DocumentCode :
2481780
Title :
Invariant visual patterns for video copy detection
Author :
Wu, Xiao ; Zhang, Yongdong ; Wu, Yufeng ; Guo, Junbo ; Li, Jintao
Author_Institution :
Key Lab. of Intell. Inf. Process., Chinese Acad. of Sci., Beijing
fYear :
2008
fDate :
8-11 Dec. 2008
Firstpage :
1
Lastpage :
4
Abstract :
Large scale video copy detection task requires compact feature insensitive to various copy changes. Based on local feature trajectory behavior we discover invariant visual patterns for generating robust feature. Bag of Trajectory (BoT) technical is adopted for fast pattern matching. Our algorithm with lower cost is more robust compared to the state-of-art schemes.
Keywords :
image matching; image segmentation; video signal processing; bag of trajectory; invariant visual patterns; local feature trajectory behavior; pattern matching; video copy detection; Computer vision; Costs; Detectors; Information processing; Karhunen-Loeve transforms; Laboratories; Large-scale systems; Pattern matching; Robustness; Video sharing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 2008. ICPR 2008. 19th International Conference on
Conference_Location :
Tampa, FL
ISSN :
1051-4651
Print_ISBN :
978-1-4244-2174-9
Electronic_ISBN :
1051-4651
Type :
conf
DOI :
10.1109/ICPR.2008.4761421
Filename :
4761421
Link To Document :
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