Title :
Adaptive tree-structured lattice vector quantization for video coding
Author :
Ricordel, Vincent ; Gabbouj, Moncef
Author_Institution :
MS-GESSY/ISITV, Univ. de Toulon et du Var, La Valette-du-Var, France
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 [13, 14] 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 ht 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.
Keywords :
image sequences; learning (artificial intelligence); statistical analysis; vector quantisation; video coding; AVQ; LVQ; adaptive tree-structured lattice vector quantization; digital image sequence; embedded truncated lattice packing; image codebook; image compression; spatiotemporal statistics; training sequence; video coding; Bit rate; Entropy; Image coding; Lattices; Resource management; Training; Vector quantization;
Conference_Titel :
Signal Processing Conference (EUSIPCO 1998), 9th European
Conference_Location :
Rhodes
Print_ISBN :
978-960-7620-06-4
