CN110392306A - A kind of data processing method and equipment - Google Patents
A kind of data processing method and equipment Download PDFInfo
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- CN110392306A CN110392306A CN201910689334.7A CN201910689334A CN110392306A CN 110392306 A CN110392306 A CN 110392306A CN 201910689334 A CN201910689334 A CN 201910689334A CN 110392306 A CN110392306 A CN 110392306A
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- video
- frame picture
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
- H04N21/44—Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream, rendering scenes according to MPEG-4 scene graphs
- H04N21/44008—Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream, rendering scenes according to MPEG-4 scene graphs involving operations for analysing video streams, e.g. detecting features or characteristics in the video stream
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/80—Generation or processing of content or additional data by content creator independently of the distribution process; Content per se
- H04N21/83—Generation or processing of protective or descriptive data associated with content; Content structuring
- H04N21/84—Generation or processing of descriptive data, e.g. content descriptors
- H04N21/8405—Generation or processing of descriptive data, e.g. content descriptors represented by keywords
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/80—Generation or processing of content or additional data by content creator independently of the distribution process; Content per se
- H04N21/85—Assembly of content; Generation of multimedia applications
- H04N21/854—Content authoring
Abstract
The embodiment of the present application discloses a kind of data processing method and equipment, and wherein method includes the following steps: to obtain the target video for extracting video thumbnails；The key frame picture for obtaining the target video generates the image quality information of the key frame picture according to the gray scale frequency of the key frame picture；The key frame picture that described image quality information meets quality requirements is determined as to the video thumbnails of the target video.Using the application, it is ensured that the quality of video thumbnails improves the efficiency of configuration thumbnail.
Description
Technical field
This application involves electronic technology field more particularly to a kind of data processing methods and equipment.
Background technique
The arrival of mobile internet era, various video applications also come into being, and user's homemade video is especially short
Explosive growth is presented in video, also greatly increases to the demand of video configuration video thumbnails, and configuration video thumbnails mainly lead to
Manual figure and open source video decoding software figure are crossed, the video thumbnails of partial video website are matched by hand by editorial staff
Figure, for example, being directed to the video of movie and television play, editorial staff can directly use poster figure as the video thumbnails of video, open
Source video decoding software figure is to use first frame image as the breviary of video by the short-sighted frequency automatic decoding first frame to upload
Figure, or several frame images are first decoded, take the preferable frame image of quality as thumbnail；Since the efficiency of human-edited is asked
Topic, manual figure are unable to satisfy the demand of extensive short Video Applications, and by open source video decoding software figure, the frame because headed by
Or starting several frames is that completely black image probability is very big, only decodes first frame, leads to the poor quality of thumbnail, if from decoding
Several frame images in obtain a frame image as thumbnail, calculating process is more complex, and arithmetic speed is slow, affects the effect of figure
Rate.
Summary of the invention
The embodiment of the present application provides a kind of data processing method and equipment, it is ensured that the quality of video thumbnails mentions
The efficiency of height configuration thumbnail.
On the one hand the embodiment of the present application provides a kind of data processing method, it may include:
Obtain the target video for extracting video thumbnails；
The key frame picture for obtaining the target video generates the key according to the gray scale frequency of the key frame picture
The image quality information of frame picture；
The key frame picture that described image quality information meets quality requirements is determined as to the video contracting of the target video
Sketch map.
Wherein, the target video obtained for extracting video thumbnails, comprising:
The address information for extracting the video to be processed of video thumbnails is obtained, the address information is sent to message
Queue；
The corresponding target video of target address information is obtained according to the target address information in the message queue；It is described to disappear
Breath queue includes the address information of multiple videos to be processed, and the target address information is any one address letter in message queue
Breath.
Wherein, the target address information according in the message queue obtains the corresponding target of target address information and regards
Frequently, comprising:
According to the priority orders of address information in the message queue, by highest priority and untreated address information
It is determined as target address information；
According to target video indicated by target address information acquisition target address information.
Wherein, the key frame picture for obtaining the target video, it is raw according to the gray scale frequency of the key frame picture
At the image quality information of the key frame picture, comprising:
The target video scene that the target video is obtained according to jump information obtains the pass in the target video scene
Key frame picture；The jump information is used to indicate location information of the target video scene in target video；
The corresponding M grayscale information of the key frame picture is obtained, point of the M grayscale information in multiple gray levels is counted
Cloth amount generates the corresponding gray scale frequency of each gray level according to the abundance of each gray level；Wherein, M is key
The quantity of the pixel of frame picture；
It is corresponding that the key frame picture is obtained according to each corresponding gray scale frequency of gray level and the gray level
Image quality information.
Wherein, described to obtain the corresponding M grayscale information of the key frame picture, obtain the distribution of each grayscale information
Amount generates the corresponding gray scale frequency of each grayscale information according to the abundance, comprising:
The pixel in key frame picture is extracted according to step information, the pixel is stored to pixel collection；
Count the grayscale information of all pixels point and the corresponding gray scale frequency of each grayscale information in the pixel collection.
Wherein, described that described image quality information is met into the key frame picture of quality requirements as the target video
Video thumbnails, comprising:
When described image quality information is greater than quality threshold, it is determined that described image quality information meets quality requirements；
The corresponding key frame picture of described image quality information is determined as to the video thumbnails of target video.
Wherein, further includes:
When described image quality information is less than or equal to quality threshold, the key frame picture said target video is obtained
Next video scene of the target video scene is determined as target video scene by next video scene of scene.
Wherein, described when described image quality information is less than or equal to quality threshold, obtain the key frame picture institute
Next video scene of the target video scene is determined as target view by the next video scene for belonging to target video scene
Frequency scene, comprising:
When described image quality information is less than or equal to quality threshold, the corresponding duration of described image quality information is obtained
Information stores described image quality information and the corresponding temporal information of described image quality information to quality information set；Institute
Stating duration information is the consumed time for generating described image quality information；
The next video scene for obtaining the key frame picture said target video scene, by the target video scene
Next video scene be determined as target video scene, until the sum of all duration informations are greater than in statistical quality information aggregate
When duration threshold value, maximum image quality information in the quality information set is obtained, the maximum image quality information is corresponding
Key frame picture be determined as the video thumbnails of target video.
On the one hand the embodiment of the present application provides a kind of data processing equipment, it may include:
Target video acquiring unit, for obtaining the target video for extracting video thumbnails；
Picture quality generation unit, for obtaining the key frame picture of the target video, according to the key frame picture
Gray scale frequency generate the image quality information of the key frame picture；
Video thumbnails determination unit, the key frame picture for described image quality information to be met to quality requirements determine
For the video thumbnails of the target video.
Wherein, the target video acquiring unit includes:
Address information obtains subelement, for obtaining the address information of the video to be processed for extracting video thumbnails,
The address information is sent to message queue；
Target video obtains subelement, for obtaining destination address letter according to the target address information in the message queue
Cease corresponding target video；The message queue includes the address information of multiple videos to be processed, and the target address information is
Any one address information in message queue.
Wherein, the target video obtains subelement and is specifically used for:
According to the priority orders of address information in the message queue, by highest priority and untreated address information
It is determined as target address information；
According to target video indicated by target address information acquisition target address information.
Wherein, described image quality generation unit includes:
Key frame obtains subelement, for obtaining the target video scene of the target video according to jump information, obtains
Key frame picture in the target video scene；The jump information is used to indicate target video scene in target video
Location information；
Gray scale frequency acquisition subelement counts M ash for obtaining the corresponding M grayscale information of the key frame picture
Abundance of the information in multiple gray levels is spent, it is corresponding to generate each gray level according to the abundance of each gray level
Gray scale frequency；Wherein, M is the quantity of the pixel of key frame picture；
Picture quality generates subelement, for being obtained according to each corresponding gray scale frequency of gray level and the gray level
Take the corresponding image quality information of the key frame picture.
Wherein, the gray scale frequency acquisition subelement is specifically used for:
The pixel in key frame picture is extracted according to step information, the pixel is stored to pixel collection；
Count the grayscale information of all pixels point and the corresponding gray scale frequency of each grayscale information in the pixel collection.
Wherein, the video thumbnails determination unit is specifically used for:
When described image quality information is greater than quality threshold, it is determined that described image quality information meets quality requirements；
The corresponding key frame picture of described image quality information is determined as to the video thumbnails of target video.
Wherein, further includes:
Video scene acquiring unit is used for when described image quality information is less than or equal to quality threshold, described in acquisition
Next video scene of key frame picture said target video scene, by next video scene of the target video scene
It is determined as target video scene.
Wherein, the video scene acquiring unit is specifically used for:
When described image quality information is less than or equal to quality threshold, the corresponding duration of described image quality information is obtained
Information stores described image quality information and the corresponding temporal information of described image quality information to quality information set；Institute
Stating duration information is the consumed time for generating described image quality information；
The next video scene for obtaining the key frame picture said target video scene, by the target video scene
Next video scene be determined as target video scene, until the sum of all duration informations are greater than in statistical quality information aggregate
When duration threshold value, triggering video thumbnails determination unit obtains maximum image quality information in the quality information set, by institute
State the video thumbnails that the corresponding key frame picture of maximum image quality information is determined as target video.
On the one hand the embodiment of the present application provides a kind of computer storage medium, the computer storage medium is stored with more
Item instruction, described instruction are suitable for being loaded by processor and executing above-mentioned method and step.
On the one hand the embodiment of the present application provides a kind of data processing equipment, including processor and memory；Wherein, described
Memory is stored with computer program, and the computer program is suitable for being loaded by the processor and being executed above-mentioned method step
Suddenly.
In the embodiment of the present application, by obtaining the target video for extracting video thumbnails；Obtain the target view
The key frame picture of frequency generates the image quality information of the key frame picture according to the gray scale frequency of the key frame picture；
The key frame picture that described image quality information meets quality requirements is determined as to the video thumbnails of the target video.In mesh
It marks in the key frame picture of video and screens video thumbnails, avoid repeatedly screening in the same video scene, be regarded according to target
Key frame picture quality information determines video thumbnails in frequency, can be to avoid using the completely black first frame of target video as video
The problem of thumbnail, ensure that the quality of video thumbnails, improve the efficiency of configuration thumbnail.
Detailed description of the invention
In order to illustrate the technical solutions in the embodiments of the present application or in the prior art more clearly, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
Some embodiments of application for those of ordinary skill in the art without creative efforts, can be with
It obtains other drawings based on these drawings.
Fig. 1 a is a kind of configuration diagram of data processing provided by the embodiments of the present application；
Fig. 1 b is a kind of schematic diagram of a scenario of data processing method provided by the embodiments of the present application；
Fig. 1 c is a kind of schematic diagram of a scenario of data processing method provided by the embodiments of the present application；
Fig. 2 is a kind of flow diagram of data processing method provided by the embodiments of the present application；
Fig. 3 is a kind of flow diagram of data processing method provided by the embodiments of the present application；
Fig. 4 is a kind of structural schematic diagram of data processing equipment provided by the embodiments of the present application；
Fig. 5 is a kind of structural schematic diagram of data processing equipment provided by the embodiments of the present application.
Specific embodiment
Below in conjunction with the attached drawing in the embodiment of the present application, technical solutions in the embodiments of the present application carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of embodiments of the present application, instead of all the embodiments.It is based on
Embodiment in the application, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall in the protection scope of this application.
A referring to Figure 1 is a kind of system architecture diagram of data processing provided in an embodiment of the present invention.Server 10f passes through
Interchanger 10e and communication bus 10d and user terminal cluster establish connection, user terminal cluster can include: user terminal 10a,
User terminal 10b ..., user terminal 10c.The address information of multiple videos to be processed is stored in database 10g.Server
10f is by highest priority in database 10g and untreated address information is determined as target address information, according to the target
Target video indicated by the acquisition of information target address information of location.Server 10f obtains institute according to pre-set jump information
The target video scene for stating target video further obtains the key frame picture in the target video scene, according to key frame
The abundance of each gray level generates the corresponding gray scale frequency of each gray level in picture, it is generally the case that in order to reduce
The calculation amount for calculating gray scale frequency, improves the efficiency of calculating, generally according to the picture in preset step-length information extraction key frame picture
Vegetarian refreshments, and the corresponding image quality information of the key frame picture is generated, when described image quality information is greater than quality threshold,
Then determine that described image quality information meets quality requirements；The corresponding key frame picture of described image quality information is determined as mesh
The video thumbnails for marking video, when described image quality information is less than or equal to quality threshold, i.e., image quality information is discontented
When sufficient quality requirements, server 10f obtains next video scene of the key frame picture said target video scene, by institute
The next video scene for stating target video scene is determined as target video scene, obtains the key frame figure of target video scene
Piece, and detect whether key frame picture meets quality requirements, the key frame picture until detecting the condition of satisfaction will meet condition
Key frame picture be determined as the video thumbnails of target video.
The invention relates to data processing equipment can be server, the user terminal include: tablet computer,
The terminal devices such as smart phone, PC (PC), laptop, palm PC.
Below in conjunction with Fig. 1 b, it is illustrated for specific implementation scene provided by the embodiments of the present application, as shown in Figure 1 b.Net
The address information for needing to extract the video to be processed of video thumbnails is sent to proxy module, the Website front-end packet by front end of standing
The webpage that can carry out video display is included, the address information of video to be processed includes the storage address of video to be processed, unified money
Source finger URL (Uniform Resource Locator, url), proxy module can be the Proxy in server, proxy module
The IP information of video thumbnails acquisition request and proxy module be packaged and is transmitted to message queue, the message queue can
To include the video thumbnails acquisition request for multiple videos to be processed, task module is obtained from message queue is directed to target
The video thumbnails acquisition request of video completes the transcoding of target video, includes task module 1, task module in server
2, image quality information in target video is met the pass of quality requirements by ... the multiple tasks module such as task module n, task module
Key frame picture is determined as the video thumbnails of the target video, and video thumbnails are sent to and corresponding act on behalf of mould by task module
Video thumbnails information is returned to Website front-end by block, proxy module, is innovated during above-mentioned acquisition video thumbnails
Using message queue, and pass through the transparent realization synchronization call of asynchronous message queue, can store in message queue multiple to be processed
The video thumbnails acquisition request of video then obtains video breviary when there is task module to be in idle condition from message queue
Figure acquisition request reaches optimal load balancing, by largely testing, using the concurrency performance energy of the system of message queue
It is enough linearly increasing with the increase of task module, it will not decay, be tool provided by the embodiments of the present application please also refer to Fig. 1 c
Body implement scene is illustrated, and as illustrated in figure 1 c, abscissa is task module quantity in figure, and ordinate is that system concurrency processing disappears
Quantity is ceased, curve 1 is the system using message queue, and curve 2 is the system for not using message queue, it can be seen from the figure that
Can be linearly increasing with the increase of task module using the concurrency performance of the system of message queue, it will not decay, and do not adopt
It can be decayed with the increase of task module with the concurrency performance of the system of message queue, it can be seen that simultaneously for height
Heat condition, the performance using the system of message queue are more excellent.
Fig. 2 is referred to, provides a kind of flow diagram of data processing method for the embodiment of the present application.As shown in Fig. 2,
The embodiment of the present application the method may include following steps S101- step S103.
S101 obtains the target video for extracting video thumbnails；
Specifically, data processing equipment obtains the target video for extracting video thumbnails, it is to be understood that described
Data processing equipment can be the server 10f in Fig. 1 a, and the target video is the video for extracting video thumbnails, depending on
Frequency thumbnail is a frame picture of preview video, can be any one frame picture or other pictures, data in target video
Processing equipment obtains target video, and target video can be stored in local video, or from the corresponding of target video
Address is downloaded, it should be noted that in order to reach the optimal load balancing of data processing equipment, will use message team
Column, by the transparent realization synchronization call of asynchronous message queue, the concurrency performance that can be improved using the equipment of message queue, specifically
, data processing equipment obtains the address information for extracting the video to be processed of video thumbnails, and the address information is sent out
It send to message queue, the corresponding target video of target address information is obtained according to the target address information in the message queue.
S102 obtains the key frame picture of the target video, generates institute according to the gray scale frequency of the key frame picture
State the image quality information of key frame picture；
Specifically, data processing equipment obtains the key frame picture of the target video, according to the key frame picture
Gray scale frequency generates the image quality information of the key frame picture, it is to be understood that the key frame picture is video field
A frame picture in scape specifically can be the first frame picture of video scene, include an at least picture, each view in video scene
Frequency scene corresponds to a key frame picture, and target video may include multiple video scenes, and data processing equipment obtains the mesh
The key frame picture of video is marked, the key frame picture can be the key frame picture of any one video scene of target video,
And the image quality information of the key frame picture is generated according to the gray scale frequency of the key frame picture, the gray scale frequency packet
The corresponding gray scale frequency of each gray level is included, the corresponding gray scale frequency of gray level is the frequency that gray level occurs in picture,
Gray level is the value that can use in gray scale value range, for example, picture is color coded using YUV, " Y " indicates the bright of pixel
Brightness, that is, grayscale value, what " U " and " V " was indicated is the coloration of pixel, grayscale value corresponding grey scale grade, the value of grayscale value
Range is 0-255, then gray level is any one integer within the scope of 0-255, and data processing equipment is according to the key frame figure
The corresponding gray scale frequency of each gray level of piece generates the image quality information of the key frame picture.
The key frame picture that described image quality information meets quality requirements is determined as the view of the target video by S103
Frequency thumbnail.
Specifically, the key frame picture that described image quality information meets quality requirements is determined as institute by data processing equipment
State the video thumbnails of target video, it is to be understood that the quality requirements are setting Rule Informations, are specifically as follows image
Quality information is greater than the threshold value of setting, and data processing equipment successively obtains the image quality information of key frame picture, if image matter
Amount information is unsatisfactory for quality requirements, then the image quality information of next key frame picture is detected, when the image of key frame picture
When quality information meets quality requirements, the key frame picture for meeting quality requirements is determined as to the video breviary of the target video
Figure.
In the embodiment of the present application, by obtaining the target video for extracting video thumbnails；Obtain the target view
The key frame picture of frequency generates the image quality information of the key frame picture according to the gray scale frequency of the key frame picture；
The key frame picture that described image quality information meets quality requirements is determined as to the video thumbnails of the target video.In mesh
It marks in the key frame picture of video and screens video thumbnails, avoid repeatedly screening in the same video scene, be regarded according to target
Key frame picture quality information determines video thumbnails in frequency, can be to avoid using the completely black first frame of target video as video
The problem of thumbnail, ensure that the quality of video thumbnails, improve the efficiency of configuration thumbnail.
Fig. 3 is referred to, provides a kind of flow diagram of data processing method for the embodiment of the present application.As shown in figure 3,
The embodiment of the present application the method may include following steps S201- step S207.
S201 obtains the address information for extracting the video to be processed of video thumbnails, the address information is sent
To message queue；
Specifically, data processing equipment obtains the address information for extracting the video to be processed of video thumbnails, by institute
It states address information and is sent to message queue, it is to be understood that the video to be processed is for extracting video thumbnails
Video, the address information is the storage address of video to be processed or the download address of video to be processed, the message
Queue is used to store the address information of video to be processed, may include the address information of multiple videos to be processed.
S202 obtains the corresponding target video of target address information according to the target address information in the message queue；
The message queue includes the address information of multiple videos to be processed, and the target address information is any one in message queue
Address information；
Specifically, data processing equipment obtains target address information pair according to the target address information in the message queue
The target video answered；The message queue includes the address information of multiple videos to be processed, and the target address information is message
Any one address information in queue, it is to be understood that data processing equipment obtains one of them from the message queue
Address information obtains the corresponding target video of target address information as target address information, and the target address information can
Think any one address information in the message queue, the message queue includes the address letter of multiple videos to be processed
Breath.
The corresponding target video of target address information, which is obtained, from the target address information in message queue implements process
It is as follows:
Data processing equipment is not located highest priority and according to the priority orders of address information in the message queue
The address information of reason is determined as target address information；According to mesh indicated by target address information acquisition target address information
Mark video.It is understood that the priority orders are the label that address information carries, when the priority orders can be
Between sequence, message address carry temporal information in advance, then the priority orders of address information are higher, or according to video to be processed
Significance level determine priority orders, data processing equipment is by highest priority and untreated address information is determined as target
Address information, and the target video according to indicated by target address information acquisition target address information.
S203 obtains the target video scene of the target video according to jump information, obtains the target video scene
In key frame picture；The jump information is used to indicate location information of the target video scene in target video；
Specifically, data processing equipment obtains the target video scene of the target video according to jump information, institute is obtained
State the key frame picture in target video scene；It is understood that data processing equipment obtains the mesh according to jump information
Mark video target video scene, the jump information be it is pre-set, be used to indicate target video scene in target video
In location information, the jump information is specifically as follows the duration ratio of video, and duration ratio corresponds to one in target video
A play time, data processing equipment obtain the corresponding target video field of video frame according to the video frame of the play time
Scape, then the key frame picture of the target video scene is obtained, for example, jump information is 10%, then obtain target video duration
The corresponding target video scene in 10% position, if when 10 minutes a length of, the data processing equipment acquisition mesh of target video
Video corresponding target video scene when play time is 1 minute is marked, and further obtains the key of target video scene
Frame picture.
S204 obtains the corresponding M grayscale information of the key frame picture, counts M grayscale information in multiple gray levels
In abundance, the corresponding gray scale frequency of each gray level is generated according to the abundance of each gray level；Wherein, M
For the quantity of the pixel of key frame picture；
Specifically, data processing equipment obtains the corresponding M grayscale information of the key frame picture, M gray scale letter is counted
The abundance in multiple gray levels is ceased, the corresponding ash of each gray level is generated according to the abundance of each gray level
Spend frequency, it is to be understood that include M grayscale information in the key frame picture, M is the number of the pixel of key frame picture
Amount, the corresponding grayscale information of a pixel, counts abundance of the M grayscale information in multiple gray levels, and gray level is
The value that can use in gray scale value range, for example, picture is color coded using YUV, the grayscale value corresponding grey scale grade of picture, ash
The value range of rank value is 0-255, then gray level is any one integer within the scope of 0-255, according to each gray level
Abundance generate the corresponding gray scale frequency of each gray level, the abundance of each gray level is each gray level
Pixel quantity on picture generates institute according to the total pixel quantity of the pixel quantity of each gray level and picture
State the corresponding gray scale frequency of each gray level.
It should be noted that improving the efficiency of calculating in order to reduce the calculation amount for calculating gray scale frequency, will not usually obtaining
The grayscale information of each pixel in picture, step S204 are specifically as follows: being extracted in key frame picture according to step information
Pixel, the pixel is stored to pixel collection；Count the gray scale letter of all pixels point in the pixel collection
Cease gray scale frequency corresponding with each grayscale information, it is to be understood that the step information is preset information, using described
The corresponding frequency of step information extracts pixel from key frame picture, and the pixel is stored to pixel collection, for example,
Step information is 10, then each 10 pixels extract a pixel from key frame picture and store to pixel collection, system
The grayscale information for counting all pixels point in the pixel collection, according to the pixel quantity and pixel of each gray level
Total pixel quantity generates the corresponding gray scale frequency of each gray level in set.
S205 obtains the key frame picture pair according to each corresponding gray scale frequency of gray level and the gray level
The image quality information answered.
Specifically, data processing equipment obtains institute according to each corresponding gray scale frequency of gray level and the gray level
State the corresponding image quality information of key frame picture, it is to be understood that according to the corresponding gray scale frequency of each gray level
With the maximum value of the gray level, the corresponding image quality information of the key frame picture, formula (1) are obtained using formula (1)
It is as follows:
Wherein, picture is color coded using YUV, and E is the corresponding image quality information of key frame picture, piIt is i-th
The frequency that a gray level occurs, the value range [0,255] of i, L is the maximum value of gray level, L=255.
S206, when described image quality information is greater than quality threshold, it is determined that described image quality information meets quality
Condition；The corresponding key frame picture of described image quality information is determined as to the video thumbnails of target video.
Specifically, data processing equipment is when described image quality information is greater than quality threshold, it is determined that described image matter
Amount information meets quality requirements；The corresponding key frame picture of described image quality information is determined as to the video breviary of target video
Figure, it is to be understood that the quality threshold is to preset, and data processing equipment successively obtains the image matter of key frame picture
Information is measured, when described image quality information E is greater than quality threshold, it is determined that described image quality information meets quality requirements,
And the corresponding key frame picture of described image quality information is determined as to the video thumbnails of target video.
S207 obtains the affiliated mesh of key frame picture when described image quality information is less than or equal to quality threshold
The next video scene for marking video scene, is determined as target video field for next video scene of the target video scene
Scape.
Specifically, data processing equipment obtains the pass when described image quality information is less than or equal to quality threshold
Next video scene of key frame picture said target video scene, next video scene of the target video scene is true
It is set to target video scene, it is to be understood that when described image quality information is less than or equal to quality threshold, i.e. image matter
When amount information is unsatisfactory for quality requirements, data processing equipment obtains the next of the key frame picture said target video scene
Next video scene of the target video scene is determined as target video scene, obtains target video field by video scene
The key frame picture of scape, and detect whether key frame picture meets quality requirements, the key frame figure until detecting the condition of satisfaction
The key frame picture for the condition that meets is determined as the video thumbnails of target video by piece.
It should be noted that there may be the key frame pictures of multiple continuous videos scenes, and matter is not satisfied in target video
Amount condition, video thumbnails could be obtained by resulting in the need for detecting a large amount of key frame picture, and above situation occurs in order to prevent, be led to
Chang Buhui detects a large amount of key frame picture, but the maximum key of image quality information is obtained from the key frame picture of detection
Video thumbnails of the frame picture as target video implement step are as follows:
When described image quality information is less than or equal to quality threshold, the corresponding duration of described image quality information is obtained
Information stores described image quality information and the corresponding temporal information of described image quality information to quality information set；Institute
Stating duration information is the consumed time for generating described image quality information；Obtain the key frame picture said target video
Next video scene of the target video scene is determined as target video scene, directly by next video scene of scene
When into statistical quality information aggregate, the sum of all duration informations are greater than duration threshold value, obtain maximum in the quality information set
The corresponding key frame picture of the maximum image quality information is determined as the video breviary of target video by image quality information
Figure.It is understood that the quality information set is used to store the image quality information and described image matter of key frame picture
The corresponding temporal information of information is measured, the duration threshold value is to preset, when the sum of duration informations all in quality information set
When greater than duration threshold value, the corresponding key frame picture of maximum image quality information in quality information set is determined as target video
Video thumbnails, for example, quality item is not satisfied after the image quality information for successively calculating ten key frame pictures
Part then stores ten image quality informations and the corresponding temporal information of described image quality information in quality information set, if
When the sum of ten duration informations are greater than duration threshold value in quality information set, the key frame figure of next video scene is no longer obtained
Piece calculates image quality information, but the corresponding key frame picture of maximum image quality information in ten image quality informations is true
It is set to the video thumbnails of target video.
In the embodiment of the present application, by obtaining the target video for extracting video thumbnails；Obtain the target view
The key frame picture of frequency generates the image quality information of the key frame picture according to the gray scale frequency of the key frame picture；
The key frame picture that described image quality information meets quality requirements is determined as to the video thumbnails of the target video.In mesh
It marks in the key frame picture of video and screens video thumbnails, avoid repeatedly screening in the same video scene, be regarded according to target
Key frame picture quality information determines video thumbnails in frequency, can be to avoid using the completely black first frame of target video as video
The problem of thumbnail, ensure that the quality of video thumbnails, improve the efficiency of configuration thumbnail.
Fig. 4 is referred to, provides a kind of structural schematic diagram of data processing equipment for the embodiment of the present application.As shown in figure 4,
The data processing equipment 1 of the embodiment of the present application may include: target video acquiring unit 11, picture quality generation unit
12, video thumbnails determination unit 13, video scene acquiring unit 14.
Target video acquiring unit 11, for obtaining the target video for extracting video thumbnails；
Specifically, target video acquiring unit 11 obtains the target video for extracting video thumbnails, it is possible to understand that
It is that the target video is the video for extracting video thumbnails, video thumbnails are a frame pictures of preview video, can be with
It is any one frame picture or other pictures in target video, target video acquiring unit 11 obtains target video, target view
Frequency can be stored in local video, or be downloaded from the corresponding address of target video, it should be noted that be
The optimal load balancing of equipment is reached, message queue is will use, by the transparent realization synchronization call of asynchronous message queue, adopts
The concurrency performance that can be improved with the equipment of message queue, specifically, target video acquiring unit 11 is obtained for extracting video contracting
The address information is sent to message queue, according in the message queue by the address information of the video to be processed of sketch map
Target address information obtains the corresponding target video of target address information.
Fig. 4 is referred to, the target video acquiring unit 11 of the embodiment of the present application may include: that address information obtains son
Unit 111, target video obtain subelement 112.
Address information obtains subelement 111, and the address for obtaining the video to be processed for extracting video thumbnails is believed
Breath, is sent to message queue for the address information；
Target video obtains subelement 112, for according to the target address information acquisition target in the message queue
The corresponding target video of location information；The message queue includes the address information of multiple videos to be processed, the destination address letter
Breath is any one address information in message queue.
Picture quality generation unit 12, for obtaining the key frame picture of the target video, according to the key frame figure
The gray scale frequency of piece generates the image quality information of the key frame picture；
Specifically, picture quality generation unit 12 obtains the key frame picture of the target video, according to the key frame
The gray scale frequency of picture generates the image quality information of the key frame picture, it is to be understood that the key frame picture is
A frame picture in video scene specifically can be the first frame picture of video scene, include an at least picture in video scene,
The corresponding key frame picture of each video scene, target video may include multiple video scenes, picture quality generation unit
12 obtain the key frame picture of the target videos, and the key frame picture can be target video any one video scene
Key frame picture, and generate according to the gray scale frequency of the key frame picture image quality information of the key frame picture, institute
Stating gray scale frequency includes the corresponding gray scale frequency of each gray level, and the corresponding gray scale frequency of gray level is gray level in picture
The frequency of appearance, gray level is the value that can use in gray scale value range, for example, picture is color coded using YUV, " Y " table
Show the brightness of pixel, that is, grayscale value, " U " and " V " indicate be pixel coloration, grayscale value corresponding grey scale grade,
The value range of grayscale value is 0-255, then gray level is any one integer within the scope of 0-255, picture quality generation unit
12 believe according to the picture quality that the corresponding gray scale frequency of each gray level of the key frame picture generates the key frame picture
Breath.
Fig. 4 is referred to, the described image quality generation unit 12 of the embodiment of the present application may include: that key frame obtains son list
Member 121, gray scale frequency acquisition subelement 122, picture quality generate subelement 123.
Key frame obtains subelement 121 and obtains for obtaining the target video scene of the target video according to jump information
Take the key frame picture in the target video scene；The jump information is used to indicate target video scene in target video
Location information；
Gray scale frequency acquisition subelement 122, for obtaining the corresponding M grayscale information of the key frame picture, statistics M is a
Abundance of the grayscale information in multiple gray levels generates each gray level pair according to the abundance of each gray level
The gray scale frequency answered；Wherein, M is the quantity of the pixel of key frame picture；
Picture quality generates subelement 123, for according to each corresponding gray scale frequency of gray level and the gray scale
Grade obtains the corresponding image quality information of the key frame picture.
Video thumbnails determination unit 13, the key frame picture for described image quality information to be met to quality requirements are true
It is set to the video thumbnails of the target video.
Specifically, then video thumbnails determination unit 13 determines institute when described image quality information is greater than quality threshold
It states image quality information and meets quality requirements；The corresponding key frame picture of described image quality information is determined as target video
Video thumbnails.It is understood that the quality threshold is to preset, data processing equipment successively obtains key frame picture
Image quality information, when described image quality information E be greater than quality threshold when, it is determined that described image quality information meets matter
Amount condition, and the corresponding key frame picture of described image quality information is determined as to the video thumbnails of target video.
Video scene acquiring unit 14, for obtaining institute when described image quality information is less than or equal to quality threshold
The next video scene for stating key frame picture said target video scene, by next video field of the target video scene
Scape is determined as target video scene.
Specifically, video scene acquiring unit 14 obtains when described image quality information is less than or equal to quality threshold
The corresponding duration information of described image quality information, by described image quality information and described image quality information corresponding time
Information is stored to quality information set；The duration information is the consumed time for generating described image quality information；Video
Scene acquiring unit 14 obtains next video scene of the key frame picture said target video scene, and the target is regarded
Next video scene of frequency scene is determined as target video scene, until statistical quality information aggregate in all duration informations it
When with being greater than duration threshold value, triggering video thumbnails determination unit 13 obtains maximum image quality in the quality information set and believes
The corresponding key frame picture of the maximum image quality information, is determined as the video thumbnails of target video by breath.
In the embodiment of the present application, by obtaining the target video for extracting video thumbnails；Obtain the target view
The key frame picture of frequency generates the image quality information of the key frame picture according to the gray scale frequency of the key frame picture；
The key frame picture that described image quality information meets quality requirements is determined as to the video thumbnails of the target video.In mesh
It marks in the key frame picture of video and screens video thumbnails, avoid repeatedly screening in the same video scene, be regarded according to target
Key frame picture quality information determines video thumbnails in frequency, can be to avoid using the completely black first frame of target video as video
The problem of thumbnail, ensure that the quality of video thumbnails, improve the efficiency of configuration thumbnail.
Fig. 5 is referred to, provides a kind of structural schematic diagram of data processing equipment for the embodiment of the present application.As shown in figure 5,
The data processing equipment 1000 may include: at least one processor 1001, such as CPU, at least one network interface 1004,
User interface 1003, memory 1005, at least one communication bus 1002.Wherein, communication bus 1002 is for realizing these groups
Connection communication between part.Wherein, user interface 1003 may include display screen (Display), and optional user interface 1003 is also
It may include standard wireline interface and wireless interface.Network interface 1004 optionally may include the wireline interface, wireless of standard
Interface (such as WI-FI interface).Memory 1005 can be high speed RAM memory, be also possible to non-labile memory (non-
Volatile memory), a for example, at least magnetic disk storage.Memory 1005 optionally can also be that at least one is located at
Storage device far from aforementioned processor 1001.As shown in figure 5, as can in a kind of memory 1005 of computer storage medium
To include operating system, network communication module, Subscriber Interface Module SIM and data process application.
In data processing equipment 1000 shown in Fig. 5, network interface 1004 can provide network communication function, user interface
1003 are mainly used for providing the interface of input for user；And processor 1001 can be used for calling the number stored in memory 1005
According to processing application program, to realize the description in above-mentioned Fig. 2-Fig. 3 embodiment corresponding to any one to the data processing method,
Details are not described herein.
It should be appreciated that the executable Fig. 2-Fig. 3 above of data processing equipment 1000 described in the embodiment of the present application is any
Description in a corresponding embodiment to the data processing method, also can be performed in embodiment corresponding to Fig. 4 above to described
The description of data processing equipment, details are not described herein.In addition, being described to using the beneficial effect of same procedure, also no longer carry out
It repeats.
In addition, it need to be noted that: the embodiment of the present application also provides a kind of computer readable storage medium, and institute
State computer program performed by the data processing equipment for being stored with and being mentioned above in computer readable storage medium, and the meter
Calculation machine program includes program instruction, when the processor execute described program instruction when, be able to carry out above Fig. 2-Fig. 3 any one
To the description of the data processing method in corresponding embodiment, therefore, will no longer repeat here.In addition, to phase is used
Beneficial effect with method describes, and is also no longer repeated.Computer readable storage medium involved in the application is implemented
Undisclosed technical detail in example, please refers to the description of the application embodiment of the method.
Those of ordinary skill in the art will appreciate that realizing all or part of the process in above-described embodiment method, being can be with
Relevant hardware is instructed to complete by computer program, the program can be stored in a computer-readable storage medium
In, the program is when being executed, it may include such as the process of the embodiment of above-mentioned each method.Wherein, the storage medium can be magnetic
Dish, CD, read-only memory (Read-Only Memory, ROM) or random access memory (Random Access
Memory, RAM) etc..
Above disclosed is only the application preferred embodiment, cannot limit the right model of the application with this certainly
It encloses, therefore according to equivalent variations made by the claim of this application, still belongs to the range that the application is covered.
Claims (10)
1. a kind of data processing method characterized by comprising
Obtain the target video for extracting video thumbnails；
The key frame picture for obtaining the target video generates the key frame figure according to the gray scale frequency of the key frame picture
The image quality information of piece；
The key frame picture that described image quality information meets quality requirements is determined as to the video thumbnails of the target video.
2. the method according to claim 1, wherein the target obtained for extracting video thumbnails regards
Frequently, comprising:
The address information for extracting the video to be processed of video thumbnails is obtained, the address information is sent to message team
Column；
The corresponding target video of target address information is obtained according to the target address information in the message queue；The message team
Column include the address information of multiple videos to be processed, and the target address information is any one address information in message queue.
3. according to the method described in claim 2, it is characterized in that, the target address information according in the message queue
Obtain the corresponding target video of target address information, comprising:
According to the priority orders of address information in the message queue, by highest priority and untreated address information is determined
For target address information；
According to target video indicated by target address information acquisition target address information.
4. the method according to claim 1, wherein the key frame picture for obtaining the target video, root
The image quality information of the key frame picture is generated according to the gray scale frequency of the key frame picture, comprising:
The target video scene that the target video is obtained according to jump information obtains the key frame in the target video scene
Picture；The jump information is used to indicate location information of the target video scene in target video；
The corresponding M grayscale information of the key frame picture is obtained, distribution of the M grayscale information in multiple gray levels is counted
Amount generates the corresponding gray scale frequency of each gray level according to the abundance of each gray level；Wherein, M is key frame
The quantity of the pixel of picture；
The corresponding image of the key frame picture is obtained according to each corresponding gray scale frequency of gray level and the gray level
Quality information.
5. according to the method described in claim 4, it is characterized in that, described obtain the corresponding M gray scale of the key frame picture
Information obtains the abundance of each grayscale information, generates the corresponding gray scale frequency of each grayscale information, packet according to the abundance
It includes:
The pixel in key frame picture is extracted according to step information, the pixel is stored to pixel collection；
Count the grayscale information of all pixels point and the corresponding gray scale frequency of each grayscale information in the pixel collection.
6. according to the method described in claim 4, it is characterized in that, described meet quality requirements for described image quality information
Video thumbnails of the key frame picture as the target video, comprising:
When described image quality information is greater than quality threshold, it is determined that described image quality information meets quality requirements；
The corresponding key frame picture of described image quality information is determined as to the video thumbnails of target video.
7. according to the method described in claim 6, it is characterized by further comprising:
When described image quality information is less than or equal to quality threshold, the key frame picture said target video scene is obtained
Next video scene, next video scene of the target video scene is determined as target video scene.
8. the method according to the description of claim 7 is characterized in that described when described image quality information is less than or equal to quality
When threshold value, next video scene of the key frame picture said target video scene is obtained, by the target video scene
Next video scene be determined as target video scene, comprising:
When described image quality information is less than or equal to quality threshold, long letter when acquisition described image quality information is corresponding
Breath, described image quality information and the corresponding temporal information of described image quality information are stored to quality information set；It is described
Duration information is the consumed time for generating described image quality information；
The next video scene for obtaining the key frame picture said target video scene, will be under the target video scene
One video scene is determined as target video scene, until the sum of all duration informations are greater than duration in statistical quality information aggregate
When threshold value, maximum image quality information in the quality information set is obtained, by the corresponding pass of the maximum image quality information
Key frame picture is determined as the video thumbnails of target video.
9. a kind of data processing equipment characterized by comprising
Target video acquiring unit, for obtaining the target video for extracting video thumbnails；
Picture quality generation unit, for obtaining the key frame picture of the target video, according to the ash of the key frame picture
Degree frequency generates the image quality information of the key frame picture；
Video thumbnails determination unit, the key frame picture for described image quality information to be met to quality requirements are determined as institute
State the video thumbnails of target video.
10. a kind of computer storage medium, which is characterized in that the computer storage medium is stored with computer program, described
Computer program includes program instruction, and described program is instructed when being executed by a processor, executed such as any one of claim 1-8 institute
The method stated.
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