• DocumentCode
    3499512
  • Title

    Vector quantization-based automatic shot boundary detection

  • Author

    Gomes, José Gabriel R C ; Carli, Marco ; Mitra, Sanjit K. ; Neri, Alessandro

  • Author_Institution
    Dept. of Electr. & Comput. Eng., California Univ., Santa Barbara, CA, USA
  • fYear
    2002
  • fDate
    9-11 Dec. 2002
  • Firstpage
    216
  • Lastpage
    219
  • Abstract
    A compact video description is required to efficiently browse a multimedia database. A possible solution is the creation of a summary by using a set of frames (key frames) representing the content of each part of the video. To this end, a novel shot boundary detection method, based on a vector quantization approach, is presented. Experimental results show the effectiveness, in terms of computational cost and performance, of the proposed system.
  • Keywords
    content-based retrieval; feature extraction; image sequences; multimedia databases; vector quantisation; video coding; automatic shot boundary detection; compact video description; computational cost; key frames; multimedia database; system performance; vector quantization; Cameras; Computational efficiency; Data engineering; Density functional theory; Gunshot detection systems; Layout; Multimedia databases; Telephony; Vector quantization; Video sequences;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia Signal Processing, 2002 IEEE Workshop on
  • Print_ISBN
    0-7803-7713-3
  • Type

    conf

  • DOI
    10.1109/MMSP.2002.1203285
  • Filename
    1203285