Paper Info
Title
An efficient motion re-estimation algorithm for frame-skipping video transcoding
Abstract
In video transcoding, the compressed video bit stream is often converted to the reduced frame rate video bit stream in order to reduce the bit rate. To speed up this operation, a video transcoder usually reuses the decoded motion vectors from the incoming bit stream. Previously, the bilinear interpolation method and forward dominant vector selection method were proposed to compose the missing motion vectors for reuse. In this paper, we propose a new algorithm, called the efficient-forward dominant vector selection, which utilizes the difference between dominant macroblock and motion vector from the incoming ones. We propose a motion vector refinement algorithm called the direction oriented search. The performance of experimental results can be improved while maintaining low computational complexity for a reduced frame rate video transcoder.
Year
DOI
Venue
2005
10.1109/ICIP.2005.1530480
ICIP (3)
Keywords
Field
DocType
decoded motion vectors,efficient-forward dominant vector selection,dominant macroblock,direction oriented search,dos,interpolation,dominant vector selection method,data compression,bilinear interpolation method,frame-skipping,motion vector refinement algorithm,motion estimation,computational complexity,low computational complexity,video coding,e-fdvs,transcoding,frame-skipping video transcoding,motion re-estimation,video bit stream compression,bit rate reduction,frame rate reduction,motion reestimation algorithm,video transcoding
Computer vision,Block-matching algorithm,Quarter-pixel motion,Video post-processing,Computer science,Motion compensation,Algorithm,Video tracking,Inter frame,Artificial intelligence,Motion estimation,Motion vector
Conference
Volume
ISSN
ISBN
3
1522-4880
0-7803-9134-9
Citations 
PageRank 
References 
3
0.43
6
Authors
4
Name
Order
Citations
PageRank
Siyoung Yang1484.18
Dong-Hyung Kim213014.38
Yeonggyun Jeon330.43
Jechang Jeong41002141.22