• DocumentCode
    2720677
  • Title

    Research on Key Technology for Game VIdeo Retrieval

  • Author

    Liu, Bin ; Wang, Qian

  • Author_Institution
    Dept. of Phys. Educ., Inst. of Disaster Prevention, Beijing, China
  • fYear
    2012
  • fDate
    11-13 Aug. 2012
  • Firstpage
    1389
  • Lastpage
    1392
  • Abstract
    The paper puts forward that conducting lens boundary detecting by putting image-based time-space module features into application. The method firstly constructs a large number of time-space modules, namely, it detects lens boundary through calculating special vector of pixel in each time-space module, transferring the vector into a 3x3 matrix, and judging whether the matrix has answers or not. Identical subject will be classified into different sub modules due to subjective factors when structuring time-space modules, which ultimately will result in false and miss-judgment of lens boundary detecting. Putting forward the image-based method of time-space combination, the paper determines whether merge two sub modules by comparing similarity between each sub section in initial frame and its adjacent area. It can be proved through ultimate experiment that the approach employed by the paper is capable of producing good results in promoting precision of lens boundary detecting for game technology.
  • Keywords
    image classification; sport; video retrieval; game video retrieval; identical subject classification; image-based time-space module features; lens boundary detection; pixel vector; subjective factors; Algorithm design and analysis; Cameras; Games; Graph theory; Image sequences; Lenses; Support vector machine classification; Sports information; game video; key technology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science & Service System (CSSS), 2012 International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4673-0721-5
  • Type

    conf

  • DOI
    10.1109/CSSS.2012.350
  • Filename
    6394588