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Mining the video content itself can bring to light important information regarding the internal structure of large video databases, compensating for a lasting absence of extensive and reliable annotations. Many valuable links between video segments can be identified by content-based copy detection methods, where "copies" are transformed versions of original video sequences. To make this approach viable for large video databases, we put forward a new mining method relying on the definition of adoi:10.1145/1459359.1459368 dblp:conf/mm/PoullotCB08 fatcat:zbxi35bzibegdbe2wfitufaccu