A motion estimation chip for block based MPEG-4 video applications

M. Abbas, B. Talha, S. Khan, A. Abbas
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引用次数: 1

Abstract

The work presents an efficient VLSI architecture for the MPEG-4 video-coding standard. While its predecessors focused on the storage and transmission of audiovisual sequences, MPEG-4, being the first object-based coding standard, has much more to offer. Motion estimation (ME), the most computationally intensive part of MPEG, requires very high power throughput on account of its high memory utilization. To cope with the bandwidth and processing power requirements, the best approach entails a dedicated implementation for such a demanding algorithm. The first step of the design involves hardware/software partitioning to map most of the motion estimation functions in hardware. In order for the system to meet area and power dissipation constraints, fewer time critical functions, like intra-frame coding, discrete cosine transform, quantization, variable length coding and zigzag scanning, are handled as part of the software portion of the program. We have increased the precision significantly by doubling the accuracy of motion compensation from integer-pel to half-pel. Sum of absolute differences (SAD) is chosen as the criterion for evaluating the best match of motion vectors. The block matching is achieved with the novel robust search algorithm called predictive diamond search (PDS).
一种基于块的MPEG-4视频应用的运动估计芯片
本文提出了一种适用于MPEG-4视频编码标准的高效VLSI架构。虽然它的前辈专注于视听序列的存储和传输,但作为第一个基于对象的编码标准,MPEG-4提供了更多的功能。运动估计(ME)是MPEG中计算量最大的部分,由于其较高的内存利用率,需要非常高的功率吞吐量。为了满足带宽和处理能力的要求,最好的方法是为这种苛刻的算法提供专门的实现。设计的第一步涉及硬件/软件划分,以映射硬件中的大多数运动估计功能。为了使系统满足面积和功耗限制,较少的时间关键功能,如帧内编码、离散余弦变换、量化、变长编码和之字形扫描,被处理为程序的软件部分的一部分。我们通过将运动补偿的精度从整数倍提高到半倍,大大提高了精度。选择绝对差和(SAD)作为评价运动向量最佳匹配的标准。采用一种新的鲁棒搜索算法预测菱形搜索(PDS)来实现块匹配。
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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