DocumentCode :
1227328
Title :
An Intelligent Subtitle Detection Model for Locating Television Commercials
Author :
Huang, Yo-Ping ; Hsu, Liang-Wei ; Sandnes, Frode-Eika
Author_Institution :
Dept. of Comput. Sci. & Eng., Tatung Univ., Taipei
Volume :
37
Issue :
2
fYear :
2007
fDate :
4/1/2007 12:00:00 AM
Firstpage :
485
Lastpage :
492
Abstract :
A strategy for locating television (TV) commercials in TV programs is proposed. Based on the observation that most TV commercials do not have subtitles, the first stage exploits six subtitle constraints and an adaptive neurofuzzy inference system model to determine whether a frame contains a subtitle or not. The second stage involves locating the mark-in/mark-out points using a genetic algorithm. An interactive user interface allows users to efficiently identify and fine-tune the exact boundaries separating the commercials from the program content. Furthermore, erroneous boundaries are manually corrected. Experimental results show that the precision rate and recall rates exceed 90%
Keywords :
adaptive systems; fuzzy neural nets; genetic algorithms; interactive television; telecommunication computing; user interfaces; TV program; adaptive neurofuzzy inference system; genetic algorithm; intelligent subtitle detection model; interactive user interface; television commercial; Adaptive systems; Advertising; Databases; Genetic algorithms; Gunshot detection systems; Humans; Multimedia communication; TV broadcasting; User interfaces; Visual system; Adaptive neurofuzzy inference system (ANFIS); TV commercial locating; genetic algorithm (GA); subtitle detection; television (TV) commercial detection; Advertising as Topic; Algorithms; Artificial Intelligence; Commerce; Image Interpretation, Computer-Assisted; Natural Language Processing; Pattern Recognition, Automated; Television; Video Recording; Vocabulary, Controlled;
fLanguage :
English
Journal_Title :
Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on
Publisher :
ieee
ISSN :
1083-4419
Type :
jour
DOI :
10.1109/TSMCB.2006.883428
Filename :
4126288
Link To Document :
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