DocumentCode :
293596
Title :
Constrained gradient descent algorithm for residual vector quantizer design
Author :
Venkatraman, Mahesh ; Nasrabadi, Nasser M.
Author_Institution :
Dept. of Electr. & Comput. Eng., State Univ. of New York, Buffalo, NY, USA
Volume :
1
fYear :
1994
fDate :
13-16 Nov 1994
Firstpage :
124
Abstract :
Residual vector quantizers have been proposed to overcome the search complexity of regular single stage vector quantizers. We present a design algorithm for residual vector quantizer codebooks. An attempt is made to make full use of the sequential search nature of the encoding process. An error energy is formulated based on the distortion criterion with a constraint imposed to optimize for the sequential search. The codebook design is formulated as multidimensional minimization problem, where the error energy is minimized to obtain the required codebooks. The proposed algorithm is based on the gradient descent algorithm
Keywords :
image coding; minimisation; search problems; vector quantisation; codebook design; constrained gradient descent algorithm; design algorithm; distortion criterion; encoding; error energy; image compression; multidimensional minimization problem; residual vector quantizer codebooks; residual vector quantizer design; search complexity; sequential search; Algorithm design and analysis; Bit rate; Constraint optimization; Design methodology; Encoding; Image coding; Multidimensional systems; Partitioning algorithms; Table lookup; Vector quantization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing, 1994. Proceedings. ICIP-94., IEEE International Conference
Conference_Location :
Austin, TX
Print_ISBN :
0-8186-6952-7
Type :
conf
DOI :
10.1109/ICIP.1994.413288
Filename :
413288
Link To Document :
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