• DocumentCode
    1722863
  • Title

    A novel commercial break detection and automatic annotation of TV programs for content based retrieval

  • Author

    Venkatesh, N. ; Girish Chandra, M. ; Rajeev, B.

  • Author_Institution
    Embedded Syst. Innovation Lab., Tata Consultancy Services, Bangalore, India
  • Volume
    2
  • fYear
    2010
  • Abstract
    In this paper, we present a novel approach for automatic annotation and content based video retrieval by making use of the features extracted during the process of detecting commercial boundaries in a recorded Television (TV) program. In our approach, commercial boundaries are primarily detected using audio and the detected boundaries are enhanced and validated using logo (program name) in the video domain. Detected logo (program name) at the commercial boundaries is used for automatic annotation of recorded video which helps in fast content based video retrieval. The performance and validity of our approach is demonstrated using the videos recorded from different Indian Television broadcasts.
  • Keywords
    content-based retrieval; feature extraction; television broadcasting; video retrieval; Indian television broadcasts; TV programs annotation; commercial break detection; content based video retrieval; detected logo; extracted features; recorded television program; video domain; Correlation; Databases; Feature extraction; Hidden Markov models; Pixel; Signal processing; TV; Audio visual features; Automatic annotation; Commercial detection; Content based video retrieval; Correlation classifier;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Systems (ICSPS), 2010 2nd International Conference on
  • Conference_Location
    Dalian
  • Print_ISBN
    978-1-4244-6892-8
  • Type

    conf

  • DOI
    10.1109/ICSPS.2010.5555826
  • Filename
    5555826