Paper Info
Title
Searching for repeated video sequences
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.
Year
DOI
Venue
2007
10.1145/1290082.1290112
Multimedia Information Retrieval
Keywords
Field
DocType
long video,news video corpus,repeated video sequence,new method,video collection,different camera,different time,run lola run,repeating video sequence,different instance,video sequence
Computer vision,Block-matching algorithm,Ranking,Pattern recognition,TRECVID,Computer science,Motion compensation,Video tracking,Artificial intelligence,Smacker video,Video compression picture types,Salient
Conference
Citations 
PageRank 
References 
6
0.57
16
Authors
2
Name
Order
Citations
PageRank
Tolga Can126816.39
Pinar Duygulu Sahin22158200.38