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Video abstract extraction method, video abstract extraction system, video abstract extraction device and storage medium

A technology of video abstraction and extraction method, applied in the field of video processing, can solve the problems of complex algorithm, large time consumption, poor effect, etc., and achieve the effect of shortening computing time, reducing time consumption, and reducing computing time.

Inactive Publication Date: 2019-10-25
WUYI UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the traditional video summary extraction has the problems of high time consumption, complex algorithm and poor effect, which needs to be improved urgently.

Method used

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  • Video abstract extraction method, video abstract extraction system, video abstract extraction device and storage medium
  • Video abstract extraction method, video abstract extraction system, video abstract extraction device and storage medium
  • Video abstract extraction method, video abstract extraction system, video abstract extraction device and storage medium

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Embodiment Construction

[0042] This part will describe the specific embodiment of the present invention in detail, and the preferred embodiment of the present invention is shown in the accompanying drawings. Each technical feature and overall technical solution of the invention, but it should not be understood as a limitation on the protection scope of the present invention.

[0043] In the description of the present invention, it should be understood that the orientation descriptions, such as up, down, front, back, left, right, etc. indicated orientations or positional relationships are based on the orientations or positional relationships shown in the drawings, and are only In order to facilitate the description of the present invention and simplify the description, it does not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and thus should not be construed as limiting the present invention.

[0044] I...

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PUM

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Abstract

The invention discloses a video abstract extraction method, a video abstract extraction system, a video abstract extraction device and a storage medium. Different frame image feature extraction algorithms are sequentially used for hierarchical clustering from small to large according to time consumption, frame images needing to be processed are reduced layer by layer, finally, global features areextracted from candidate video abstracts proposed for each obtained segmented video clip, and a final video abstract is generated. Compared with an existing method, the method does not need to consider different feature weight problems, time consumption is greatly reduced, and the method has the advantages of being good in robustness, high in speed and good in effect.

Description

technical field [0001] The present invention relates to the technical field of video processing, in particular to a method for extracting video summaries based on multi-feature similarity and its system, device and storage medium. Background technique [0002] At present, with the emergence of many video apps and simple video editing tools, a large number of videos uploaded by users have begun to appear in large numbers. Under normal circumstances, the time people spend watching videos is consistent with the video duration. This leads to a problem. On today's websites or software with a large number of videos, how can users quickly and accurately find the part they are interested in through the correct video summary and how to quickly classify the videos uploaded by users and classify them correctly? Under different indexes, it becomes a valuable research problem. The rapid increase in the number has provided the enthusiasm for research, and it has also made video classific...

Claims

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Application Information

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IPC IPC(8): H04N21/8549G06K9/46G06K9/62
CPCH04N21/8549G06V10/56G06F18/23
Inventor 罗兵周巨黄月琴
Owner WUYI UNIV
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