高分辨率视频编码中两级分层运动估计的数据重用

M. Jakubowski, G. Pastuszak
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引用次数: 3

摘要

在视频编码系统的硬件实现中,存储器访问是一个关键问题,而运动估计(ME)模块是占用数据访问最多的模块。为了满足HD规范的要求,传统的数据重用方案是不够的。本文将分层方法与C级和D级数据重用方案相结合。所提出的两级分层ME算法与C级方案相比,外部存储器带宽减少77%,片上存储器大小减少93%,与一级完全搜索(OLFS)相比,计算复杂度降低99%以上,达到接近OLFS的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Data reuse in two-level hierarchical motion estimation for high resolution video coding
In hardware implementation of a video coding system memory access becomes a critical issue and the motion estimation (ME) module is the one which consumes most of the data access. To meet the requirements of HD specification, conventional data reuse schemes are not sufficient. In this paper, the hierarchical approach to ME is combined with the Level C and D data reuse schemes. Proposed two-level hierarchical ME algorithm reduces the external memory bandwidth by 77% and the on-chip memory size by 93% with reference to the Level C scheme, and computational complexity by over 99% with reference to the one-level full search (OLFS), achieving the results close to OLFS.
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