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Conference Papers Year : 1998

Adaptive Tree-Structure Lattice Vector Quantization for Video Coding

Abstract

The purpose of this paper is to introduce a new adaptive vector quantization (AVQ) for the compression of digital image sequences. In our previous studies we proposed a lattice vector quantizer (LVQ) based on the hierarchical packing of embedded truncated lattices. Now we investigate the capability of this LVQ for AVQ, through a scheme taking account of its tree-structure. Precisely, in order to fit the spatiotemporal statistics of the image sequences, the codebook is designed using a training procedure and in two parts, with: a stump from several types of training sequences; some branches added according to the sequence to be coded. Experimental results are given with the adaptive LVQ taking place in a subband coder.
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Dates and versions

hal-00451700 , version 1 (29-01-2010)

Identifiers

  • HAL Id : hal-00451700 , version 1

Cite

Vincent Ricordel, Moncef Gabbouj. Adaptive Tree-Structure Lattice Vector Quantization for Video Coding. European Signal Processing Conference (EUSIPCO), Sep 1998, Rhodes, Greece. ⟨hal-00451700⟩

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