Video key frame abstract extraction method based on neighbor maintenance and reconfiguration

A video key frame and neighbor keeping technology, which is applied in special data processing applications, instruments, electrical digital data processing, etc., can solve problems such as inability to effectively extract key frame summaries, and inability to reflect the local aggregation of video frames

Inactive Publication Date: 2015-06-03
ZHEJIANG UNIV
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  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, linear reconstruction cannot reflect this temporal structure and the local aggregation of video frames, so directly applying linear reconstruction to video summarization cannot effectively extract high-quality key frame summaries

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  • Video key frame abstract extraction method based on neighbor maintenance and reconfiguration
  • Video key frame abstract extraction method based on neighbor maintenance and reconfiguration
  • Video key frame abstract extraction method based on neighbor maintenance and reconfiguration

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Embodiment Construction

[0037] With reference to accompanying drawing, further illustrate the present invention:

[0038] A video key frame summary extraction method based on neighbor-preserving reconstruction, the specific steps include:

[0039] 1) Obtain the video from the video database as the target video of the key frame summary to be extracted;

[0040] 2) For each target video, extract each frame picture in the video as an alternative picture library for the key frame summary of the video;

[0041] 3) Obtain the global features and local features of each frame picture in the candidate picture library, and express each frame picture as a vector;

[0042] 4) Calculate the similarity between the frame pictures, and obtain the neighbor relationship between the frame pictures;

[0043] 5) Using the neighbor-preserving reconstruction algorithm, select the optimal key frame picture that not only contains the main content of the video but also has the minimum redundant information from the candidat...

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Abstract

The invention provides a video key frame abstract extraction method based on neighbor maintenance and reconfiguration. The video key frame abstract extraction method comprises the following steps: obtaining a video from a video database, and taking the video as a target video of a key frame abstract to be extracted; aiming at each target video, extracting each frame picture in the video to be used as an alternative picture library of the video key frame abstract; obtain global characteristics and partial characteristics of each frame picture from the alternative picture library, and representing each frame picture as one vector; calculating the similarity between the frame pictures to obtain a neighbor relation between the frame pictures; selecting an optical key frame picture which comprises main content of the video and has the smallest redundant information from the alternative picture library by adopting a neighbor maintenance and reconfiguration algorithm; and extracting the selected key frame picture to form an abstract of the target video.

Description

technical field [0001] The invention relates to the technical field of video key frame summary extraction methods, in particular to video key frame summary extraction methods based on neighbor reconstruction. Background technique [0002] With the popularization of digital cameras and video cameras in daily life, people are always submerged in thousands of video data on the World Wide Web. In order to help users manage and browse these huge amount of videos, researchers compress the entire segment of video data into video summaries by defining the most important and appropriate content. A simple yet effective method for content-based video summarization is video summarization based on keyframe extraction, which provides suitable abstract summarization for applications such as video indexing, video browsing, and video retrieval. Each video key frame is a static picture that can represent the silent content of the video, so it can be analyzed and utilized by other picture pro...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04N21/8549G06F17/30
CPCH04N21/8549G06F16/739
Inventor 陈纯何占盈卜佳俊高珊
Owner ZHEJIANG UNIV
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