一种用于视频压缩的自适应矢量量化算法的计算ram实现

Proceedings of International Conference on Consumer Electronics Pub Date : 1995-08-01 DOI:10.1109/ICCE.1995.517994

T.M. Le, S. Panchanathan

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引用次数: 7

摘要

矢量量化(VQ)是一种很有前途的低比特率图像和视频压缩技术。基于vq的自适应视频压缩算法已在文献中报道。提出了一种基于索引运动估计(AVQ+ME)的自适应码本补充VQ算法，用于低比特率视频压缩。该技术已在计算*RAM (C*RAM) SIMD结构上实现。>

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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

Vector quantization (VQ) is a promising technique for low-bit rate image and video compression. 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. >

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Proceedings of International Conference on Consumer Electronics

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