DocumentCode :
892601
Title :
Detecting Ads in Video Streams Using Acoustic and Visual Cues
Author :
Covell, Michele ; Baluja, Shumeet ; Fink, Michael
Volume :
39
Issue :
12
fYear :
2006
Firstpage :
135
Lastpage :
137
Abstract :
A new technique provides accurate, efficient ad detection for online TV rebroadcasts. As online television grows in popularity, providers are seeking cost-effective ways to replace original advertisements in rebroadcasts with new ads that are not only fresher but that can target individual viewers´ interests and preferences. Alternatively, completely removing commercials might be desirable for subscribers who pay for reused content. Researchers have developed various heuristic techniques to detect and remove ads in video streams. Many of these exploit common differences between advertising and program material including cut rates, soundtrack volume, and surrounding black frames
Keywords :
acoustic signal processing; advertising; digital video broadcasting; video signal processing; video streaming; acoustic cues; advertisement detection; online TV rebroadcast; video stream; visual cues; Acoustic signal detection; Audio databases; Filters; Hamming distance; Monitoring; Music information retrieval; Sampling methods; Signal processing; Streaming media; Visual databases; Entertainment computing; Invisible computing;
fLanguage :
English
Journal_Title :
Computer
Publisher :
ieee
ISSN :
0018-9162
Type :
jour
DOI :
10.1109/MC.2006.421
Filename :
4039265
Link To Document :
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