DocumentCode :
2576680
Title :
Improving H.264 performances by quantization of motion vectors
Author :
Corrado, S. ; Agostini, M.A. ; Cagnazzo, M. ; Antonini, M. ; Laroche, G. ; Jung, J.
Author_Institution :
Lab. I3S, UNSA, Sophia Antipolis, France
fYear :
2009
fDate :
6-8 May 2009
Firstpage :
1
Lastpage :
4
Abstract :
The coding resources used for motion vectors (MVs) can attain quite high ratios even in the case of efficient video coders like H.264, and this can easily lead to suboptimal rate-distortion performance. In a previous paper, we proposed a new coding mode for H.264 based on the quantization of motion vectors (QMV). We only considered the case of 16 times 16 partitions for motion estimation and compensation. That method allowed us to obtain an improved trade-off in the resource allocation between vectors and coefficients, and to achieve better rate-distortion performances with respect to H.264. In this paper, we build on the proposed QMV coding mode, extending it to the case of macroblock partition into smaller blocks. This issue requires solving some problems mainly related to the motion vector coding. We show how this task can be performed efficiently in our framework, obtaining further improvements over the standard coding technique.
Keywords :
motion compensation; motion estimation; rate distortion theory; vector quantisation; video coding; H.264; coding resources; motion compensation; motion estimation; motion vectors quantization; rate distortion; video coding; Costs; Decoding; Instruments; Motion estimation; Open loop systems; Rate-distortion; Resource management; Vector quantization; Video coding; Wavelet analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Picture Coding Symposium, 2009. PCS 2009
Conference_Location :
Chicago, IL
Print_ISBN :
978-1-4244-4593-6
Electronic_ISBN :
978-1-4244-4594-3
Type :
conf
DOI :
10.1109/PCS.2009.5167401
Filename :
5167401
Link To Document :
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