{"title":"Low complexity HEVC sub-pixel motion estimation technique and its hardware implementation","authors":"A. Mert, Ercan Kalali, Ilker Hamzaoglu","doi":"10.1109/ICCE-Berlin.2016.7684744","DOIUrl":null,"url":null,"abstract":"In this paper, a low complexity High Efficiency Video Coding (HEVC) sub-pixel motion estimation (SPME) technique is proposed. The proposed technique reduces the computational complexity of HEVC SPME significantly at the expense of slight quality loss by calculating the sum of absolute difference (SAD) values of sub-pixel search locations using the SAD values of neighboring integer pixel search locations. In this paper, an efficient HEVC SPME hardware implementing the proposed technique for all prediction unit (PU) sizes is also designed and implemented using Verilog HDL. The proposed hardware, in the worst case, can process 38 Quad Full HD (3840×2160) video frames per second.","PeriodicalId":408379,"journal":{"name":"2016 IEEE 6th International Conference on Consumer Electronics - Berlin (ICCE-Berlin)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE 6th International Conference on Consumer Electronics - Berlin (ICCE-Berlin)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCE-Berlin.2016.7684744","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 10
Abstract
In this paper, a low complexity High Efficiency Video Coding (HEVC) sub-pixel motion estimation (SPME) technique is proposed. The proposed technique reduces the computational complexity of HEVC SPME significantly at the expense of slight quality loss by calculating the sum of absolute difference (SAD) values of sub-pixel search locations using the SAD values of neighboring integer pixel search locations. In this paper, an efficient HEVC SPME hardware implementing the proposed technique for all prediction unit (PU) sizes is also designed and implemented using Verilog HDL. The proposed hardware, in the worst case, can process 38 Quad Full HD (3840×2160) video frames per second.
本文提出了一种低复杂度的高效视频编码(HEVC)亚像素运动估计(SPME)技术。该技术利用相邻整数像素搜索位置的绝对差值(SAD)值计算亚像素搜索位置的绝对差值之和,以轻微的质量损失为代价,显著降低了HEVC SPME的计算复杂度。在本文中,一个高效的HEVC SPME硬件实现了所有预测单元(PU)尺寸的技术,并使用Verilog HDL设计和实现。在最坏的情况下,提议的硬件每秒可以处理38 Quad Full HD (3840×2160)视频帧。