• DocumentCode
    2048437
  • Title

    Plays from Motions for Baseball Video Retrieval

  • Author

    Aoki, Kyota

  • Author_Institution
    Dept. of Inf. Syst. Sci., Utsunomiya Univ., Utsunomiya, Japan
  • Volume
    1
  • fYear
    2010
  • fDate
    19-21 March 2010
  • Firstpage
    271
  • Lastpage
    275
  • Abstract
    There are many videos about sports. There is a large need for content-based video retrievals. In sports videos, the motions and camera works have much information about shots and plays. This paper proposes the same play retrieval method using the similar motion retrieval on videos. We can retrieve the similar motion parts based on motions shown in videos using the space-time images describing the motions. Using a finite state model of a play, we can retrieve the precise point of pitches from the pattern of estimated typical motions. This paper describes the method and the experimental results.
  • Keywords
    content-based retrieval; motion estimation; video retrieval; baseball video retrieval; content-based video retrievals; motion play; motion retrieval; space-time images; Cameras; Computer applications; Content based retrieval; Games; Image retrieval; Machine assisted indexing; Motion estimation; State estimation; Strips; Videoconference; 1-dimensional projection; motion estimation; play from motion; similar motion; video retrieval;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Engineering and Applications (ICCEA), 2010 Second International Conference on
  • Conference_Location
    Bali Island
  • Print_ISBN
    978-1-4244-6079-3
  • Electronic_ISBN
    978-1-4244-6080-9
  • Type

    conf

  • DOI
    10.1109/ICCEA.2010.61
  • Filename
    5445823