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Content-Based Video Copy Detection

Posted on:2010-02-28Degree:MasterType:Thesis
Country:ChinaCandidate:Z M XiangFull Text:PDF
GTID:2178360278465559Subject:Communication and Information System
Abstract/Summary:PDF Full Text Request
With the popular of electronic equipment, there are hundreds of videos and video copies are created in one day. These copies affect the video search result and against the interest of copyright holder. Video Copy Detection aims to find the copies.The most popular technology in Video Copy Detection is Watermarking, and Content-based Video Copy Detection is a complementary approach to watermarking for detecting copies of media. The primary thesis of Content-based Copy Detection(CBCD) is "the media itself is the watermark", the media contains enough unique information that can be used for detecting copies. CBCD schemes measure the distance between signatures extracted from the original media and a possible copy, which contains shot boundary detection, key frames detection, video signatures extraction and distance measure.A novel content-based video copy detection method was proposed. At first, this paper improves the domain color histogram in HSV space, and detects the shot boundary with the number of domain color pixels. Then use the same way to extract the character of sequence of key frames to detect the video copies, with the image boundary signature base on Canny detector. The result show the method can detect the video copies in different resolution and different format.
Keywords/Search Tags:content-based video copy detection, shot boundary detection, keyframe, HSV, domain color histogram
PDF Full Text Request
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