Method for retrieving Internet video based on contents

Abstract

The invention provides a method for retrieving an Internet video based on contents. The method comprises the following steps of: 1, acquiring a plurality of videos serving as a training sample set from Internet, building a video library, and extracting a blocking color histogram characteristic and a brightness characteristic of each frame in all videos in the training sample set, wherein the blocking color histogram characteristic and the brightness characteristic are used as a segmentation judging basis of a camera; 2, self-adaptively segmenting the camera for all the videos in the training sample set according to the two kinds of characteristics extracted in the step 1, and acquiring a camera segmentation list; 3, extracting key frames for all videos in the training sample set accordingto the camera segmentation list and the characteristics and acquiring the indexes of the key frames; and 4, for a video to be retrieved, performing the steps 1, 2, and 3 to acquire the key frame list, and fast positioning and retrieving by using a new soft judgment method. By the method for retrieving the Internet video based on contents, videos can be fast positioned and retrieved; and the method is high in the processing speed, the retrieval efficiency and the retrieval accuracy rate.

Description

technical field [0001] The invention relates to a method in the technical field of image processing and pattern recognition, in particular to a content-based Internet video retrieval method. Background technique [0002] Network video and audio is a new media content service industry that is rapidly developing at home and abroad. New network video and audio service providers represented by YouTube and Tudou have become the new favorites of the Internet economy. my country's network video and audio is also developing rapidly. The number of Internet audio-visual websites in Shanghai ranks among the top in the country, with users covering the whole country, and the total number of users exceeds 130 million. The influence of Internet audio-visual program dissemination is growing, and comprehensive and effective management is required to purify the domestic Internet audio-visual program dissemination environment and provide a good network atmosphere for the healthy growth of you...

AI Technical Summary

Problems solved by technology

However, for videos on the Internet, the above methods have the following disadvantages: first, there are many types of videos in the network, and some features that are effective in some training video sets may not be effective for videos in the network; second, some traditional methods The extracted key frames often have a lot of redundancy. There are many videos in the network, and too many key frames will cause a decrease in retrieval performance; The existence of frames will have a great impact on the retrieval results

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