CN105611413A - Method and device for adding video clip class markers - Google Patents

Method and device for adding video clip class markers Download PDF

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Publication number
CN105611413A
CN105611413A CN201510992187.2A CN201510992187A CN105611413A CN 105611413 A CN105611413 A CN 105611413A CN 201510992187 A CN201510992187 A CN 201510992187A CN 105611413 A CN105611413 A CN 105611413A
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China
Prior art keywords
video
frequency band
image
picture frame
classification mark
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Granted
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CN201510992187.2A
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Chinese (zh)
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CN105611413B (en
Inventor
陈涛
刘华一君
程源
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Beijing Xiaomi Technology Co Ltd
Xiaomi Inc
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Xiaomi Inc
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/47End-user applications
    • H04N21/472End-user interface for requesting content, additional data or services; End-user interface for interacting with content, e.g. for content reservation or setting reminders, for requesting event notification, for manipulating displayed content
    • H04N21/47217End-user interface for requesting content, additional data or services; End-user interface for interacting with content, e.g. for content reservation or setting reminders, for requesting event notification, for manipulating displayed content for controlling playback functions for recorded or on-demand content, e.g. using progress bars, mode or play-point indicators or bookmarks
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/80Generation or processing of content or additional data by content creator independently of the distribution process; Content per se
    • H04N21/83Generation or processing of protective or descriptive data associated with content; Content structuring
    • H04N21/845Structuring of content, e.g. decomposing content into time segments
    • H04N21/8456Structuring of content, e.g. decomposing content into time segments by decomposing the content in the time domain, e.g. in time segments

Abstract

The invention discloses a method and device for adding video clip class markers, belonging to the technical fieldof computer. The method comprises the following steps: in an object video, sampling image frames, thus obtaining multiple sampled image frames; determining the image class corresponding to the image feature matching with each sampled image frame according to the image features corresponding to various pre-stored image classes, thus obtaining the image class of each sampled image frame; and adding video clip class markers in the object video according to the image class of each sampled image frame. In adoption of the invention, the efficiency of adding the video clip class markers can be improved.

Description

A kind of method and apparatus that adds video-frequency band classification mark
Technical field
The disclosure is directed to field of computer technology, especially about a kind of side that adds video-frequency band classification markMethod and device.
Background technology
Along with the develop rapidly of computer technology, video camera has progressed into people's life, and people startHanker after using video camera capture video.
After video capture completes, user generally can use video editing software to open video file, then existsIn the process of displaying video at corresponding video time point interpolation video-frequency band classification mark, with what indicate in correspondenceThe type of the main contents in the time period in video pictures. Like this, carry out the operation such as video editing follow-upTime, can find fast the video-frequency band of respective type.
Realizing in process of the present disclosure, inventor finds at least to exist following problem:
User, when video is added to video-frequency band classification mark, need to spend the plenty of time play and watchComplete video, then could, for video adds video-frequency band classification mark, like this, add video-frequency band classification markEfficiency lower.
Summary of the invention
In order to overcome the problem existing in correlation technique, the disclosure provides a kind of interpolation video-frequency band classification markMethod and apparatus. Described technical scheme is as follows:
According to the first aspect of disclosure embodiment, provide a kind of method of adding video-frequency band classification mark, instituteThe method of stating comprises:
In target video, carry out picture frame sampling, obtain multiple sampled picture frames;
The characteristics of image corresponding according to pre-stored each image category, determines respectively each sampled picture frameThe corresponding image category of characteristics of image of joining, obtains the image category of described each sampled picture frame;
According to the image category of described each sampled picture frame, in described target video, add video-frequency band classOther mark.
Optionally, described in target video, carry out picture frame sampling, obtain multiple sampled picture frames, bagDraw together:
Target video is divided into multiple video-frequency bands, and each video-frequency band comprises a default frame number picture frame;
In described each video-frequency band, carry out picture frame sampling, obtain multiple sampled picture frames.
Like this, by target video segment processing can so that follow-up be that target video adds video-frequency band classification mark.
Optionally, described according to the image category of described each sampled picture frame, in described target video,Add video-frequency band classification mark, comprising:
According to the image category of described each sampled picture frame, in described target video, be respectively each and getThe video-frequency band that master drawing picture frame is corresponding, adds video-frequency band classification mark.
Optionally, described method also comprises:
If the video-frequency band classification mark of continuous multiple video-frequency bands is identical, by the video of described multiple video-frequency bandsSection classification mark is merged into a video-frequency band classification mark, wherein, merges the video-frequency band classification mark institute obtainingCorresponding video-frequency band is the total video section of described multiple video-frequency band compositions.
Like this, can reduce the demonstration that repeats of unnecessary video-frequency band classification mark.
Optionally, described method also comprises:
Obtain the scene switch speed information of described target video;
According to the scene switch speed information of pre-stored video with for the default frame number of video segmentationCorresponding relation, and the scene switch speed information of described target video, be identified for described target video and divideThe default frame number of section.
Like this, can determine according to the camera lens switching speed of video the appropriate length of each video-frequency band.
Optionally, described method also comprises:
Corresponding relation according to the form of pre-stored video with the default frame number for video segmentation, withAnd the form of described target video, be identified for the default frame number of described target video segmentation.
Like this, can determine according to the concrete form of video the appropriate length of each video-frequency band.
Optionally, described method also comprises:
In the time the selection instruction of the first video-frequency band of described target video being detected, show described the first video-frequency bandCorresponding video-frequency band classification mark.
Optionally, described method also comprises:
In the time receiving the video-frequency band search instruction of corresponding the first image category, at the video of described target videoIn section classification mark, determine the video-frequency band classification mark of corresponding described the first image category, show described definiteThe corresponding video-frequency band of video-frequency band classification mark going out.
Optionally, the described characteristics of image corresponding according to pre-stored each image category, determines respectively eachThe corresponding image category of characteristics of image of sampled picture frame coupling, obtains the figure of described each sampled picture framePicture classification, comprising:
The characteristics of image corresponding according to pre-stored each image category, determines each sampled picture frame and every kindThe matching degree of the characteristics of image of image category;
For each sampled picture frame, will exceed the image of predetermined threshold value with the matching degree of described sampled picture frameThe corresponding image category of feature, is defined as the image category of described sampled picture frame.
Like this, can determine all image category that sampled picture frame meets according to matching degree.
According to the second aspect of disclosure embodiment, provide a kind of device that adds video-frequency band classification mark, instituteStating device comprises:
Sampling module, at target video, carries out picture frame sampling, obtains multiple sampled picture frames;
Matching module, for the characteristics of image corresponding according to pre-stored each image category, determines respectively everyThe corresponding image category of characteristics of image of individual sampled picture frame coupling, obtains described each sampled picture frameImage category;
Add module, for according to the image category of described each sampled picture frame, in described target video,Add video-frequency band classification mark.
Optionally, described sampling module, comprising:
Segmentation submodule, for target video being divided into multiple video-frequency bands, each video-frequency band comprises default frame numberAn order picture frame;
Sampling submodule, in described each video-frequency band, carries out picture frame sampling, obtains multiple samplingsPicture frame.
Optionally, described interpolation module, for:
According to the image category of described each sampled picture frame, in described target video, be respectively each and getThe video-frequency band that master drawing picture frame is corresponding, adds video-frequency band classification mark.
Optionally, described device also comprises:
Merge module, if identical for the video-frequency band classification mark of continuous multiple video-frequency bands, by described manyThe video-frequency band classification mark of individual video-frequency band is merged into a video-frequency band classification mark, wherein, merges looking of obtainingThe corresponding video-frequency band of frequency range classification mark is the total video section of described multiple video-frequency band compositions.
Optionally, described device also comprises:
Acquisition module, for obtaining the scene switch speed information of described target video;
The first determination module, for according to the scene switch speed information of pre-stored video with for videoThe corresponding relation of the default frame number of segmentation, and the scene switch speed information of described target video, determineFor the default frame number of described target video segmentation.
Optionally, described device also comprises:
The second determination module, for according to the form of pre-stored video with for the default frame of video segmentationThe corresponding relation of number, and the form of described target video, be identified for the pre-of described target video segmentationIf frame number.
Optionally, described device also comprises:
The first display module, in the time the selection instruction of the first video-frequency band of described target video being detected,Show the video-frequency band classification mark that described the first video-frequency band is corresponding.
Optionally, described device also comprises:
The second display module, in the time receiving the video-frequency band search instruction of corresponding the first image category,In the video-frequency band classification mark of described target video, determine the video-frequency band classification of corresponding described the first image categoryMark, the corresponding video-frequency band of video-frequency band classification mark of determining described in demonstration.
Optionally, described matching module, for:
The characteristics of image corresponding according to pre-stored each image category, determines each sampled picture frame and every kindThe matching degree of the characteristics of image of image category;
For each sampled picture frame, will exceed the image of predetermined threshold value with the matching degree of described sampled picture frameThe corresponding image category of feature, is defined as the image category of described sampled picture frame.
According to the third aspect of disclosure embodiment, provide a kind of device that adds video-frequency band classification mark, instituteStating device comprises:
Processor;
For the memory of storage of processor executable instruction;
Wherein, described processor is configured to:
In target video, carry out picture frame sampling, obtain multiple sampled picture frames;
The characteristics of image corresponding according to pre-stored each image category, determines respectively each sampled picture frameThe corresponding image category of characteristics of image of joining, obtains the image category of described each sampled picture frame;
According to the image category of described each sampled picture frame, in described target video, add video-frequency band classOther mark.
The technical scheme that embodiment of the present disclosure provides can comprise following beneficial effect:
In disclosure embodiment, in target video, carry out picture frame sampling, obtain multiple sampled picture frames; ,The characteristics of image corresponding according to pre-stored each image category, determines respectively what each sampled picture frame matedThe corresponding image category of characteristics of image, obtains the image category of described each sampled picture frame, according to describedThe image category of each sampled picture frame, in described target video, adds video-frequency band classification mark. Like this,Terminal can automatically be added video-frequency band classification mark after picture frame is sampled, classified, and spends without userComplete video is play and watched to the expense plenty of time, thereby can improve the efficiency of adding video-frequency band classification mark.
Should be understood that, it is only exemplary and explanatory that above general description and details are hereinafter described,Can not limit the disclosure.
Brief description of the drawings
Accompanying drawing is herein merged in description and forms the part of this description, shows and meets the disclosureEmbodiment, and with description one be used from explain principle of the present disclosure. In the accompanying drawings:
Fig. 1 is according to the flow process of a kind of method of adding video-frequency band classification mark shown in an exemplary embodimentFigure;
Fig. 2 is according to a kind of schematic diagram that judges image category shown in an exemplary embodiment;
Fig. 3 is according to the schematic diagram of a kind of video-frequency band classification mark shown in an exemplary embodiment;
Fig. 4 is according to a kind of schematic diagram that merges video-frequency band classification mark shown in an exemplary embodiment;
Fig. 5 is according to the schematic diagram of a kind of display of video segments classification mark shown in an exemplary embodiment;
Fig. 6 is according to the schematic diagram of a kind of display of video segments classification mark shown in an exemplary embodiment;
Fig. 7 is according to the schematic diagram of a kind of display of video segments classification mark shown in an exemplary embodiment;
Fig. 8 is according to the structure of a kind of device that adds video-frequency band classification mark shown in an exemplary embodimentSchematic diagram;
Fig. 9 is according to the structure of a kind of device that adds video-frequency band classification mark shown in an exemplary embodimentSchematic diagram;
Figure 10 is according to the structure of a kind of device that adds video-frequency band classification mark shown in an exemplary embodimentSchematic diagram;
Figure 11 is according to the structure of a kind of device that adds video-frequency band classification mark shown in an exemplary embodimentSchematic diagram;
Figure 12 is according to the structure of a kind of device that adds video-frequency band classification mark shown in an exemplary embodimentSchematic diagram;
Figure 13 is according to the structure of a kind of device that adds video-frequency band classification mark shown in an exemplary embodimentSchematic diagram;
Figure 14 is according to the structure of a kind of device that adds video-frequency band classification mark shown in an exemplary embodimentSchematic diagram;
Figure 15 is according to the structural representation of a kind of terminal shown in an exemplary embodiment.
By above-mentioned accompanying drawing, the embodiment that the disclosure is clear and definite has been shown, will there is hereinafter more detailed description.These accompanying drawings and text description are not the scope in order to limit disclosure design by any mode, but logicalCross with reference to specific embodiment for those skilled in the art illustrate concept of the present disclosure.
Detailed description of the invention
Here will at length describe exemplary embodiment, its sample table shows in the accompanying drawings. Retouching belowState while relating to accompanying drawing, unless separately there is expression, the same numbers in different accompanying drawings represents same or analogous key element.Embodiment described in following exemplary embodiment does not represent all enforcement sides consistent with the disclosureFormula. On the contrary, they be only with as some aspects that described in detail in appended claims, of the present disclosure mutuallyThe example of the apparatus and method that cause.
Disclosure embodiment provides a kind of method of adding video-frequency band classification mark, and the method can be for endIn end, terminal can be any terminal with video capture function, and as video camera, mobile phone etc., in terminalCan be provided with processor, memory, shooting part, input block, processor can be for looking addingThe process of frequency range classification mark is processed, and memory can be for storing the number needing in following processing procedureAccording to this and the data that produce, shooting part can be for taking the picture or the image that need in following processing procedure,Input block can carry out instruction input for user in the process of adding video-frequency band classification mark, as keyboard,Touch Screen etc. In the present embodiment, take water outlet equipment as example as water purifier, carry out the detailed description of scheme,Other situation is similar with it, and the present embodiment is not repeated.
Below in conjunction with embodiment, the handling process shown in Fig. 1 is described in detail, content canAs follows:
In step 101, in target video, carry out picture frame sampling, obtain multiple sampled picture frames.
Wherein, target video can be the video of user's real-time recording, can be also looking of having recordedFrequently.
In force, when terminal obtains when a video, or user is while carrying out video record by terminal,Can sample the picture frame of video, in multiple picture frames, choose a picture frame as sample,Thereby can obtain multiple sampled picture frames, and each sampled picture frame can represent above-mentioned multiple picture frame,The content of giving tacit consent to above-mentioned multiple picture frames is basically identical with the content of corresponding sampled picture frame.
Optionally, can first video be carried out to segmentation, in every section, choose a sampled picture frame, corresponding,The processing of step 101 can be as follows: target video is divided into multiple video-frequency bands, and each video-frequency band comprises defaultA frame number picture frame, in each video-frequency band, carries out picture frame sampling, obtains multiple sampled picture frames.
In force, terminal can first be carried out segmentation to target video, and wherein each video-frequency band comprises default frameA number picture frame, and then can in each video-frequency band, carry out picture frame sampling, in a video-frequency band, selectGet a sampled picture frame, can think and choose a sampled picture in often presetting a frame number picture frameFrame, like this, can obtain multiple sampled picture frames. It is worth mentioning that, default frame number can hereinBeing default value, can be also that user arranges voluntarily according to the actual content of video.
In step 102, the characteristics of image corresponding according to pre-stored each image category, determines respectively everyThe corresponding image category of characteristics of image of individual sampled picture frame coupling, obtains the image of each sampled picture frameClassification.
In force, in terminal, the application program for video editing can be installed, the net of this application programIn network side server, can there is the picture library that stores a large amount of pictures. In picture library, technical staff can be byThe particular content of photograph and picture is classified to picture, and the picture in each classification has similar characteristics of image;For example, can be provided with " landscape ", " personage ", " automobile " etc. classification, if comprised in certain pictureThere is personage, can think that this picture belongs to " personage " class, in addition, if certain picture meets two simultaneouslyIndividual or plural characteristics of image, this picture can belong to corresponding two or more figure simultaneouslyIn picture classification. In terminal, also can store the characteristics of image of each image category, when terminal is obtaining targetAfter multiple sampled picture frames in video, can determine respectively the satisfied characteristics of image of each sampled picture frame,Thereby the corresponding image category of the characteristics of image that can determine coupling, can obtain each sampling figure afterwardsImage category under picture frame, Figure 2 shows that a certain sampled picture frame, can think that this picture belongs to" personage ", " football ", " landscape " etc. image category.
Optionally, can get by the matching degree judgement of the characteristics of image of sampled picture frame and each image categoryWhether master drawing picture frame belongs to corresponding image category, and corresponding, the processing of step 102 can be as follows: according toPre-stored characteristics of image corresponding to each image category, determines each sampled picture frame and every kind of image categoryThe matching degree of characteristics of image, for each sampled picture frame, will exceed in advance with the matching degree of sampled picture frameIf the corresponding image category of the characteristics of image of threshold value, is defined as the image category of sampled picture frame.
In force, for each sampled picture frame, terminal can be determined sampled picture frame and pre-storedThe matching degree of the characteristics of image of each image category, specifically determines that mode can be according to pixel in picture frameDefinite matching degrees such as distribution, when the matching degree of the characteristics of image of sampled picture frame and certain image category exceedes in advanceIf threshold value, the image category that can determine sampled picture frame is above-mentioned image category
In step 103, according to the image category of each sampled picture frame, in target video, interpolation is lookedFrequency range classification mark.
In force, getting after the image category of each sampled picture frame, can be in target video,To the residing moment interpolation of this sampled picture frame video-frequency band classification mark, specific to each sampled picture frame,Image category that can this sampled picture frame of mark, record simultaneously this sampled picture frame place moment and underA residing moment of sampled picture frame, and be the video-frequency band interpolation video-frequency band of above-mentioned two sampled picture interframeClassification mark.
Optionally, based on above-mentioned processing mode of video being carried out to segmentation, the processing of step 103 can be as follows:According to the image category of each sampled picture frame, in target video, be respectively each sampled picture frame correspondenceVideo-frequency band, add video-frequency band classification mark.
In force, getting after the image category of each sampled picture frame, can think sampled picture frameThe image category of all picture frames in corresponding video-frequency band is identical with sampled picture frame, and then can think thisThe image category of video-frequency band is the image category of sampled picture frame, like this, and can be according to each sampling figureThe image category of picture frame, in target video, is respectively video-frequency band corresponding to each sampled picture frame, addsVideo-frequency band classification mark, i.e. initial time and the knot of the image category of this video-frequency band of mark, and recording of video sectionThe bundle time, as shown in Figure 3.
Optionally, if the video-frequency band classification mark of continuous multiple video-frequency bands is identical, can be by the plurality ofVideo-frequency band merges, and corresponding processing can be as follows: if the video-frequency band classification mark of continuous multiple video-frequency bandsRemember identically, the video-frequency band classification mark of multiple video-frequency bands is merged into a video-frequency band classification mark, wherein,Merging the corresponding video-frequency band of video-frequency band classification mark obtaining is the total video section of multiple video-frequency band compositions.
In force, adding after video-frequency band classification mark for each video-frequency band, terminal can detect videoSection classification mark, identical if there is the video-frequency band classification mark of continuous multiple video-frequency bands, this can be connectedThe video-frequency band classification mark of continuous multiple video-frequency bands is merged into a video-frequency band classification mark, looking after mergingImage category in the video-frequency band classification mark that image category in frequency range classification mark is multiple video-frequency bands, andVideo-frequency band corresponding to video-frequency band classification mark after merging is the total video section of multiple video-frequency band compositions, specifically tableCan be now time period corresponding to video-frequency band after merging time period summation that is above-mentioned multiple video-frequency bands, as Fig. 4Shown in.
Optionally, the mode that above-mentioned default frame number is set is varied, has provided as follows two kinds of feasible establishingPut mode:
Mode one, obtains the scene switch speed information of target video; According to the scene of pre-stored videoSwitch speed information and corresponding relation for the default frame number of video segmentation, and the scene of target videoSwitch speed information, is identified for the default frame number of target video segmentation.
In force, the scene switch speed difference of different video is passable for different scene switch speedsCorresponding default frame number is set. In terminal, can store scene switch speed information and default frame numberCorresponding relation, as scene switch speed information is divided into high, medium and low three grades, respectively corresponding default frame number be 6,12,24. Like this, in the time that user wants recorded video, can before recording, select the video that is about to recordScene switch speed information, then terminal can be determined the scene switching that user selects according to above-mentioned corresponding relationThe default frame number that velocity information is corresponding, and then can carry out segmentation to the video of recording according to default frame numberSampling. Equally, for the video of having recorded, user can select according to the understanding to video contentThe scene switch speed information of this video, terminal can be determined what user selected according to above-mentioned corresponding relation afterwardsThe default frame number that scene switch speed information is corresponding, and then can be according to default frame number to the video of recordingCarry out sectional sampling. For example, it is slower that some record the scene switch speed of writing proper class video of stationary article,It is low can selecting accordingly scene switch speed information, and terminal can determine that default frame number is 24 so,And then in can Offered target video, every 24 picture frames be a video-frequency band, in 24 picture frames, chooseA sampled picture frame; And the scene switch speed of the very fast action class video of some scene changes is very fast,Can select scene switch speed information for high, terminal can determine that default frame number is 6 so, Jin ErkeTaking every 6 picture frames in Offered target video as a video-frequency band, in 6 picture frames, choose a samplingPicture frame. In addition, scene switch speed information can be detected according to the particular content of video voluntarily by terminal.
Mode two, corresponding according to the form of pre-stored video and default frame number for video segmentationRelation, and the form of target video, be identified for the default frame number of target video segmentation.
In force, the video of different-format frame number per second is not identical, and terminal can be pre-storedCorresponding relation with the form of video with the default frame number for video segmentation, like this, when needs are to targetWhen video segmentation, can first obtain the form of target video, then in above-mentioned corresponding relation, choose correspondingDefault frame number, and then can carry out sectional sampling to the video of recording according to default frame number.
Optionally, the present embodiment also provides the scheme of two kinds of different display of video segments classification marks:
Scheme one, in the time the selection instruction of the first video-frequency band of target video being detected, shows the first video-frequency bandCorresponding video-frequency band classification mark.
In force, in terminal, target video has been added after video-frequency band classification mark, user can watchThe a certain video-frequency band (the first video-frequency band) that when target video, select finger is hovered over to target video is upper, thisTime terminal the selection instruction of the first video-frequency band of target video can be detected, thereby can show the first videoThe video-frequency band classification mark that section is corresponding. Or user can recall video-frequency band and select in the time watching target videoWindow is then inputted some time points or the time period in target video in video-frequency band selection window,At this moment terminal can detect above-mentioned time point or video-frequency band (i.e. the first video-frequency band) corresponding to time periodSelection instruction, thus the video-frequency band classification mark that the first video-frequency band is corresponding can be shown, as shown in Figure 5, Figure 6.
In addition, if some video-frequency bands to there being multiple video-frequency band classification marks, can show its middle partDivide or all videos section classification mark, user can set in advance the number of display of video segments classification mark.
Scheme two: in the time receiving the video-frequency band search instruction of corresponding the first image category, at target videoIn video-frequency band classification mark, determine the video-frequency band classification mark of corresponding the first image category, demonstration is determinedThe corresponding video-frequency band of video-frequency band classification mark.
In force, in terminal, target video has been added after video-frequency band classification mark, user can watchWhen target video, recall image category selection window, then in image category selection window, input some imagesClassification (i.e. the first image category), at this moment, terminal can receive the video-frequency band of corresponding the first image category and searchSuo Zhiling, can determine the video-frequency band classification mark of the first image category in target video, Jin Erke afterwardsWith the corresponding video-frequency band of display of video segments classification mark. Display mode can be entering at target video hereinRegion corresponding to mark video-frequency band on degree bar, or initial time and the termination time of direct display of video segments,As shown in Figure 7. In addition, user can input multiple image category simultaneously, and terminal can be used differentRegion corresponding to color mark different video section classification mark.
In disclosure embodiment, in target video, carry out picture frame sampling, obtain multiple sampled picture frames; ,The characteristics of image corresponding according to pre-stored each image category, determines respectively what each sampled picture frame matedThe corresponding image category of characteristics of image, obtains the image category of described each sampled picture frame, according to describedThe image category of each sampled picture frame, in described target video, adds video-frequency band classification mark. Like this,Terminal can be picture frame being sampled to the automatic video-frequency band classification mark that adds after classification, without user effortComplete video is play and watched to plenty of time, thereby can improve the efficiency of adding video-frequency band classification mark.
Based on identical technical conceive, disclosure embodiment also provides a kind of video-frequency band classification mark of addingDevice, as shown in Figure 8, this device comprises:
Sampling module 801, at target video, carries out picture frame sampling, obtains multiple sampled picture frames;
Matching module 802, for the characteristics of image corresponding according to pre-stored each image category, determines respectivelyThe corresponding image category of characteristics of image of each sampled picture frame coupling, obtains described each sampled picture frameImage category;
Add module 803, for according to the image category of described each sampled picture frame, at described target videoIn, add video-frequency band classification mark.
Optionally, as shown in Figure 9, described sampling module 801, comprising:
Segmentation submodule 8011, for target video being divided into multiple video-frequency bands, each video-frequency band comprises defaultA frame number picture frame;
Sampling submodule 8012, in described each video-frequency band, carries out picture frame sampling, obtains multipleSampled picture frame.
Optionally, described interpolation module 803, for:
According to the image category of described each sampled picture frame, in described target video, be respectively each and getThe video-frequency band that master drawing picture frame is corresponding, adds video-frequency band classification mark.
Optionally, as shown in figure 10, described device also comprises:
Merge module 804, if identical for the video-frequency band classification mark of continuous multiple video-frequency bands, described in inciting somebody to actionThe video-frequency band classification mark of multiple video-frequency bands is merged into a video-frequency band classification mark, and wherein, merging obtainsThe corresponding video-frequency band of video-frequency band classification mark is the total video section of described multiple video-frequency band compositions.
Optionally, as shown in figure 11, described device also comprises:
Obtain mould, 805, for obtaining the scene switch speed information of described target video;
The first determination module 806, for according to the scene switch speed information of pre-stored video with for lookingThe corresponding relation of the default frame number of frequency division section, and the scene switch speed information of described target video, reallyThe fixed default frame number for described target video segmentation.
Optionally, as shown in figure 12, described device also comprises:
The second determination module 807, for default with for video segmentation according to the form of pre-stored videoThe corresponding relation of frame number, and the form of described target video, be identified for described target video segmentationDefault frame number.
Optionally, as shown in figure 13, described device also comprises:
The first display module 808, for working as the selection instruction of the first video-frequency band that described target video detectedTime, show the video-frequency band classification mark that described the first video-frequency band is corresponding.
Optionally, as shown in figure 14, described device also comprises:
Second shows mould 809, in the time receiving the video-frequency band search instruction of corresponding the first image category,In the video-frequency band classification mark of described target video, determine the video-frequency band classification of corresponding described the first image categoryMark, the corresponding video-frequency band of video-frequency band classification mark of determining described in demonstration.
Optionally, described matching module 802, for:
The characteristics of image corresponding according to pre-stored each image category, determines each sampled picture frame and every kindThe matching degree of the characteristics of image of image category;
For each sampled picture frame, will exceed the image of predetermined threshold value with the matching degree of described sampled picture frameThe corresponding image category of feature, is defined as the image category of described sampled picture frame.
About the device in above-described embodiment, wherein the concrete mode of modules executable operations is relevantIn the embodiment of the method, have been described in detail, will not elaborate explanation herein.
In disclosure embodiment, in target video, carry out picture frame sampling, obtain multiple sampled picture frames; ,The characteristics of image corresponding according to pre-stored each image category, determines respectively what each sampled picture frame matedThe corresponding image category of characteristics of image, obtains the image category of described each sampled picture frame, according to describedThe image category of each sampled picture frame, in described target video, adds video-frequency band classification mark. Like this,Terminal can be picture frame being sampled to the automatic video-frequency band classification mark that adds after classification, without user effortComplete video is play and watched to plenty of time, thereby can improve the efficiency of adding video-frequency band classification mark.
It should be noted that: the device of the interpolation video-frequency band classification mark that above-described embodiment provides is adding videoWhen section classification mark, be only illustrated with the division of above-mentioned each functional module, in practical application, canAbove-mentioned functions is distributed and completed by different functional modules as required, divide by the internal structure of terminalBecome different functional modules, to complete all or part of function described above. In addition, above-described embodimentThe device of the interpolation video-frequency band classification mark providing belongs to same with the embodiment of the method for adding video-frequency band classification markOne design, its specific implementation process refers to embodiment of the method, repeats no more here.
Embodiment tetra-
The structural representation of a kind of terminal that disclosure embodiment also illustrates. This terminal can be mobile phone etc.
With reference to Figure 15, water outlet equipment 1500 can comprise following one or more assembly: processing components 1502,Memory 1504, power supply module 1506, multimedia groupware 1508, audio-frequency assembly 1510, I/O (I/O) interface 1512, sensor cluster 1514, and communications component 1516.
Processing components 1502 is controlled the integrated operation of water outlet equipment 1500 conventionally, such as with demonstration, phone is exhaledCry data communication, the operation that camera operation and record operation are associated. Treatment element 1502 can comprise oneIndividual or multiple processors 1520 are carried out instruction, to complete all or part of step of above-mentioned method. In addition,Processing components 1502 can comprise one or more modules, is convenient between processing components 1502 and other assembliesMutual. For example, processing unit 1502 can comprise multi-media module, to facilitate multimedia groupware 1508And mutual between processing components 1502.
Memory 1504 is configured to store various types of data to be supported in the operation of water outlet equipment 1500.The example of these data comprises for any application program of operation on water outlet equipment 1500 or the finger of methodOrder, contact data, telephone book data, message, picture, video etc. Memory 1504 can be by anyThe volatibility of type or non-volatile memory device or their combination realize, as static random access memoryDevice (SRAM), Electrically Erasable Read Only Memory (EEPROM), the read-only storage of erasable programmableDevice (EPROM), programmable read only memory (PROM), read-only storage (ROM), magnetic memory,Flash memory, disk or CD.
The various assemblies that electric power assembly 1506 is water outlet equipment 1500 provide electric power. Electric power assembly 1506 canComprise power-supply management system, one or more power supplys, and other and generate, manage for audio output apparatus 1500Reason and the assembly that distributes electric power to be associated.
The output that provides that multimedia groupware 1508 is included between described water outlet equipment 1500 and user connectsThe screen of mouth. In certain embodiments, screen can comprise liquid crystal display (LCD) and touch panel (TP).If screen comprises touch panel, screen may be implemented as touch-screen, to receive the input letter from userNumber. Touch panel comprises that one or more touch sensors are with the hand on sensing touch, slip and touch panelGesture. Described touch sensor is the border of sensing touch or sliding action not only, but also detect with described inTouch or relevant duration and the pressure of slide. In certain embodiments, multimedia groupware 1508 wrapsDraw together a front-facing camera and/or post-positioned pick-up head. When water outlet equipment 1500 is in operator scheme, as taken mouldWhen formula or video mode, front-facing camera and/or post-positioned pick-up head can receive outside multi-medium data. OftenIndividual front-facing camera and post-positioned pick-up head can be fixing optical lens systems or have focal length and opticsZoom capabilities.
Audio-frequency assembly 1510 is configured to output and/or input audio signal. For example, audio-frequency assembly 1510 wrapsDraw together a microphone (MIC), when audio output apparatus 1500 is in operator scheme, as call model, recordWhen pattern and speech recognition mode, microphone is configured to receive external audio signal. The audio frequency letter receivingNumber can be further stored in memory 1504 or be sent via communications component 1516.
I/O interface 1512 is for providing interface between processing components 1502 and peripheral interface module, and above-mentioned periphery connectsMouth module can be keyboard, some striking wheel, button etc. These buttons can include but not limited to: home button,Volume button, start button and locking press button.
Sensor cluster 1514 comprises one or more sensors, is used to water outlet equipment 1500 that each is providedThe state estimation of aspect. For example, sensor cluster 1514 can detect the ON/OFF of beating of water outlet equipment 1500Close state, the relative positioning of assembly, for example described assembly is display and the keypad of water outlet equipment 1500,The position that sensor cluster 1514 can also detect wetting system 1500 or 1500 assemblies of water outlet equipment changesBecome, the existence that user contacts with water outlet equipment 1500 or do not exist, water outlet equipment 1500 orientation or acceleration/subtractThe variations in temperature of speed and water outlet equipment 1500. Sensor cluster 1514 can comprise proximity transducer, is joinedPut for without any physical contact time detect near the existence of object. Sensor cluster 1514 is all rightComprise optical sensor, as CMOS or ccd image sensor, for using in imaging applications. At someIn embodiment, this sensor cluster 1514 can also comprise acceleration transducer, gyro sensor, and magnetic passesSensor, pressure sensor or temperature sensor.
Communications component 1516 is configured to be convenient to wired or wireless side between water outlet equipment 1500 and other equipmentThe communication of formula. Water outlet equipment 1500 can access the wireless network based on communication standard, as WiFi, 2G or3G, or their combination. In one exemplary embodiment, communication component 1516 receives via broadcast channelFrom broadcast singal or the broadcast related information of external broadcasting management system. In one exemplary embodiment,Described communication component 1516 also comprises near-field communication (NFC) module, to promote junction service. For example, existNFC module can be based on RF identification (RFID) technology, Infrared Data Association (IrDA) technology, ultra broadband(UWB) technology, bluetooth (BT) technology and other technologies realize.
In the exemplary embodiment, water outlet equipment 1500 can be by one or more application specific integrated circuits(ASIC), digital signal processor (DSP), digital signal processing appts (DSPD), FPGADevice (PLD), field programmable gate array (FPGA), controller, microcontroller, microprocessor or itsHe realizes by electronic component, for carrying out said method.
In the exemplary embodiment, also provide a kind of non-provisional computer-readable storage medium that comprises instructionMatter, for example, comprise the memory 1504 of instruction, and above-mentioned instruction can be by the processor of water outlet equipment 1,500 1520Carry out to complete said method. For example, described non-provisional computer-readable recording medium can be ROM,Random access memory (RAM), CD-ROM, tape, floppy disk and optical data storage equipment etc.
A kind of non-provisional computer-readable recording medium, when the instruction in described storage medium is by water outlet equipmentProcessor carry out time, make water outlet equipment can carry out a kind of method of adding video-frequency band classification mark, shouldMethod comprises:
In target video, carry out picture frame sampling, obtain multiple sampled picture frames;
The characteristics of image corresponding according to pre-stored each image category, determines respectively each sampled picture frameThe corresponding image category of characteristics of image of joining, obtains the image category of described each sampled picture frame;
According to the image category of described each sampled picture frame, in described target video, add video-frequency band classOther mark.
Optionally, described in target video, carry out picture frame sampling, obtain multiple sampled picture frames, bagDraw together:
Target video is divided into multiple video-frequency bands, and each video-frequency band comprises a default frame number picture frame;
In described each video-frequency band, carry out picture frame sampling, obtain multiple sampled picture frames.
Optionally, described according to the image category of described each sampled picture frame, in described target video,Add video-frequency band classification mark, comprising:
According to the image category of described each sampled picture frame, in described target video, be respectively each and getThe video-frequency band that master drawing picture frame is corresponding, adds video-frequency band classification mark.
Optionally, described method also comprises:
If the video-frequency band classification mark of continuous multiple video-frequency bands is identical, by the video of described multiple video-frequency bandsSection classification mark is merged into a video-frequency band classification mark, wherein, merges the video-frequency band classification mark institute obtainingCorresponding video-frequency band is the total video section of described multiple video-frequency band compositions.
Optionally, described method also comprises:
Obtain the scene switch speed information of described target video;
According to the scene switch speed information of pre-stored video with for the default frame number of video segmentationCorresponding relation, and the scene switch speed information of described target video, be identified for described target video and divideThe default frame number of section.
Optionally, described method also comprises:
Corresponding relation according to the form of pre-stored video with the default frame number for video segmentation, withAnd the form of described target video, be identified for the default frame number of described target video segmentation.
Optionally, described method also comprises:
In the time the selection instruction of the first video-frequency band of described target video being detected, show described the first video-frequency bandCorresponding video-frequency band classification mark.
Optionally, described method also comprises:
In the time receiving the video-frequency band search instruction of corresponding the first image category, at the video of described target videoIn section classification mark, determine the video-frequency band classification mark of corresponding described the first image category, show described definiteThe corresponding video-frequency band of video-frequency band classification mark going out.
Optionally, the described characteristics of image corresponding according to pre-stored each image category, determines respectively eachThe corresponding image category of characteristics of image of sampled picture frame coupling, obtains the figure of described each sampled picture framePicture classification, comprising:
The characteristics of image corresponding according to pre-stored each image category, determines each sampled picture frame and every kindThe matching degree of the characteristics of image of image category;
For each sampled picture frame, will exceed the image of predetermined threshold value with the matching degree of described sampled picture frameThe corresponding image category of feature, is defined as the image category of described sampled picture frame.
In disclosure embodiment, in target video, carry out picture frame sampling, obtain multiple sampled picture frames; ,The characteristics of image corresponding according to pre-stored each image category, determines respectively what each sampled picture frame matedThe corresponding image category of characteristics of image, obtains the image category of described each sampled picture frame, according to describedThe image category of each sampled picture frame, in described target video, adds video-frequency band classification mark. Like this,Terminal can be picture frame being sampled to the automatic video-frequency band classification mark that adds after classification, without user effortComplete video is play and watched to plenty of time, thereby can improve the efficiency of adding video-frequency band classification mark.
Those skilled in the art, considering description and putting into practice after disclosed herein disclosing, will easily expect these public affairsOther embodiment of opening. The application is intended to contain any modification of the present disclosure, purposes or adaptations,These modification, purposes or adaptations are followed general principle of the present disclosure and are comprised that the disclosure is unexposedCommon practise in the art or conventional techniques means. Description and embodiment are only regarded as exemplary, true scope of the present disclosure and spirit are pointed out by claim below.
Should be understood that, the disclosure is not limited to accurate knot described above and illustrated in the accompanying drawingsStructure, and can carry out various amendments and change not departing from its scope. The scope of the present disclosure is only by appendedClaim limits.

Claims (19)

1. a method of adding video-frequency band classification mark, is characterized in that, described method comprises:
In target video, carry out picture frame sampling, obtain multiple sampled picture frames;
The characteristics of image corresponding according to pre-stored each image category, determines respectively each sampled picture frameThe corresponding image category of characteristics of image of joining, obtains the image category of described each sampled picture frame;
According to the image category of described each sampled picture frame, in described target video, add video-frequency band classOther mark.
2. method according to claim 1, is characterized in that, described in target video, carries out figurePicture frame sampling, obtains multiple sampled picture frames, comprising:
Target video is divided into multiple video-frequency bands, and each video-frequency band comprises a default frame number picture frame;
In described each video-frequency band, carry out picture frame sampling, obtain multiple sampled picture frames.
3. method according to claim 2, is characterized in that, described according to described each sampled pictureThe image category of frame, in described target video, adds video-frequency band classification mark, comprising:
According to the image category of described each sampled picture frame, in described target video, be respectively each and getThe video-frequency band that master drawing picture frame is corresponding, adds video-frequency band classification mark.
4. method according to claim 3, is characterized in that, described method also comprises:
If the video-frequency band classification mark of continuous multiple video-frequency bands is identical, by the video of described multiple video-frequency bandsSection classification mark is merged into a video-frequency band classification mark, wherein, merges the video-frequency band classification mark institute obtainingCorresponding video-frequency band is the total video section of described multiple video-frequency band compositions.
5. method according to claim 2, is characterized in that, described method also comprises:
Obtain the scene switch speed information of described target video;
According to the scene switch speed information of pre-stored video with for the default frame number of video segmentationCorresponding relation, and the scene switch speed information of described target video, be identified for described target video and divideThe default frame number of section.
6. method according to claim 2, is characterized in that, described method also comprises:
Corresponding relation according to the form of pre-stored video with the default frame number for video segmentation, withAnd the form of described target video, be identified for the default frame number of described target video segmentation.
7. method according to claim 1, is characterized in that, described method also comprises:
In the time the selection instruction of the first video-frequency band of described target video being detected, show described the first video-frequency bandCorresponding video-frequency band classification mark.
8. method according to claim 1, is characterized in that, described method also comprises:
In the time receiving the video-frequency band search instruction of corresponding the first image category, at the video of described target videoIn section classification mark, determine the video-frequency band classification mark of corresponding described the first image category, show described definiteThe corresponding video-frequency band of video-frequency band classification mark going out.
9. method according to claim 1, is characterized in that, described according to pre-stored each imageThe characteristics of image that classification is corresponding, determines respectively the corresponding image of characteristics of image that each sampled picture frame matesClassification, obtains the image category of described each sampled picture frame, comprising:
The characteristics of image corresponding according to pre-stored each image category, determines each sampled picture frame and every kindThe matching degree of the characteristics of image of image category;
For each sampled picture frame, will exceed the image of predetermined threshold value with the matching degree of described sampled picture frameThe corresponding image category of feature, is defined as the image category of described sampled picture frame.
10. a device that adds video-frequency band classification mark, is characterized in that, described device comprises:
Sampling module, at target video, carries out picture frame sampling, obtains multiple sampled picture frames;
Matching module, for the characteristics of image corresponding according to pre-stored each image category, determines respectively everyThe corresponding image category of characteristics of image of individual sampled picture frame coupling, obtains described each sampled picture frameImage category;
Add module, for according to the image category of described each sampled picture frame, in described target video,Add video-frequency band classification mark.
11. devices according to claim 10, is characterized in that, described sampling module, comprising:
Segmentation submodule, for target video being divided into multiple video-frequency bands, each video-frequency band comprises default frame numberAn order picture frame;
Sampling submodule, in described each video-frequency band, carries out picture frame sampling, obtains multiple samplingsPicture frame.
12. devices according to claim 11, is characterized in that, described interpolation module, for:
According to the image category of described each sampled picture frame, in described target video, be respectively each and getThe video-frequency band that master drawing picture frame is corresponding, adds video-frequency band classification mark.
13. devices according to claim 12, is characterized in that, described device also comprises:
Merge module, if identical for the video-frequency band classification mark of continuous multiple video-frequency bands, by described manyThe video-frequency band classification mark of individual video-frequency band is merged into a video-frequency band classification mark, wherein, merges looking of obtainingThe corresponding video-frequency band of frequency range classification mark is the total video section of described multiple video-frequency band compositions.
14. devices according to claim 11, is characterized in that, described device also comprises:
Acquisition module, for obtaining the scene switch speed information of described target video;
The first determination module, for according to the scene switch speed information of pre-stored video with for videoThe corresponding relation of the default frame number of segmentation, and the scene switch speed information of described target video, determineFor the default frame number of described target video segmentation.
15. devices according to claim 11, is characterized in that, described device also comprises:
The second determination module, for according to the form of pre-stored video with for the default frame of video segmentationThe corresponding relation of number, and the form of described target video, be identified for the pre-of described target video segmentationIf frame number.
16. devices according to claim 10, is characterized in that, described device also comprises:
The first display module, in the time the selection instruction of the first video-frequency band of described target video being detected,Show the video-frequency band classification mark that described the first video-frequency band is corresponding.
17. devices according to claim 10, is characterized in that, described device also comprises:
The second display module, in the time receiving the video-frequency band search instruction of corresponding the first image category,In the video-frequency band classification mark of described target video, determine the video-frequency band classification of corresponding described the first image categoryMark, the corresponding video-frequency band of video-frequency band classification mark of determining described in demonstration.
18. devices according to claim 10, is characterized in that, described matching module, for:
The characteristics of image corresponding according to pre-stored each image category, determines each sampled picture frame and every kindThe matching degree of the characteristics of image of image category;
For each sampled picture frame, will exceed the image of predetermined threshold value with the matching degree of described sampled picture frameThe corresponding image category of feature, is defined as the image category of described sampled picture frame.
19. 1 kinds are added the device of video-frequency band classification mark, it is characterized in that, comprising:
Processor;
For the memory of storage of processor executable instruction;
Wherein, described processor is configured to:
In target video, carry out picture frame sampling, obtain multiple sampled picture frames;
The characteristics of image corresponding according to pre-stored each image category, determines respectively each sampled picture frameThe corresponding image category of characteristics of image of joining, obtains the image category of described each sampled picture frame;
According to the image category of described each sampled picture frame, in described target video, add video-frequency band classOther mark.
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