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
Link To Document