DocumentCode
885416
Title
Multidimensional quantizers for scalable video compression
Author
Singh, Ashutosh
Author_Institution
IBM Corp., Austin, TX
Volume
11
Issue
1
fYear
1993
fDate
1/1/1993 12:00:00 AM
Firstpage
36
Lastpage
45
Abstract
Scalable video compression requires the creation of an encoded bit stream that may be decoded in part if channel bandwidth drops, decoder resources are limited, or a smaller image than the source is desired. A separable spatiotemporal subband decomposition is combined with vector and lattice quantizers modified so that the individual subbands may be decoded scalably. This results in finer bandwidth control and more flexibility than simply discarding entire subbands
Keywords
data compression; image coding; vector quantisation; video signals; lattice quantizers; multidimensional quantizers; scalable video compression; separable spatiotemporal subband decomposition; vector quantizers; Bandwidth; Decoding; HDTV; Image coding; Multidimensional systems; Scalability; Signal processing; Streaming media; TV; Video compression;
fLanguage
English
Journal_Title
Selected Areas in Communications, IEEE Journal on
Publisher
ieee
ISSN
0733-8716
Type
jour
DOI
10.1109/49.210542
Filename
210542
Link To Document