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Proceedings Paper

Entropy-constrained finite-state residual vector quantization: a new scheme for low-bit-rate coding
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Paper Abstract

Finite-state vector quantization (FSVQ) is known to give a better performance than a memoryless vector quantization (VQ). Recently, a new scheme that incorporates a finite memory into a residual vector quantizer (RVQ) has been developed. This scheme is referred to as finite-state RVQ (FSRVQ). FSRVQ gives better performance than the conventional FSVQ with a substantial reduction in the memory requirement. The codebook search complexity of an FSRVQ is also reduced in comparison with that of the conventional FSVQ scheme. This paper presents a new variable-rate VQ scheme called entropy-constrained finite state residual vector quantization (EC-FSRVQ). EC-FSRVQ is designed by incorporating a constraint on the output entropy of an FSRVQ during the design process. This scheme is intended for low bit rate applications due to its low codebook search complexity and memory requirements. Experimental results show that the EC-FSRVQ outperforms JPEG at low bit rates.

Paper Details

Date Published: 27 February 1996
PDF: 12 pages
Proc. SPIE 2727, Visual Communications and Image Processing '96, (27 February 1996); doi: 10.1117/12.233242
Show Author Affiliations
Syed A. Rizvi, SUNY/Buffalo (United States)
Nasser M. Nasrabadi, SUNY/Buffalo (United States)


Published in SPIE Proceedings Vol. 2727:
Visual Communications and Image Processing '96
Rashid Ansari; Mark J. T. Smith, Editor(s)

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