NDLI: Searching for repeated video sequences

Content Provider	ACM Digital Library
Author	Can, Tolga Duygulu, Pinar
Abstract	In this paper, we propose a new method to search different instances of a video sequence inside a long video and/or video collection. The proposed method is robust to view point and illumination changes which may occur since the sequences are captured in different times with different cameras, and to the differences in the order and the number of frames in the sequences which may occur due to editing. The algorithm does not require any query to be given for searching, and finds all repeating video sequences inside a long video in a fully automatic way. First, the frames in a video are ranked according to their similarity on the distribution of salient points and colour values. Then, a tree based approach is used to seek for the repetitions of a video sequence if there is any. Results are provided on a full length feature movie, Run Lola Run and on commercials of TRECVID 2004 news video corpus.
Starting Page	207
Ending Page	216
Page Count	10
File Format	PDF
ISBN	9781595937780
DOI	10.1145/1290082.1290112
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2007-09-24
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Bag-of-features Copy detection Tree approach Keyframe extraction Story and media tracking
Content Type	Text
Resource Type	Article

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Searching for repeated video sequences