基于小区损失补偿的ATM视频编码自适应运动补偿矢量量化器

Jian Feng, K. Lo, H. Mehrpour
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引用次数: 0

摘要

提出了一种用于ATM视频编码的色彩层自适应运动补偿矢量量化器(AMCVQ)。该方法将图像块分为三种不同的运动类。低动作,中动作和高动作。只有中运动类的运动补偿预测(MCP)误差和高运动类的像素元被特定的矢量量化器编码。仿真结果表明,所提出的AMCVQ编码器比MPEG DCT帧间编码器具有更好的MSE性能。此外,针对ATM环境下的小区丢失问题,提出了一种简单的补偿方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Adaptive motion compensated vector quantizer for ATM video coding with cell loss compensation
In this paper, a hue-layer adaptive motion compensated vector quantizer (AMCVQ) is proposed for ATM video coding. The proposed method classifies image blocks into three different motion classes. Low motion, medium motion and high motion. Only the motion compensated prediction (MCP) error of the medium-motion class and the pixel elements of the high-motion class are to be encoded by specific vector quantizers. Simulation results show that the proposed AMCVQ coder has better MSE performance than the MPEG DCT interframe coder. In addition, a simple compensation method is developed for handling the cell loss problem in ATM environment as well.<>
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