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Video key frame extraction method based on salient region

A technology of video key frame and extraction method, which is applied in the directions of instruments, computing, character and pattern recognition, etc., can solve the problem of not distinguishing the background noise of the foreground object, and achieve the effect of avoiding mutual influence and background noise interference

Active Publication Date: 2022-03-01
LIAOCHENG UNIV
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  • Abstract
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  • Claims
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Problems solved by technology

Although the effective image area is detected in this patent, it only adopts the method of progressive scanning, and does not distinguish between potential foreground objects and interfering background noise

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  • Video key frame extraction method based on salient region

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Embodiment Construction

[0029] The present invention will be further described in conjunction with the accompanying drawings and specific embodiments. It should be understood that these examples are only used to illustrate the present invention and are not intended to limit the scope of the present invention. In addition, it should be understood that after reading the content taught by the present invention, those skilled in the art may make various changes or modifications to the present invention, and these equivalent forms also fall within the scope defined in the present application.

[0030] This embodiment adopts a video key frame extraction method based on a salient region, and the specific implementation steps are as follows:

[0031] 1. Sampling conversion is performed on the video data, and the video is converted into a continuous frame image sequence.

[0032] In the video data, the total number of frames is N T , since the frame rate n f =24, so the sampling frequency n s It is also s...

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Abstract

The invention discloses a method for extracting video key frames based on saliency area in the technical field of computer image processing and pattern recognition. First, the video data is sampled and converted, and the video is converted into a continuous frame image sequence, and then each frame image is used for sampling conversion. The spectral residual model extracts the saliency regions, then sorts them according to the area of ​​the saliency regions in the image, and performs color vectorization on the saliency regions in the top ranking, and finally according to the vectorized saliency between the front and rear frame images. The similarity is measured in the region, and the video key frame is determined according to the similarity. The key frame image sequence extracted by the present invention can effectively retain the main content of the video.

Description

technical field [0001] The invention mainly relates to the technical field of computer image processing and pattern recognition, in particular to a video key frame extraction method based on a salient region. Background technique [0002] With the large-scale popularization of surveillance cameras in real life, surveillance video has been widely used, and the data volume of surveillance video has also shown an exponential growth, which poses a huge challenge to the storage, organization and query of video. In the field of security monitoring, how to effectively organize, manage and query massive videos has become a hot topic of concern and research. [0003] A video is composed of consecutive frames, one frame is an image, and each image expresses a certain segment or content in the video. Due to the temporal and spatial continuity of adjacent frames, there is a large amount of redundant information in the frame image sequence, which is not conducive to efficient classifica...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06V20/40G06V10/46G06V10/28
CPCG06V20/40G06V10/28G06V10/462
Inventor 冯德瀛张来刚赵颖楚晓华
Owner LIAOCHENG UNIV