• DocumentCode
    945226
  • Title

    Real-time shot change detection over online MPEG-2 video

  • Author

    Bescós, Jesís

  • Author_Institution
    Escuela Politecnica Superior, Univ. Autonoma de Madrid, Spain
  • Volume
    14
  • Issue
    4
  • fYear
    2004
  • fDate
    4/1/2004 12:00:00 AM
  • Firstpage
    475
  • Lastpage
    484
  • Abstract
    The development of technologies and standards intended to enable and organize a variety of innovative services over the infrastructure that supports digital TV requires a parallel evolution of the techniques to manage its main information media: digital video. Particularly, as TV broadcasters confront the provision of dynamic value-added content-based services over the audio-visual information that is being transmitted, they require online annotation of the received digital channels. In order to achieve it, apart from high levels of success in video temporal segmentation-a great resource-consuming task previous to most video annotation techniques-a faster than real-time performance is crucial. This paper describes a software module for video temporal segmentation which is able to detect both abrupt transitions and all types of gradual transitions in real time, with levels of recall and precision not reported up to date for such a large and varied set of video sequences.
  • Keywords
    digital video broadcasting; image segmentation; image sequences; video coding; audio-visual information; digital TV; digital video; online MPEG-2 video; real-time shot change detection; video sequences; video temporal segmentation; Digital TV; Digital audio broadcasting; Digital video broadcasting; Gunshot detection systems; Information management; Innovation management; Standards development; TV broadcasting; Technology management; Video sequences;
  • fLanguage
    English
  • Journal_Title
    Circuits and Systems for Video Technology, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1051-8215
  • Type

    jour

  • DOI
    10.1109/TCSVT.2004.825546
  • Filename
    1281821