• DocumentCode
    2107536
  • Title

    TV Commercial Detection Based on Shot Change and Text Extraction

  • Author

    Meng, Li ; Yong Cai ; Wang, Min ; Li, Yuanxing

  • Author_Institution
    Automobile Transp. Command Dept., Acad. of Mil. Transp., Tianjin, China
  • fYear
    2009
  • fDate
    17-19 Oct. 2009
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    A new algorithm is proposed for TV commercial detection from color video in this paper. High shot change frequency and "still" shots of the trademark information, which are two basic characteristics of TV commercial, are exploited to distinguish commercials from general programs. Our commercial retrieval system based on shot change and text detection is realized through a slide window. First, histogram difference is computed on consecutive images and then the four common shot transitions including cut, dissolve, fade in/out and wipe are detected. Our text detection algorithm based on maximum gradient difference, allows fast filtering of scan lines without text. A commercial is determined either if its shot change frequency is satisfied or if its trademark information is detected. Performance evaluation shows that our algorithm performs well with relatively high detection accuracy for different kinds of programs when we involved the text detection, which is an important contribution of this paper.
  • Keywords
    image colour analysis; information retrieval; television; text analysis; video signal processing; TV commercial detection; color video; commercial retrieval system; maximum gradient difference; shot change frequency; text detection; text extraction; Change detection algorithms; Data mining; Detection algorithms; Filtering; Frequency; Gunshot detection systems; Histograms; Performance evaluation; TV; Trademarks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image and Signal Processing, 2009. CISP '09. 2nd International Congress on
  • Conference_Location
    Tianjin
  • Print_ISBN
    978-1-4244-4129-7
  • Electronic_ISBN
    978-1-4244-4131-0
  • Type

    conf

  • DOI
    10.1109/CISP.2009.5302320
  • Filename
    5302320