COMPUTATIONAL RAM IMPLEMENTATION OF AN ADAPTIVE VECTOR QUANTIZATION ALGORITHM FOR VIDEO COMPRESSION

被引：2
|
作者：
LE, TM
PANCHANATHAN, S
机构：
[1] Visual Computing and Communications Laboratory, Department of Electrical Engineering, University of Ottawa
来源：
IEEE TRANSACTIONS ON CONSUMER ELECTRONICS | 1995年 / 41卷 / 03期
关键词：
This work was supported by the National Sciences and Engineering Research Council of Canada (NSERC) and Microelectronics Network (MICRONET) under the Network Centers of Excellence (NCE) program of the Government of Canada. The authors wish to thank E Idris for his valuable comments;
D O I：
10.1109/30.468015
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Vector Quantization (VQ) is a promising technique for low-bit rate image and video compression. Recently, adaptive VQ-based video compression algorithms have been reported in the literature. This paper proposes an adaptive codebook replenishment VQ algorithm using index-based motion estimation (AVQ+ME) for low-bit rate video compression. The proposed technique has been implemented on a Computational*RAM (C*RAM) SIMD structure.
引用
收藏
页码：738 / 747
页数：10
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