• DocumentCode
    2486503
  • Title

    Video caption duration extraction

  • Author

    Bai, Hongliang ; Sun, Jun ; Naoi, Satoshi ; Katsuyama, Yutaka ; Hotta, Yoshinobu ; Fujimoto, Katsuhito

  • Author_Institution
    Fujitsu Res.&Dev. Center Co. Ltd., Beijing
  • fYear
    2008
  • fDate
    8-11 Dec. 2008
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Caption detection in the video is an active research topic in recent years. In the conventional methods, one of most difficult problems is to effectively and quickly extract the durations of the different-size captions in the complex background. To solve this problem, a novel and effective method is presented to locate and track the captions in the video. The main contributions are: (1)present a multi-scale Harris-corner based method to detect the initial position of the caption (2)propose the SGF (Steady Global Feature) to determine the caption duration. Extensive experiments demonstrate the effectiveness of the proposed method.
  • Keywords
    feature extraction; video signal processing; caption detection; complex background; different-size captions; multiscale Harris-corner based method; steady global feature; video caption duration extraction; Algorithm design and analysis; Computer vision; Detection algorithms; Feature extraction; Gas detectors; Image segmentation; Laboratories; Robustness; Sampling methods; Voting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 2008. ICPR 2008. 19th International Conference on
  • Conference_Location
    Tampa, FL
  • ISSN
    1051-4651
  • Print_ISBN
    978-1-4244-2174-9
  • Electronic_ISBN
    1051-4651
  • Type

    conf

  • DOI
    10.1109/ICPR.2008.4761671
  • Filename
    4761671