• DocumentCode
    1476776
  • Title

    Motion vector refinement for high-performance transcoding

  • Author

    Youn, Jeongnam ; Sun, Ming-Ting ; Lin, Chia-Wen

  • Author_Institution
    Dept. of Electr. Eng., Washington Univ., Seattle, WA, USA
  • Volume
    1
  • Issue
    1
  • fYear
    1999
  • fDate
    3/1/1999 12:00:00 AM
  • Firstpage
    30
  • Lastpage
    40
  • Abstract
    In transcoding, simply reusing the motion vectors extracted from an incoming video bit stream may not result in the best quality. In this paper, we show that the incoming motion vectors become nonoptimal due to the reconstruction errors. To achieve the best video quality possible, a new motion estimation should be performed in the transcoder. We propose a fast-search adaptive motion vector refinement scheme that is capable of providing video quality comparable to that can be achieved by performing a new full-scale motion estimation but with much less computation. We discuss the case when some incoming frames are dropped for frame-rate conversions, and propose motion vector composition method to compose a motion vector from the incoming motion vectors. The composed motion vector can also be refined using the proposed motion vector refinement scheme to achieve better results
  • Keywords
    computational complexity; motion estimation; video coding; adaptive motion vector refinement scheme; full-scale motion estimation; high-performance transcoding; motion estimation; motion vector composition method; motion vector refinement; reconstruction errors; transcoder; video bit stream; video quality; Bit rate; Decoding; Discrete cosine transforms; PSNR; Scalability; Streaming media; Transcoding; Video coding; Video compression; Video on demand;
  • fLanguage
    English
  • Journal_Title
    Multimedia, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1520-9210
  • Type

    jour

  • DOI
    10.1109/6046.748169
  • Filename
    748169