实时移动视频应用的带宽约束运动估计

Jui-Hung Hsieh, Tian-Sheuan Chang
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引用次数: 0

摘要

本文采用集成的带宽率失真优化框架解决了资源有限的移动视频应用中运动估计的内存带宽问题。仿真结果表明,与H.264参考软件相比,在保持等效率失真(R-D)性能的同时,在低运动CIF尺寸视频中,带宽节省高达86%,达到了实时性目标。对于高运动序列,当搜索范围设置为±16时,算法可以在不违反实时约束的情况下更好地分配高运动宏块的可用带宽。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Bandwidth-constrained motion estimation for real-time mobile video application
This paper addresses the memory bandwidth problem of motion estimation in resource limited mobile video applications by an integrated bandwidth rate distortion optimization framework. The simulation result shows up to 86% bandwidth saving while keeps equivalent rate-distortion (R-D) performance and meets real time target compared with H.264 reference software for low motion CIF size video. For high motion sequence, the result shows our algorithm could better allocate the available bandwidth for high motion macroblock without violating the real time constraint when search range is set to ±16.
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