Session E2: Web Technology and Optimization

Trellis coded quantization, both scalar and vector, improves upon traditional trellis encoded systems by labelling the trellis branches with entire subsets rather than with individual reproduction levels. Trellis Coded Vector Quantization (TCVQ) was introduced as an effective low-complexity source coding technique which achieves rate-distortion performance superior to many conventional optimal quantizers. In this paper, we describe the design of TCVQ encoding system and its improvement by an optimization procedure which was developed for TCVQ codebook conception. We will show that, for a fixed rate, TCVQ encoding with optimized codebook yields better performance than the non optimized encoder. We will also show the superiority of the TCVQ scheme over conventional optimal source coding techniques.