• DocumentCode
    2928582
  • Title

    Content-based hierarchical motion description for multiple video adaptation

  • Author

    Shen, Qiu ; Li, Houqiang ; Wu, Feng

  • Author_Institution
    Univ. of Sci. & Technol. of China, Hefei, China
  • fYear
    2009
  • fDate
    June 28 2009-July 3 2009
  • Firstpage
    25
  • Lastpage
    28
  • Abstract
    Video adaptation has been considered as a promising technique to tackle challenging problems in pervasive multimedia applications. However, the styles of video representation and description in existing framework are not flexible enough to adapt diversified application environment. In this paper, we propose a novel solution based on intermediate description, which can support fast multiple video adaptation operations in signal level (e.g., temporal resolution reduction, bit-rate adaptation), structural level (e.g., random access of any shots, fast preview of any key-frames or thumbnails), as well as joint level. Experimental results show that the presented solution can support the operations in real-time environment, while maintaining coding efficiency, which demonstrates its feasibility and effectiveness.
  • Keywords
    content management; image motion analysis; multimedia computing; ubiquitous computing; video signal processing; content-based hierarchical motion description; multiple video adaptation operation; pervasive multimedia application; video representation; Asia; Computational complexity; Decoding; Motion estimation; Quantization; Signal generators; Signal processing; Static VAr compensators; Transcoding; Video coding; Video coding; motion description; multidimensional adaption; video adaptation; video structure;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia and Expo, 2009. ICME 2009. IEEE International Conference on
  • Conference_Location
    New York, NY
  • ISSN
    1945-7871
  • Print_ISBN
    978-1-4244-4290-4
  • Electronic_ISBN
    1945-7871
  • Type

    conf

  • DOI
    10.1109/ICME.2009.5202427
  • Filename
    5202427