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Fast robust approximately same video detection and exclusion method

A video and robust technology, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve problems such as high computational complexity and complex matching methods, achieve high-efficiency processing speed, reduce computational complexity, and avoid computational burden Effect

Active Publication Date: 2010-11-03
TSINGHUA UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, these methods are not too computationally expensive to generate features, and the matching method is too complicated

Method used

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Embodiment Construction

[0017] A fast and robust near-identical video detection and exclusion method proposed by the present invention is described in detail in conjunction with the embodiments as follows:

[0018] A fast and robust near-identical video detection and exclusion method proposed by the present invention includes extracting the key frame features of the video to be detected, the video feature generation stage of the generated video global features, and comparing the global feature vector of the video to be detected with the existing There is a global feature vector of video to complete the pattern matching stage of the detection of nearly the same video, the video feature generation stage includes key frame image segmentation, extracting the average gray level of each block as key frame feature, and using the principal component analysis method ( PCA) performs binary quantization on the key frame features, and generates global features based on the quantized key frame features.

[0019] ...

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Abstract

The invention relates to a method for quickly detecting and eliminating similar or identical videos of fast robust, which belongs to the technical field of information mining. The method comprises the followings stages: an extraction stage for the characteristics of key frame of the video to be detected; video characteristics generation stage of generated video global characteristics and a pattern matching stage capable of completing detection for similar or identical videos by comparing the global characteristic vector of the video to be detected with the global characteristic vector of the existing video, wherein, the video characteristics generation stage comprises the following steps: partitioning images of the key frame; extracting the average gray of each block, so as to serve as key frame characteristic; performing binaryzation quantification on the key frame characteristic by utilizing principal component analysis method; and generating global characteristic on the basis of the quantified key frame. The invention is used for detecting and eliminating the similar or identical videos in a large scale network video database, and has the advantages of higher speed and ideal result.

Description

technical field [0001] The invention belongs to the technical field of information mining, and relates to a method for detecting and eliminating nearly identical videos in a large-scale network video database. Background technique [0002] In recent years, with the development of Internet technology, especially the rapid growth of bandwidth accessible to ordinary users, more and more video-based multimedia applications have become Internet hotspots. They have excellent interactive characteristics in information retrieval and digital entertainment, which greatly enrich people's Internet experience. Nowadays, people can easily obtain a large amount of video information from the Internet. While the content of online video has become rich and colorful, there is also a large amount of redundant information, especially the repeated uploading of popular videos. Many online videos contain basic content. Consistent, but due to differences in encoding rate, encoding quality, color tr...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/30
Inventor 孙立峰徐辉刘璐杨士强
Owner TSINGHUA UNIV