Method and apparatus for generating still video abstract
A video summary and video technology, applied in the computer field, can solve the problems of low video redundant frame removal, unstable quality of static video summary, and low generation efficiency of static video summary, so as to improve generation efficiency and quality, and improve stability and adaptability, and improve the effect of de-redundancy
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Embodiment 1
[0028] figure 1 The implementation flow of the method for generating a static video summary provided by Embodiment 1 of the present invention is shown. For the convenience of description, only the parts related to the embodiment of the present invention are shown, and the details are as follows:
[0029] In step S101, a video to be processed input by a user is received.
[0030] The embodiments of the present invention are applicable to platforms or smart devices capable of video processing. When a user needs to extract a static video summary of a video, the video can be used as a video to be processed and input to a platform or smart device that can currently perform video processing.
[0031] In step S102, the video to be processed is pre-sampled through a singular value decomposition algorithm to extract candidate frames of the video to be processed.
[0032] In the embodiment of the present invention, there may be quite a lot of repeated information between images of dif...
Embodiment 2
[0079] figure 2 The structure of the device for generating a static video summary provided by Embodiment 2 of the present invention is shown. For the convenience of description, only the parts related to the embodiment of the present invention are shown, including:
[0080] The video receiving module 21 is used to receive the video to be processed input by the user;
[0081] The candidate frame extracting module 22 is used for pre-sampling the video to be processed by the singular value decomposition algorithm, so as to extract the candidate frame of the video to be processed;
[0082] The histogram representation module 23 is used to generate the histograms of all candidate frames respectively according to the bag-of-words model algorithm;
[0083] The clustering operation module 24 is used to cluster all histograms through a high-density peak search algorithm based on video representation, and obtain cluster center points after clustering; and
[0084] The video summary g...
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