signature=04009eff4fcc01e26f9e8e217d1a4913,An Enhanced fractional Motion Estimation algorithm for HD...

贝叶斯蝴蝶

于 2021-05-29 19:22:17 发布

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文章标签： signature=04009eff4fcc01e26f9e8e217d1a4913

该文探讨了在高清视频中，分数运动估计（FME）与Signature-Based FME算法结合使用时对质量的影响。研究比较了Fractional FME（FFME）与Enhanced FME（EFME）在假设它们具有相似计算复杂度和功率消耗情况下的结果质量。主要目标是在保持相同功率消耗的同时提升图像质量，或者在保持相同质量的前提下减少手持设备进行运动估计的功耗和成本。

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摘要：

Motion estimation (ME) consumes the major part of time and power in both video compression standards - HEVC and H.264. This paper evaluates the impact of fractional motion estimation (FME) for HD videos if applied along with Signature Based FME algorithm, which targets Full Search quality. The paper compares the quality of results of Fractional FME (FFME) vs Enhanced FME (EFME) assuming they have similar computation complexity, hence power consumption. The main purpose is improving the image quality for the same power consumption or equivalently reducing cost and power for the same quality in handheld devices performing Motion Estimation. The algorithms used are an extension to one of the most efficient algorithms - HMDS.

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