DocumentCode :
3195396
Title :
Robust Commercial Retrieval in Video Streams
Author :
Wang, Jinqiao ; Duan, Lingyu ; Liu, Qingshan ; Lu, Hanqing ; Jin, Jesse S.
fYear :
2007
fDate :
2-5 July 2007
Firstpage :
260
Lastpage :
263
Abstract :
TV commercial video is a kind of informative medium. To fast and robustly index and retrieve commercial videos is of interest to commercial monitor, copyright protection, and commercial management, we propose a coarse-to-fine scheme to robustly retrieve commercial videos. Different from previous work using clip or key frames-based matching, our scheme has incorporated the commercial production knowledge to search the candidate commercial positions. Color and ordinal features are extracted for locating the exact commercial positions with dynamic time warping distance. Comparison experiments were carried out over TRECVID 2006 news videos and some videos from Chinese channels. Our scheme has achieved promising simulation results.
Keywords :
feature extraction; video retrieval; video streaming; TRECVID 2006 news videos; TV commercial video; coarse-to-fine scheme; color features extraction; dynamic time warping distance; ordinal features extraction; robust commercial video retrieval; video streams; Advertising; Copyright protection; Feature extraction; Information retrieval; Monitoring; Production; Robustness; Streaming media; TV; Video sharing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multimedia and Expo, 2007 IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
1-4244-1016-9
Electronic_ISBN :
1-4244-1017-7
Type :
conf
DOI :
10.1109/ICME.2007.4284636
Filename :
4284636
Link To Document :
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