๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

A pyramid vector quantizer chip for HDTV applications

โœ Scribed by Bellifemine, Fabio ;Picco, Romualdo ;Roncella, Roberto ;Saletti, Roberto ;Terreni, Pierangelo


Publisher
John Wiley and Sons
Year
1997
Tongue
English
Weight
910 KB
Volume
8
Category
Article
ISSN
1124-318X

No coin nor oath required. For personal study only.

โœฆ Synopsis


The quantization process in bit-rate reduction for video coding has been taken into account. Because, at least in theory, vector quantization obtains better performance than scalar quantization, a pyramid vector quantizer has been analysed. Some figures of performance have been estimated by Monte Carlo simulation and, after analysing the problem of vector formation. directly on a typical video coding scheme. In the past, a single-chip dedicated processor for implementation of the PVQ was presented with the conclusion that the allowed quantization sample rate was no greater than 16 kHz. In this work ASIC-oriented modifications of the base algorithm are described and an ASIC design for the PVQ is presented. The architecture of the integrated circuit was obtained by means of the systolic macrocell approach. A system throughput greater than 70 MSa/s was allowed that extends the range of application of the PVQ up to HDTV digital video coding.

( I ) The work was carried our with the financial support of (he Itdian National Research Council ( C N R ) within the framework of the "Progerto Finalizzato Telrconimuiiicaziuni".

Vul. 8. No. 2 blarch -April I997


๐Ÿ“œ SIMILAR VOLUMES


A novel encoding algorithm for vector qu
โœ Jim Z.C. Lai; Yi-Ching Liaw ๐Ÿ“‚ Article ๐Ÿ“… 2009 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 183 KB

In this paper, a novel encoding algorithm for vector quantization is presented. Our method uses a set of transformed codewords and partial distortion rejection to determine the reproduction vector of an input vector. Experimental results show that our algorithm is superior to other methods in terms

A new subsampling-based predictive vecto
โœ Ce Zhu ๐Ÿ“‚ Article ๐Ÿ“… 2002 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 168 KB

Improving coding efficiency for vector quantization (VQ), e.g., reducing bit-rate attainable and increasing encoding speed, has attracted intensive attention. A new image VQ scheme of subsampling-based predictive vector quantization (SB-PVQ) is introduced for this aim, which fully exploits the neigh