• DocumentCode
    3310319
  • Title

    Visual video summaries post-processing using supervised and unsupervised classification

  • Author

    Ciocca, G. ; Schettini, R.

  • Author_Institution
    Dipartimento di Inf., Sistemistica e Comunicazione, Universita degli Studi di Milano, Milan, Italy
  • fYear
    2006
  • fDate
    7-11 Jan. 2006
  • Firstpage
    81
  • Lastpage
    82
  • Abstract
    Visual summaries allow users to grasp the overall content of a video, and access specific sequences within the video itself. The post-processing method presented in this paper makes it possible create exhaustive and not redundant visual video summaries. Three steps compose the method: the first removes the meaningless key frames; the second groups the key frames into clusters to allow multi-level summary presentation; and the third identifies the default summary level.
  • Keywords
    feature extraction; image classification; image sequences; video signal processing; default summary level identification; meaningless key frame removal; multilevel summary presentation; unsupervised classification; video content; visual video summaries post-processing method; Clustering algorithms; Conferences; Costs; Histograms; Image analysis; Indexing; Merging; Performance analysis; Probability; Statistics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Consumer Electronics, 2006. ICCE '06. 2006 Digest of Technical Papers. International Conference on
  • Print_ISBN
    0-7803-9459-3
  • Type

    conf

  • DOI
    10.1109/ICCE.2006.1598320
  • Filename
    1598320