• DocumentCode
    2958569
  • Title

    Video Break Detection based on Similarity Analysis and Temporal Statistical Characteristics

  • Author

    Huang, Jianjun

  • Author_Institution
    Sch. of Math. & Comput. Sci., Fuzhou Univ., Fujian
  • fYear
    2006
  • fDate
    9-12 July 2006
  • Firstpage
    1821
  • Lastpage
    1824
  • Abstract
    Video shot boundary detection is a fundamental task in any kind of video content manipulation and retrieval. The area of shot boundary detection has been extensively studied, but achieving highly accurate detection results remains a challenge. In this paper, we present a novel algorithm for video cut detection. The algorithm is implemented and evaluated on the TRECVID benchmark platform. The experimental results show the effectiveness of the proposed approach. The algorithm provides a clue to the gradual transition detection
  • Keywords
    benchmark testing; object detection; statistical analysis; video retrieval; video signal processing; TRECVID benchmark; shot boundary detection; similarity analysis; temporal statistical characteristic; video break detection; video content manipulation; video retrieval; Computer science; Content based retrieval; Detection algorithms; Filtering; Gunshot detection systems; Histograms; Intelligent systems; Laboratories; Mathematics; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia and Expo, 2006 IEEE International Conference on
  • Conference_Location
    Toronto, Ont.
  • Print_ISBN
    1-4244-0366-7
  • Electronic_ISBN
    1-4244-0367-7
  • Type

    conf

  • DOI
    10.1109/ICME.2006.262907
  • Filename
    4036976