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
fDate :
3/1/1999 12:00:00 AM
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;
Journal_Title :
Multimedia, IEEE Transactions on
DOI :
10.1109/6046.748169