DocumentCode :
3547437
Title :
TV commercial detection in news program videos
Author :
Yeh, Jen-Hao ; Chen, Jun-Cheng ; Kuo, Jin-Hau ; WU, JA-LING
Author_Institution :
Dept. of Comput. Sci. & Inf. Eng., Nat. Taiwan Univ., Taipei, Taiwan
fYear :
2005
fDate :
23-26 May 2005
Firstpage :
4594
Abstract :
Detection of the commercials in TV videos is hard because the diversity of them puts up a rather high barrier to finding an appropriate model. After some studies of existing commercial detection works, we try to deal with this problem through a top-down approach. We select some commercial features by conjecturing the thoughts of both commercial producers and the audiences. By combining the commercial features with a video scene detection mechanism, a two-level commercial detection scheme is proposed. Experiments show the good results of the proposed scheme in detecting commercials in news program videos.
Keywords :
advertising; digital video broadcasting; feature extraction; video coding; TV commercial detection; commercial features; news program videos; top-down approach; video scene detection mechanism; Computer science; Detectors; Digital TV; Digital recording; Digital video broadcasting; Disk recording; Diversity reception; Gunshot detection systems; Layout; Video recording;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems, 2005. ISCAS 2005. IEEE International Symposium on
Print_ISBN :
0-7803-8834-8
Type :
conf
DOI :
10.1109/ISCAS.2005.1465655
Filename :
1465655
Link To Document :
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