Video content comparing method based on digital signal processor

Abstract

The invention discloses a video content comparing method based on a digital signal processor. The method comprises the steps that single-channel video bitstream data and standard video bitstream data are forwarded to DSP modules according to the load balanced scheduling strategy, and the DSP modules obtain the key frame image sequence of the video data and the key frame image sequence of the standard video data; the DSP modules extract the characteristics of the key frame image sequence of the video data and the key frame image sequence of the standard video data according to the improved SIFT algorithm and the TOM algorithm to obtain the feature vector sequence of the video data and the feature vector sequence of the standard video data to determine the synchronous video data and standard video data, and if the similarity of the feature vector sequence of the video data and the feature vector sequence of the standard video data is larger than the preset similarity threshold value, the contents are identical, wherein the video data and the standard video data are synchronous. The method has the advantages that the data are processed in real time, the volume is large, the size is small, the power consumption is low and labor cost is low, and is used for solving the problems that the video processing cannot meet the requirements for real-time performance, the large volume, the small size and the low power consumption.

Description

technical field [0001] The invention relates to the technical field of video detection, in particular to a video content comparison method based on a digital signal processor. Background technique [0002] With the development of network and communication technology, video applications have been extended to various fields, and there is no technical threshold for its production and dissemination, resulting in a surge in video capacity and content flooding. At the same time, as a cultural and ideological communication medium, video malicious attacks occur frequently, and the requirements for video monitoring technology are further enhanced. Among many supervision and detection methods, video content supervision can carry out in-depth detection of videos, which is the most thorough supervision method in the field of video supervision. [0003] However, the implementation of video content regulation faces many problems, mainly for two reasons: [0004] First, the video has str...

AI Technical Summary

Problems solved by technology

It is used to solve the problem that the video content analysis equipment in the prior art cannot meet the requirements of real-time performance, large capacity, small volume and low power consumption

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