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Proceedings Paper

Temporal Adaptive Vector Quantization For Image Sequence Coding
Author(s): Claude Labit; Jean-Pierre Marescq
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Paper Abstract

Vector quantization (Vq) provides us with an appropriate technique to obtain high compression ratios. However, for image sequence coding, vector quantizer has to design temporally stable codebooks of representative vectors and this constraint of temporal stability has to be solved with a minimal computational complexity. We propose a new coding scheme based on visual classification and temporal refreshment procedures which enable to design subjectively optimal codebooks for any kind of real broadcast image sequence. This contribution reports results of simulations about how such a classification may be introduced and evaluated and how vector quantizer may be refreshed. We obtain significantly better reconstruction quality for a given codebook size and investigate several available solutions to implement the codebook refreshment procedures.

Paper Details

Date Published: 14 October 1987
PDF: 8 pages
Proc. SPIE 0804, Advances in Image Processing, (14 October 1987); doi: 10.1117/12.941336
Show Author Affiliations
Claude Labit, INRIA/IRISA - Centre de Rennes (France)
Jean-Pierre Marescq, INRIA/IRISA - Centre de Rennes (France)

Published in SPIE Proceedings Vol. 0804:
Advances in Image Processing
Andre J. Oosterlinck; Andrew G. Tescher, Editor(s)

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