• DocumentCode
    1699445
  • Title

    Video temporal segmentation using cooperative model

  • Author

    Teng, Shaohua ; Tan, Wenwei ; Huang, Guibing

  • Author_Institution
    Guangdong Univ. of Technol., Guangzhou
  • fYear
    2008
  • Firstpage
    201
  • Lastpage
    206
  • Abstract
    A first step required to allow video indexing and retrieval of visual data is to perform a temporal segmentation, that is, to find the location of camera- shot transitions, which can be either abrupt or gradual. After a critical review of most approaches seeking to solve this problem, we propose a general method for video temporal segmentation. We adopt cooperative model to decide whether a shot transition exists or not within a given video sequence. A segmentation task can be completed through cooperative mechanism. Further, we apply fusion strategy to analyze candidate results and generate final results. The proposed method is evaluated on the TRECV-D-2005 benchmarking platform and the experimental results reveal the effectiveness of the method.
  • Keywords
    image segmentation; video retrieval; video signal processing; TRECV-D-2005 benchmarking platform; cooperative model; video indexing; video retrieval; video temporal segmentation; Art; Cameras; Content based retrieval; Educational institutions; Fusion power generation; Gunshot detection systems; Indexing; Information retrieval; Video compression; Video sequences; shot boundary; video retrieval; video segmentation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Supported Cooperative Work in Design, 2008. CSCWD 2008. 12th International Conference on
  • Conference_Location
    Xi´an
  • Print_ISBN
    978-1-4244-1650-9
  • Electronic_ISBN
    978-1-4244-1651-6
  • Type

    conf

  • DOI
    10.1109/CSCWD.2008.4536982
  • Filename
    4536982