Title :
Multidimensional quantizers for scalable video compression
Author_Institution :
IBM Corp., Austin, TX
fDate :
1/1/1993 12:00:00 AM
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;
Journal_Title :
Selected Areas in Communications, IEEE Journal on