DocumentCode :
892613
Title :
Variable rate vector quantization for speech, image, and video compression
Author :
Lookabaugh, Tom ; Riskin, Eve A. ; Chou, Philip A. ; Gray, Robert M.
Author_Institution :
Inf. Syst. Lab., Stanford Univ., CA, USA
Volume :
41
Issue :
1
fYear :
1993
fDate :
1/1/1993 12:00:00 AM
Firstpage :
186
Lastpage :
199
Abstract :
The performance of a vector quantizer can be improved by using a variable-rate code. Three variable-rate vector quantization systems are applied to speech, image, and video sources and compared to standard vector quantization and noiseless variable-rate coding approaches. The systems range from a simple and flexible tree-based vector quantizer to a high-performance, but complex, jointly optimized vector quantizer and noiseless code. The systems provide significant performance improvements for subband speech coding, predictive image coding, and motion-compensated video, but provide only marginal improvements for vector quantization of linear predictive coefficients in speech and direct vector quantization of images. Criteria are suggested for determining when variable-rate vector quantization may provide significant performance improvement over standard approaches
Keywords :
image coding; linear predictive coding; speech coding; vector quantisation; video signals; direct vector quantization; entropy constrained vector quantisation; entropy-pruned tree-structured vector quantisation; image compression; linear predictive coefficients; motion-compensated video; noiseless code; predictive image coding; speech compression; subband speech coding; tree-based vector quantizer; variable-rate code; vector quantization; video compression; Algorithm design and analysis; Buffer storage; Decoding; Encoding; Image coding; Information systems; Laboratories; Speech coding; Vector quantization; Video compression;
fLanguage :
English
Journal_Title :
Communications, IEEE Transactions on
Publisher :
ieee
ISSN :
0090-6778
Type :
jour
DOI :
10.1109/26.212378
Filename :
212378
Link To Document :
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