DocumentCode :
3012992
Title :
Lossy encoding of motion vectors using entropy-constrained vector quantization
Author :
Joshi, Rajan L. ; Fischer, Thomas R. ; Bamberger, Roberto H.
Author_Institution :
Sch. of Electr. Eng. & Comput. Sci., Washington State Univ., Pullman, WA, USA
Volume :
3
fYear :
1995
fDate :
23-26 Oct 1995
Firstpage :
109
Abstract :
Many well-known video coding algorithms employ block motion estimation and compensation. But not much attention has been given to the problem of rate allocation for encoding the motion vectors and motion compensated difference frame. We propose entropy-constrained vector quantization of a dense motion vector field as a means of controlling the rate allocated to encoding of motion vectors. An algorithm is proposed for accomplishing this task and extension to motion vector encoding using prediction is discussed
Keywords :
entropy; motion compensation; motion estimation; prediction theory; rate distortion theory; vector quantisation; video coding; algorithm; block motion compensation; block motion estimation; dense motion vector field; entropy-constrained vector quantization; lossy encoding; motion compensated difference frame; motion vector encoding; motion vectors; prediction; rate allocation; rate distortion; video coding algorithms; Bit rate; Computer science; Costs; Encoding; Motion compensation; Motion control; Motion estimation; Rate-distortion; Vector quantization; Video coding;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing, 1995. Proceedings., International Conference on
Conference_Location :
Washington, DC
Print_ISBN :
0-8186-7310-9
Type :
conf
DOI :
10.1109/ICIP.1995.537592
Filename :
537592
Link To Document :
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