pictures meeting the quality condition are detected, and determining the key frame pictures meeting the quality condition as the video thumbnails of the target videos.

It should be noted that, in a target video, there may be a plurality of key frame pictures of a continuous video scene that do not satisfy quality conditions, which results in that a large number of key frame pictures need to be detected to obtain a video thumbnail, in order to prevent the above situation from occurring, a large number of key frame pictures are usually not detected, but a key frame picture with the largest image quality information is obtained from the detected key frame pictures as a video thumbnail of the target video, and the specific implementation steps are as follows:

when the image quality information is smaller than or equal to a quality threshold, acquiring duration information corresponding to the image quality information, and storing the image quality information and time information corresponding to the image quality information into a quality information set; the duration information is a time consumed to generate the image quality information; and acquiring a next video scene of a target video scene to which the key frame picture belongs, determining the next video scene of the target video scene as the target video scene, acquiring the maximum image quality information in the quality information set until the sum of all time length information in the statistical quality information set is greater than a time length threshold value, and determining the key frame picture corresponding to the maximum image quality information as a video thumbnail of the target video. It can be understood that the quality information set is used for storing image quality information of a key frame picture and time information corresponding to the image quality information, the duration threshold is preset, and when the sum of all the duration information in the quality information set is greater than the duration threshold, determining the key frame picture corresponding to the maximum image quality information in the quality information set as a video thumbnail of the target video, for example, after the image quality information of the ten key frame pictures is calculated in sequence, the quality conditions are not met, ten pieces of image quality information and time information corresponding to the image quality information are stored in the quality information set, if the sum of the ten pieces of time length information in the quality information set is greater than a time length threshold value, the key frame picture of the next video scene is not acquired to calculate the image quality information, but the key frame picture corresponding to the maximum image quality information in the ten pieces of image quality information is determined as the video thumbnail of the target video.

Referring to fig. 4, a schematic structural diagram of a data processing apparatus is provided in an embodiment of the present application. As shown in fig. 4, the data processing apparatus 1 according to the embodiment of the present application may include: a targetvideo acquisition unit 11, an imagequality generation unit 12, a videothumbnail determination unit 13, a videoscene acquisition unit 14.

A targetvideo acquisition unit 11 configured to acquire a target video for extracting a video thumbnail;

specifically, the targetvideo obtaining unit 11 obtains a target video for extracting a video thumbnail, it is understood that the target video is a video for extracting a video thumbnail, the video thumbnail is a frame of picture of a preview video, and may be any frame of picture in the target video, or other pictures, the targetvideo obtaining unit 11 obtains the target video, the target video may be a video stored locally, or may be downloaded from a corresponding address of the target video, it should be noted that, in order to achieve the optimal load balance of the device, a message queue may be used, synchronous call is transparently realized through an asynchronous message queue, the device using the message queue can improve concurrency performance, specifically, the targetvideo obtaining unit 11 obtains address information of a video to be processed for extracting the video thumbnail, and sends the address information to the message queue, and acquiring a target video corresponding to the target address information according to the target address information in the message queue.

Referring to fig. 4, the targetvideo obtaining unit 11 according to the embodiment of the present application may include: an addressinformation acquisition sub-unit 111, a targetvideo acquisition sub-unit 112.

An addressinformation obtaining subunit 111, configured to obtain address information of a to-be-processed video for extracting a video thumbnail, and send the address information to a message queue;

a targetvideo obtaining subunit 112, configured to obtain, according to the target address information in the message queue, a target video corresponding to the target address information; the message queue comprises address information of a plurality of videos to be processed, and the target address information is any address information in the message queue.

The imagequality generating unit 12 is configured to acquire a key frame picture of the target video, and generate image quality information of the key frame picture according to a grayscale frequency of the key frame picture;

specifically, the image quality generating unit 12 obtains a key frame picture of the target video, and generates the image quality information of the key frame picture according to the gray frequency of the key frame picture, it can be understood that the key frame picture is a frame picture in video scenes, specifically, a first frame picture of the video scenes, the video scenes include at least one picture, each video scene corresponds to one key frame picture, the target video may include a plurality of video scenes, the image quality generating unit 12 obtains the key frame picture of the target video, the key frame picture may be a key frame picture of any one video scene of the target video, and generates the image quality information of the key frame picture according to the gray frequency of the key frame picture, the gray frequency includes the gray frequency corresponding to each gray level, and the gray frequency corresponding to the gray level is the frequency of the gray level appearing in the picture, the gray level is a desirable value in a gray level value range, for example, a picture is color-coded by using YUV, "Y" represents brightness of a pixel point, that is, a gray level value, "U" and "V" represent chromaticity of the pixel point, the gray level value corresponds to the gray level, the value range of the gray level value is 0 to 255, the gray level is any integer in the range of 0 to 255, and the image quality generating unit 12 generates the image quality information of the key frame picture according to the gray frequency corresponding to each gray level of the key frame picture.

Referring to fig. 4, the imagequality generating unit 12 according to the embodiment of the present application may include: a key frame acquisition sub-unit 121, a grayscalefrequency acquisition sub-unit 122, and an imagequality generation sub-unit 123.

A keyframe acquiring subunit 121, configured to acquire a target video scene of the target video according to the skip information, and acquire a key frame picture in the target video scene; the skip information is used for indicating the position information of a target video scene in a target video;

a grayfrequency obtaining subunit 122, configured to obtain M pieces of gray information corresponding to the key frame picture, count distribution quantities of the M pieces of gray information in multiple gray levels, and generate a gray frequency corresponding to each gray level according to the distribution quantity of each gray level; wherein M is the number of pixel points of the key frame picture;

and the imagequality generating subunit 123 is configured to obtain image quality information corresponding to the key frame picture according to the grayscale frequency and the grayscale corresponding to each grayscale.

A videothumbnail determination unit 13, configured to determine a key frame picture whose image quality information satisfies a quality condition as a video thumbnail of the target video.

Specifically, when the image quality information is greater than a quality threshold, the videothumbnail determining unit 13 determines that the image quality information satisfies a quality condition; and determining the key frame picture corresponding to the image quality information as a video thumbnail of the target video. It can be understood that the quality threshold is preset, the data processing device sequentially obtains the image quality information of the key frame pictures, and when the image quality information E is greater than the quality threshold, it is determined that the image quality information satisfies the quality condition, and the key frame picture corresponding to the image quality information is determined as the video thumbnail of the target video.

A videoscene obtaining unit 14, configured to, when the image quality information is less than or equal to a quality threshold, obtain a video scene next to a target video scene to which the key frame picture belongs, and determine the video scene next to the target video scene as the target video scene.

Specifically, when the image quality information is less than or equal to the quality threshold, the videoscene obtaining unit 14 obtains duration information corresponding to the image quality information, and stores the image quality information and time information corresponding to the image quality information into a quality information set; the duration information is a time consumed to generate the image quality information; the videoscene obtaining unit 14 obtains a next video scene of a target video scene to which the key frame picture belongs, determines the next video scene of the target video scene as the target video scene, and triggers the videothumbnail determining unit 13 to obtain the maximum image quality information in the quality information set until the sum of all the time length information in the statistical quality information set is greater than a time length threshold, and determines the key frame picture corresponding to the maximum image quality information as the video thumbnail of the target video.

Referring to fig. 5, a schematic structural diagram of a data processing apparatus is provided in an embodiment of the present application. As shown in fig. 5, thedata processing apparatus 1000 may include: at least oneprocessor 1001, such as a CPU, at least onenetwork interface 1004, auser interface 1003,memory 1005, at least onecommunication bus 1002. Wherein acommunication bus 1002 is used to enable connective communication between these components. Theuser interface 1003 may include a Display screen (Display), and theoptional user interface 1003 may also include a standard wired interface or a wireless interface. Thenetwork interface 1004 may optionally include a standard wired interface, a wireless interface (e.g., WI-FI interface). Thememory 1005 may be a high-speed RAM memory or a non-volatile memory (non-volatile memory), such as at least one disk memory. Thememory 1005 may optionally be at least one memory device located remotely from theprocessor 1001. As shown in fig. 5, thememory 1005, which is a kind of computer storage medium, may include therein an operating system, a network communication module, a user interface module, and a data processing application program.

In thedata processing apparatus 1000 shown in fig. 5, anetwork interface 1004 may provide a network communication function, and auser interface 1003 is mainly used as an interface for providing input for a user; theprocessor 1001 may be configured to call a data processing application stored in thememory 1005 to implement the description of the data processing method in the embodiment corresponding to any one of fig. 2 to fig. 3, which is not described herein again.

It should be understood that thedata processing apparatus 1000 described in this embodiment of the application may perform the description of the data processing method in the embodiment corresponding to any one of fig. 2 to fig. 3, and may also perform the description of the data processing apparatus in the embodiment corresponding to fig. 4, which is not described herein again. In addition, the beneficial effects of the same method are not described in detail.

Further, here, it is to be noted that: an embodiment of the present application further provides a computer-readable storage medium, where a computer program executed by the aforementioned data processing apparatus is stored in the computer-readable storage medium, and the computer program includes program instructions, and when the processor executes the program instructions, the description of the data processing method in any one of the embodiments corresponding to fig. 2 to fig. 3 can be performed, so that details are not repeated here. In addition, the beneficial effects of the same method are not described in detail. For technical details not disclosed in embodiments of the computer-readable storage medium referred to in the present application, reference is made to the description of embodiments of the method of the present application.

It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. The storage medium may be a magnetic disk, an optical disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), or the like.

The above disclosure is only for the purpose of illustrating the preferred embodiments of the present application and is not to be construed as limiting the scope of the present application, so that the present application is not limited thereto, and all equivalent variations and modifications can be made to the present application.

Claims

1. A data processing method, comprising:

acquiring a target video for extracting a video thumbnail;

acquiring a key frame picture of the target video, extracting pixel points in the key frame picture according to step length information, storing the pixel points to a pixel point set, counting gray information of the pixel points contained in the pixel point set, and generating gray frequencies corresponding to each gray level according to the number of the pixel points of each gray level and the total number of the pixel points in the pixel point set;

obtaining the image quality information of the key frame picture according to the gray frequency corresponding to each gray level and the gray level

Wherein, P_iIs the gray frequency of the ith gray level, and the value range of i is [0, 255%]L is the maximum value of the gray level, L is 255;

2. The method according to claim 1, wherein the obtaining of the target video for extracting the video thumbnail comprises:

3. The method according to claim 2, wherein the obtaining the target video corresponding to the target address information according to the target address information in the message queue comprises:

4. The method of claim 1, wherein the obtaining the key frame picture of the target video comprises:

acquiring a target video scene of the target video according to the skipping information, and acquiring a key frame picture in the target video scene; the skip information is used for indicating the position information of the target video scene in the target video.

5. The method according to claim 1, wherein the taking the key frame picture whose image quality information satisfies the quality condition as the video thumbnail of the target video comprises:

6. The method of claim 5, further comprising:

7. The method according to claim 6, wherein when the image quality information is less than or equal to a quality threshold, acquiring a next video scene of a target video scene to which the key frame picture belongs, and determining the next video scene of the target video scene as the target video scene comprises:

8. A data processing apparatus, characterized by comprising:

the image quality generating unit is used for acquiring a key frame picture of the target video, extracting pixel points in the key frame picture according to step length information, storing the pixel points to a pixel point set, counting gray information of the pixel points contained in the pixel point set, and generating gray frequency corresponding to each gray level according to the number of the pixel points of each gray level and the total number of the pixel points in the pixel point set;

the image quality generating unit is further configured to obtain the image quality information of the key frame picture according to the gray frequency and the gray level corresponding to each gray level

9. A computer storage medium, characterized in that the computer storage medium stores a computer program comprising program instructions which, when executed by a processor, perform the method according to any one of claims 1-7.

10. A data processing apparatus comprising a processor and a memory; wherein the memory stores a computer program adapted to be loaded by the processor and to perform the method of any of claims 1-7.