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- W2132420828 abstract "A video copy detection system is an emerging research area that has received a considerable amount of attention in recent years. The main goal of content based video copy detection system is to find whether a query video is copied from video in a video database or not. This paper uses strengths of TIRIDCT algorithm, content based features for finger-print generation of a particular video, and two fast search methods for efficient match of finger-prints within a large database. The contribution of this paper include, extracting compact content-based signatures from TIRI image constructed from the video. To detect query video is pirated video or not, the finger-prints of all the videos in the database are extracted and stored in advance. The search algorithm searches the stored fingerprints to find close enough matches for the finger-prints of the query video. The proposed system can be used for video indexing and copyright applications." @default.
- W2132420828 created "2016-06-24" @default.
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- W2132420828 date "2012-04-22" @default.
- W2132420828 modified "2023-09-26" @default.
- W2132420828 title "Efficient and Scalable Content- based Video Copy Detection System" @default.
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