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