CN104540004A - Video screenshot method and video screenshot device - Google Patents
Video screenshot method and video screenshot device Download PDFInfo
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- CN104540004A CN104540004A CN201510041237.9A CN201510041237A CN104540004A CN 104540004 A CN104540004 A CN 104540004A CN 201510041237 A CN201510041237 A CN 201510041237A CN 104540004 A CN104540004 A CN 104540004A
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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
- H04N21/433—Content storage operation, e.g. storage operation in response to a pause request, caching operations
- H04N21/4334—Recording operations
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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
Abstract
The invention discloses a video screenshot method and a video screenshot device. The method comprises the following steps: converting video data of a video file into picture data; extracting picture data which meet preset screening conditions from the picture data; and saving the extracted picture data as pictures. Therefore, the pictures which meet the screening conditions are automatically intercepted from the video by presetting the screening conditions, the subsequent manual screening step is cancelled, and therefore, the efficiency is improved and the labor is saved. Moreover, as the pictures which meet the screening conditions are saved only, the storage space is not occupied too much, so that the storage resources are saved and the user experience is enhanced.
Description
Technical field
The present invention relates to technical field of video processing, especially relate to a kind of video interception method and apparatus.
Background technology
Existing video interception method, mainly contains two schemes.Be the video pictures being intercepted broadcasting by the mode of screenshotss, once can only intercept one, and be not easy during capturing picture to be just truncated to the picture oneself wanted, and sometimes screenshotss picture is also fuzzyyer, therefore efficiency is low, of poor quality.Another kind directly video is converted into picture by video transformation technology, if video is larger, then producing the picture number come will be quite huge, and user also hand picking will go out the picture oneself wanted from numerous picture, delete useless picture, quite take time and effort; And need enough memory spaces to preserve a large amount of pictures, waste storage resources.Therefore, existing video interception method, inefficiency, takes time and effort, and waste resource, Consumer's Experience is poor.
Summary of the invention
Main purpose of the present invention is to provide a kind of video interception method and apparatus, is intended to solve the problem, raises the efficiency, and promotes Consumer's Experience.
To achieve these objectives, the present invention proposes a kind of video interception method, comprises step:
The video data of video file is converted into image data;
The image data meeting preset screening conditions is extracted from described image data;
The image data extracted is saved as picture.
Preferably, described screening conditions comprise the combination of any one or at least two kinds in Word message, acoustic information and pictorial information.
Preferably, described screening conditions comprise Word message, and the described image data meeting preset screening conditions that extracts from described image data comprises:
When including described Word message in described image data, then judge that described image data meets described screening conditions, and extract described image data.
Preferably, described screening conditions comprise acoustic information, and the described image data meeting preset screening conditions that extracts from described image data comprises:
When including the characteristic information of described acoustic information in a video segment of described video file, then judge that all image datas that described video segment transforms all meet described screening conditions, and extract described image data.
Preferably, described screening conditions comprise pictorial information, and the described image data meeting preset screening conditions that extracts from described image data comprises:
When including the characteristic information of described pictorial information in described image data, then judge that described image data meets described screening conditions, and extract described image data.
Preferably, described the image data extracted is saved as the step of picture after also comprise:
From described picture, select the picture composition similar pictures group that similarity reaches predetermined threshold value, from described similar pictures group, select the picture of predetermined number to be retained, all the other pictures are deleted.
The present invention proposes a kind of video interception device simultaneously, comprises and arranges module, conversion module, screening module and memory module, wherein:
Module is set, for preset screening conditions;
Conversion module, for being converted into image data by the video data of video file;
Screening module, for extracting the image data meeting preset screening conditions from described image data, and saving as picture by the image data extracted, being stored in described memory module.
Preferably, described screening conditions comprise the combination of any one or at least two kinds in Word message, acoustic information and pictorial information.
Preferably, described screening conditions comprise Word message, and described screening module is used for: when including described Word message in described image data, then judge that described image data meets described screening conditions, and extract described image data.
Preferably, described screening conditions comprise acoustic information, and described screening module is used for:
When including the characteristic information of described acoustic information in a video segment of described video file, then judge that all image datas that described video segment transforms all meet described screening conditions, and selected.
Preferably, described screening conditions comprise pictorial information, and described screening module is used for:
When including the characteristic information of described pictorial information in described image data, then judge that described image data meets described screening conditions, and select described image data.
Preferably, describedly also comprise filtering module, described filtering module is used for: from described picture, select the picture composition similar pictures group that similarity reaches predetermined threshold value, from described similar pictures group, select the picture of predetermined number to be retained, all the other pictures are deleted.
A kind of video interception method provided by the present invention, by preset screening conditions, automatically intercepts out the picture meeting screening conditions, eliminates subsequent artefacts and screen step, improve efficiency, save manpower from video.And owing to only preserving the picture meeting screening conditions, therefore too many memory space can not be taken, save storage resources, improve Consumer's Experience.
Accompanying drawing explanation
Fig. 1 is the flow chart of video interception method first embodiment of the present invention;
Fig. 2 is the flow chart of video interception method second embodiment of the present invention;
Fig. 3 is the module diagram of video interception device first embodiment of the present invention;
Fig. 4 is the module diagram of video interception device second embodiment of the present invention.
The realization of the object of the invention, functional characteristics and advantage will in conjunction with the embodiments, are described further with reference to accompanying drawing.
Embodiment
Should be appreciated that specific embodiment described herein only in order to explain the present invention, be not intended to limit the present invention.
See Fig. 1, propose video interception method first embodiment of the present invention, described method comprises step:
Step S10: preset screening conditions
Described screening conditions comprise the combination of any one or at least two kinds in Word message, acoustic information and pictorial information.
When user selects screening conditions to be Word message, user can directly pass through keyboard (dummy keyboard or physical keyboard) inputting word information, device then direct using input Word message as screening conditions.User also can input voice information, and device identification speech information content is also converted into Word message, using the Word message that transforms as screening conditions.
When user selects screening conditions to be acoustic information, user needs input one section of acoustic information, described acoustic information can be a recording file (that record then and there or local storage), also can be certain section of audio files sheared from video, device then using input acoustic information as screening conditions, and extracting the characteristic information of acoustic information, this characteristic information comprises the content of sound or/and the characteristic frequency of sound.
When user selects screening conditions to be pictorial information, user needs to input the pictorial information with features such as scene, personage, personage's expressions, device then using input pictorial information as screening conditions, and the characteristic information extracted in pictorial information, this characteristic information comprises scene, place, personage, expression, face etc. in picture.
Step S11: open video file, is converted into image data by the video data of video file
From video library, select a video file, and open this video file, every one-frame video data of video file is converted into a frame image data, and gives buffer memory.Video data is converted into prior art to image data, does not repeat them here.
In certain embodiments, also first can open video file, reinitialize screening conditions, the order of the present invention to the two does not limit.
Step S12: extract the image data meeting screening conditions from the image data transformed
The image data of buffer memory and preset screening conditions are contrasted, judges whether image data meets screening conditions, then extract as met screening conditions, otherwise given up.
When screening conditions are Word message, then judge whether include Word message in image data, as long as there is this Word message in image data, then judged that this image data meets screening conditions, select this image data.Such as, the Word message of user's input is " nubia ", as long as then occur that the image data that the picture of nubia transforms all will be extracted in video.
When screening conditions are acoustic information, then the sound in video and acoustic information are compared, when including the characteristic information of acoustic information in a video segment of video file, then judge that all image datas that this video segment transforms all meet screening conditions, extract this image data.Such as, the acoustic information of user's input is the one section of thunder recorded, and compared by sound-content, then the image data having the video segment of scene of thundering to transform in video all will be extracted; When the acoustic information of user's input is someone one's voice in speech recorded, contrasted by sound characteristic frequency, as long as then occur that the image data that the video segment of this personal voice transforms all will be extracted in video.
When screening conditions are pictorial information, then image data and pictorial information are compared, when including the characteristic information of pictorial information in image data, then judge that this image data meets screening conditions, extract this image data.Such as, the characteristic information of pictorial information of user's input is for having snowy scene, as long as the image data then having the video segment of scene of snowing to transform in video all will be extracted; The characteristic information of pictorial information of user's input is the expression with smile, as long as the image data then having smile expression video fragment to transform in video all will be extracted; The characteristic information of the pictorial information of user's input is a specific face, by face recognition technology, as long as the image data having the video segment of this face to transform in video all will be extracted.
If user have input two or more in the screening conditions such as Word message, acoustic information, pictorial information simultaneously, then need to compare one by one to multiple screening conditions, if the image data that current video frame transforms matches with multiple screening conditions simultaneously, then judge that this image data meets screening conditions, as long as otherwise do not mate with any one screening conditions, then judge that this image data does not meet screening conditions.Such as, user have selected 3 kinds of screening conditions simultaneously, be respectively Word message (" nubia "), acoustic information (thunderstorm sound) and the pictorial information picture of expression (personage smile), then only have when in video simultaneously containing " nubia " captions, with thunderstorm sound and the expression having personage to smile time, its image data transformed just meets screening conditions.
Step S13: the image data extracted is saved as picture
Whether, after extracting image data, this image data can be saved as picture by device automatically, also can present to user for user's preview, allow user select to preserve.For the image data not meeting screening conditions, then given up.
Can transform frame by frame video and screen.After transforming a frame image data by one-frame video data, immediately screening coupling is carried out to this image data, then automatically saving as picture when meeting screening conditions or selected whether to preserve by user, then being given up when not meeting screening conditions.Repeat above-mentioned steps more subsequently, same operation is carried out to next frame video data.
Also can transform at image data and carry out to a certain extent, then the image data transformed is screened, extract the image data that meets screening conditions and save as picture, giving up the image data not meeting screening conditions.Can also transform and screen and synchronously carry out.
Thus the video interception method of the present embodiment, can arrange screening conditions by user, and device then automatically intercepts out the picture meeting screening conditions from video, eliminates subsequent artefacts and screens step, improve efficiency, save manpower.And owing to only preserving the picture meeting screening conditions, therefore too many memory space can not be taken, save storage resources.
See Fig. 2, propose video interception method second embodiment of the present invention, described method comprises step:
Step S20: preset screening conditions
Step S21: open video file, is converted into image data by the video data of video file
Step S22: extract the image data meeting screening conditions from the image data transformed
Step S23: the image data extracted is saved as picture
Step S20-step S23 in the present embodiment is identical with the step S10-step S13 in the first embodiment respectively, does not repeat them here.
Step S24: select the picture composition similar pictures group that similarity reaches predetermined threshold value from the picture preserved
Because some video segment is still frame, it is almost identical for then now intercepting the picture obtained, when still frame fragment is longer, then may produce a large amount of identical picture, and user only needs just to get one enough, storing identical or that similarity is high picture without the need to wasting memory space, therefore this embodiment introduces the algorithm that still picture filters, identical or that similarity is high image filtering is fallen only to get one.
Concrete, compared by the picture of preservation, composition similar pictures group elected by picture similarity being reached predetermined threshold value.If when having multiple still frame fragment in video, then can produce many group similar pictures groups.Comparison method can adopt image similarity algorithm, gives a mark, judge the close degree of picture material according to the height of mark for the similarity degree of content between two width images.The namely image retrieval of image content-based, namely to scheme inspection figure.Can be several characteristic value by image abstraction, such as Trace conversion, image Hash or Sift characteristic vector etc., then carry out coupling according to these characteristic values stored in database and return corresponding image to raise the efficiency.
Enumerate the image similarity algorithm that some are general below:
(1) Histogram Matching.Than if any image A and image B, calculate the histogram of two width images respectively, HistA, HistB, then calculate two histogrammic normalizated correlation coefficients (Pasteur's distance, histogram intersection distance) etc.This method be based on simple mathematical vector between difference carry out the tolerance of image similarity degree, be the method more widely used at present.Histogram can be good at normalization, such as common 256 bin bars, and the image that two width resolution are different directly can calculate similarity by compute histograms, more convenient, and amount of calculation.
(2) mathematical matrix decomposition.Image is a matrix inherently, and the principle of mathematically matrix decomposition can be relied on to calculate to obtain in matrix the similarity of some robust features to image representing this matrix element value and distribution.The most frequently used is generally that SVD decomposes and NMF decomposes.
(3) image similarity of distinguished point based calculates.Every piece image has oneself characteristic point, and some positions important in these characteristic point token image, are similar to the flex point of function, and usually relatively conventional have Harris angle point and Sift characteristic point.The image angle point obtained is compared, if similar angle point number is more, then judges that the similarity degree of this two width image is higher.
Step S25: select the picture of predetermined number to be retained from similar pictures group, all the other pictures are deleted
Can select from similar pictures group one the most clearly picture retained, or select the picture meeting pre-conditioned (User Defined) most to be retained, select the quantity of picture not limit, can be arranged by User Defined.When there being multiple similar pictures group, then all aforesaid operations is performed to each similar pictures group.Thus avoid picture identical in a large number to take memory space, save storage resources, also avoid picture identical too much to cause puzzlement to user.
Further, the picture that the threshold value that can also arrange image similarity transforms to filter dynamic video image, obtains to make user the picture wanted more accurately.Concrete, screening conditions again compared with the picture preserved, whether the picture only having the two similarity to reach predetermined threshold value just can retain or again present to user is selected to retain by user, and the picture being less than predetermined threshold value is then deleted.Such as, screening conditions are the face picture that user inputs, in the picture obtained after being screened by this face picture, there are many fuzzy face picture or only show the face picture of face side, then the face picture that user inputs can be compared with the face picture filtered out again, filter out the face picture of these display face sides or fuzzy face picture.
See Fig. 3, propose video interception device first embodiment of the present invention, described video interception device comprises and arranges module, conversion module, screening module and memory module.
Module is set: for preset screening conditions.Described screening conditions comprise the combination of any one or at least two kinds in Word message, acoustic information and pictorial information.
When user selects screening conditions to be Word message, user can directly pass through keyboard (dummy keyboard or physical keyboard) inputting word information, arrange module then direct using input Word message as screening conditions.User also can input voice information, arranges Module recognition speech information content and is converted into Word message, using the Word message that transforms as screening conditions.
When user selects screening conditions to be acoustic information, user needs input one section of acoustic information, described acoustic information can be a recording file (that record then and there or local storage), also can be certain section of audio files sheared from video, arrange module then using input acoustic information as screening conditions, and extracting the characteristic information of acoustic information, this characteristic information comprises the content of sound or/and the characteristic frequency of sound.
When user selects screening conditions to be pictorial information, user needs to input the pictorial information with features such as scene, personage, personage's expressions, device then using input pictorial information as screening conditions, and the characteristic information extracted in pictorial information, this characteristic information comprises scene, place, personage, expression, face etc. in picture.
Conversion module: for the video data of video file is converted into image data.
After opening video file, the every one-frame video data in video file is converted into a frame image data by conversion module, and gives buffer memory.Video data is converted into prior art to image data, does not repeat them here.
Screening module: for extracting the image data meeting preset screening conditions from image data, and the image data extracted being saved as picture, being stored in memory module.
The image data of buffer memory and preset screening conditions contrast by screening module, judge whether image data meets screening conditions.If meet screening conditions, extract, this image data is saved as picture automatically, or present to user for user's preview, allow user select whether to preserve.If the screening conditions of not meeting, then given up.
When screening conditions are Word message, screening module then judges whether include Word message in image data, as long as there is this Word message in image data, has then judged that this image data meets screening conditions, extracts this image data.Such as, the Word message of user's input is " nubia ", as long as then occur that the image data that the picture of nubia transforms all will be extracted in video.
When screening conditions are acoustic information, sound in video and acoustic information are then compared by screening module, when including the characteristic information of acoustic information in a video segment of video file, then judge that all image datas that this video segment transforms all meet screening conditions, extract this image data.Such as, the acoustic information of user's input is the one section of thunder recorded, and compared by sound-content, then the image data having the video segment of scene of thundering to transform in video all will be extracted; When the acoustic information of user's input is someone one's voice in speech recorded, contrasted by sound characteristic frequency, as long as then occur that the image data that the video segment of this personal voice transforms all will be extracted in video.
When screening conditions are pictorial information, image data and pictorial information are then compared by screening module, when including the characteristic information of pictorial information in image data, then judge that this image data meets screening conditions, extract this image data.Such as, the characteristic information of pictorial information of user's input is for having snowy scene, as long as the image data then having the video segment of scene of snowing to transform in video all will be extracted; The characteristic information of pictorial information of user's input is the expression with smile, as long as the image data then having the video segment of smiling expression to transform in video all will be extracted; The characteristic information of the pictorial information of user's input is a specific face, by face recognition technology, as long as the image data having the video segment of this face to transform in video all will be extracted.
If user have input two or more in the screening conditions such as Word message, acoustic information, pictorial information simultaneously, screening module then needs to compare one by one to multiple screening conditions, if the image data that current video frame transforms matches with multiple screening conditions simultaneously, then judge that this image data meets screening conditions, as long as otherwise do not mate with any one screening conditions, then judge that this image data does not meet screening conditions.Such as, user have selected 3 kinds of screening conditions simultaneously, be respectively Word message (" nubia "), acoustic information (thunderstorm sound) and the pictorial information picture of expression (personage smile), then only have when in video simultaneously containing " nubia " captions, with thunderstorm sound and the expression having personage to smile time, its image data transformed just meets screening conditions.
Video interception device of the present invention, can transform frame by frame video and screen, after transforming a frame image data by one-frame video data, immediately screening coupling is carried out to this image data, then automatically save as picture when meeting screening conditions or selected whether to preserve by user, then being given up when not meeting screening conditions, being repeated above-mentioned steps more subsequently, same operation is carried out to next frame video data.Also can transform at image data and carry out to a certain extent, then the image data transformed is screened, extract the image data that meets screening conditions and save as picture, giving up the image data not meeting screening conditions.
The video interception device of the present embodiment, can arrange screening conditions by user, and device then automatically intercepts out the picture meeting screening conditions from video, eliminates subsequent artefacts and screens step, improve efficiency, save manpower.And owing to only preserving the picture meeting screening conditions, therefore too many memory space can not be taken, save storage resources.
See Fig. 4, video interception device second embodiment of the present invention is proposed, the present embodiment adds a filtering module on the basis of the first embodiment, described filtering module is used for: from the picture preserved, select the picture composition similar pictures group that similarity reaches predetermined threshold value, from similar pictures group, select the picture of predetermined number to be retained, all the other pictures are deleted.
Because some video segment is still frame, it is almost identical for then now intercepting the picture obtained, when still frame fragment is longer, then may produce a large amount of identical picture, and user only needs just to get one or several sheets enough, storing identical or that similarity is high a large amount of pictures without the need to wasting memory space, therefore this embodiment introduces the algorithm that still picture filters, identical or that similarity is high image filtering being fallen and only gets one or several sheets.
Concrete, the picture of preservation is compared by filtering module, and composition similar pictures group elected by picture similarity being reached predetermined threshold value, if when having multiple still frame fragment in video, then can produce many group similar pictures groups.Comparison method can adopt image similarity algorithm, gives a mark, judge the close degree of picture material according to the height of mark for the similarity degree of content between two width images.The namely image retrieval of image content-based, namely to scheme inspection figure.Can be several characteristic value by image abstraction, such as Trace conversion, image Hash or Sift characteristic vector etc., then carry out coupling according to these characteristic values stored in database and return corresponding image to raise the efficiency.
Filtering module can select from similar pictures group one the most clearly picture retained, or select the picture meeting pre-conditioned (User Defined) most to be retained, select the quantity of picture not limit, can be arranged by User Defined.When there being multiple similar pictures group, then all aforesaid operations is performed to each similar pictures group.Thus avoid picture identical in a large number to take memory space, save storage resources, also avoid picture identical too much to cause puzzlement to user.
Further, the picture that the threshold value that user can also arrange image similarity transforms to filter dynamic video image, obtains to make user the picture wanted more accurately.Concrete, screening conditions compare with the picture preserved by filtering module again, and whether the picture only having the two similarity to reach predetermined threshold value just can retain or again present to user is selected to retain by user, and the picture being less than predetermined threshold value is then deleted.Such as, screening conditions are the face picture that user inputs, in the picture obtained after being screened by this face picture, there are many fuzzy face picture or only show the face picture of face side, then the face picture that user inputs can be compared with the face picture filtered out again, filter out the face picture of these display face sides or fuzzy face picture.
The invention provides a kind of technology of carrying out video interception with user-defined screening conditions (word, sound, picture), user's automatical from a file such as video, video recording can be realized by this technology select the picture oneself wanted and save as picture, without the need to user's hand picking, a large amount of memory space can not be taken, time saving and energy saving, improve efficiency, saved resource, improved Consumer's Experience.
It should be noted that: the video interception device that above-described embodiment provides, when carrying out video interception, is only illustrated with the division of above-mentioned each functional module, in practical application, can distribute as required and by above-mentioned functions and being completed by different functional modules.In addition, the video interception device that above-described embodiment provides and video interception embodiment of the method belong to same design, and its specific implementation process refers to embodiment of the method, and the technical characteristic in embodiment of the method is all corresponding applicable in device embodiment, repeats no more here.
One of ordinary skill in the art will appreciate that, realize the hardware that all or part of step in above-described embodiment method can control to be correlated with by program to complete, described program can be stored in a computer read/write memory medium, and described storage medium can be ROM/RAM, disk, CD etc.
Should be understood that; these are only the preferred embodiments of the present invention; can not therefore limit the scope of the claims of the present invention; every utilize specification of the present invention and accompanying drawing content to do equivalent structure or equivalent flow process conversion; or be directly or indirectly used in other relevant technical fields, be all in like manner included in scope of patent protection of the present invention.
Claims (10)
1. a video interception method, is characterized in that, comprises step:
The video data of video file is converted into image data;
The image data meeting preset screening conditions is extracted from described image data;
The image data extracted is saved as picture.
2. video interception method according to claim 1, is characterized in that, described screening conditions comprise the combination of any one or at least two kinds in Word message, acoustic information and pictorial information.
3. video interception method according to claim 1, is characterized in that, described screening conditions comprise Word message, and the described image data meeting preset screening conditions that extracts from described image data comprises:
When including described Word message in described image data, then judge that described image data meets described screening conditions, and extract described image data.
4. video interception method according to claim 1, is characterized in that, described screening conditions comprise acoustic information, and the described image data meeting preset screening conditions that extracts from described image data comprises:
When including the characteristic information of described acoustic information in a video segment of described video file, then judge that all image datas that described video segment transforms all meet described screening conditions, and extract described image data.
5. video interception method according to claim 1, is characterized in that, described screening conditions comprise pictorial information, and the described image data meeting preset screening conditions that extracts from described image data comprises:
When including the characteristic information of described pictorial information in described image data, then judge that described image data meets described screening conditions, and extract described image data.
6. the video interception method according to any one of claim 1-5, is characterized in that, described the image data extracted is saved as the step of picture after also comprise:
From described picture, select the picture composition similar pictures group that similarity reaches predetermined threshold value, from described similar pictures group, select the picture of predetermined number to be retained, all the other pictures are deleted.
7. a video interception device, is characterized in that, comprises and arranges module, conversion module, screening module and memory module, wherein:
Module is set, for preset screening conditions;
Conversion module, for being converted into image data by the video data of video file;
Screening module, for extracting the image data meeting preset screening conditions from described image data, and saving as picture by the image data extracted, being stored in described memory module.
8. video interception device according to claim 7, is characterized in that, described screening conditions comprise the combination of any one or at least two kinds in Word message, acoustic information and pictorial information.
9. video interception device according to claim 7, it is characterized in that, described screening conditions comprise Word message, described screening module is used for: when including described Word message in described image data, then judge that described image data meets described screening conditions, and extract described image data.
10. video interception device according to claim 7, is characterized in that, described screening conditions comprise acoustic information, and described screening module is used for:
When including the characteristic information of described acoustic information in a video segment of described video file, then judge that all image datas that described video segment transforms all meet described screening conditions, and selected.
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| CN106603503A (en) * | 2016-11-22 | 2017-04-26 | 腾讯科技（深圳）有限公司 | Live streaming data processing method and device |
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| CN107666621A (en) * | 2017-09-28 | 2018-02-06 | 惠州Tcl移动通信有限公司 | Mobile terminal and video pictures output intent and storage medium |
| CN107864411A (en) * | 2017-10-31 | 2018-03-30 | 广东小天才科技有限公司 | A kind of picture output method and terminal device |
| CN108985176A (en) * | 2018-06-20 | 2018-12-11 | 北京优酷科技有限公司 | image generating method and device |
| CN109389096A (en) * | 2018-10-30 | 2019-02-26 | 北京字节跳动网络技术有限公司 | Detection method and device |
| CN111010610A (en) * | 2019-12-18 | 2020-04-14 | 维沃移动通信有限公司 | Video screenshot method and electronic equipment |
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| CN111464862A (en) * | 2020-04-24 | 2020-07-28 | 张咏 | Video screenshot method based on voice recognition and image processing |
| CN112650881A (en) * | 2020-12-22 | 2021-04-13 | 深圳市子瑜杰恩科技有限公司 | Monitoring data processing method and device and storage medium |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2008128143A2 (en) * | 2007-04-13 | 2008-10-23 | Ipharro Media, Gmbh | Video detection system and methods |
| CN102222227A (en) * | 2011-04-25 | 2011-10-19 | 中国华录集团有限公司 | Video identification based system for extracting film images |
| CN102905102A (en) * | 2012-09-27 | 2013-01-30 | 安科智慧城市技术（中国）有限公司 | Screen capturing video player and screen capturing method |
| CN103902553A (en) * | 2012-12-25 | 2014-07-02 | 北大方正集团有限公司 | Method and device for comparing video |
-
2015
- 2015-01-27 CN CN201510041237.9A patent/CN104540004A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2008128143A2 (en) * | 2007-04-13 | 2008-10-23 | Ipharro Media, Gmbh | Video detection system and methods |
| CN102222227A (en) * | 2011-04-25 | 2011-10-19 | 中国华录集团有限公司 | Video identification based system for extracting film images |
| CN102905102A (en) * | 2012-09-27 | 2013-01-30 | 安科智慧城市技术（中国）有限公司 | Screen capturing video player and screen capturing method |
| CN103902553A (en) * | 2012-12-25 | 2014-07-02 | 北大方正集团有限公司 | Method and device for comparing video |
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| CN107666621A (en) * | 2017-09-28 | 2018-02-06 | 惠州Tcl移动通信有限公司 | Mobile terminal and video pictures output intent and storage medium |
| CN107864411A (en) * | 2017-10-31 | 2018-03-30 | 广东小天才科技有限公司 | A kind of picture output method and terminal device |
| CN108985176A (en) * | 2018-06-20 | 2018-12-11 | 北京优酷科技有限公司 | image generating method and device |
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