• DocumentCode
    446770
  • Title

    Shot detection using a syntactic approach to the frame structure

  • Author

    Amato, Alberto ; Lecce, Vincenzo Di

  • Author_Institution
    Fac. of Eng., Politecnico di Bari, Taranto
  • Volume
    2
  • fYear
    2003
  • fDate
    30-30 Dec. 2003
  • Firstpage
    718
  • Abstract
    Shot boundary detection is the first task of automatic video indexing. It is well known that all subsequent processes, such as video segmentation, video skimming as presented in V. Di Lecce et al. (1999), key frame extraction and video indexing, start from accurate shot boundary detection. In the proposed paper the authors are investigating the possibility of using textual string extracted from the frame images, according to NS Chang and KS Fu (1980), for shots identification. The results are comparable with other well known methods in cutting scene but they are more promising in detection of slow change for example in tilt, dolly, and pan
  • Keywords
    video signal processing; automatic video indexing; frame extraction; frame structure; shot boundary detection; shot identification; syntactic approach; textual string; video segmentation; video skimming; Content based retrieval; Distributed computing; Fourier transforms; Frequency; Gunshot detection systems; Image analysis; Image segmentation; Indexing; Layout; Production;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 2003 IEEE 46th Midwest Symposium on
  • Conference_Location
    Cairo
  • ISSN
    1548-3746
  • Print_ISBN
    0-7803-8294-3
  • Type

    conf

  • DOI
    10.1109/MWSCAS.2003.1562387
  • Filename
    1562387