title: An intelligent subtitle detection model for locating television commercials.
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%.
authors.forename: Yo-Ping
authors.initials: YP
authors.lastname: Huang
authors.forename: Liang-Wei
authors.initials: LW
authors.lastname: Hsu
authors.forename: Frode-Eika
authors.initials: FE
authors.lastname: Sandnes
mesh_terms: D000329:Advertising; D000465:Algorithms; D001185:Artificial Intelligence; D003132:Commerce; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D009323:Natural Language Processing; D010363:Pattern Recognition, Automated / Q000379:methods*; D013690:Television; D014741:Video Recording / Q000379:methods*; D018875:Vocabulary, Controlled