基于8×8 Hadamard变换的HEVC编码器SATD硬件架构

Bianca Silveira, C. Diniz, M. Fonseca, E. Costa
{"title":"基于8×8 Hadamard变换的HEVC编码器SATD硬件架构","authors":"Bianca Silveira, C. Diniz, M. Fonseca, E. Costa","doi":"10.1109/ICECS.2015.7440382","DOIUrl":null,"url":null,"abstract":"The most recent video compression standard is the High Efficient Video Coding (HEVC). It was created with the goal of reaching better videos compression compared to the existing ones. One of the most time-consuming modules of HEVC encoder is the Sum of Absolute Transform Differences (SATD), which is used in intra prediction mode decision and in Fractional pixel Motion Estimation (FME) modules. This paper proposes a dedicated architecture for SATD, based on 2-D 8×8 Hadamard Transform, which is divided into 1-D horizontal and 1-D vertical transforms. The architecture was synthesized to ASIC 45 nm technology and to FPGA. The results show that the whole SATD architecture consumes a total cell area of 12231 μm2, dissipates 3765.6 μW of total power and consumes 50.85 pJ of energy per SATD operation.","PeriodicalId":215448,"journal":{"name":"2015 IEEE International Conference on Electronics, Circuits, and Systems (ICECS)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"15","resultStr":"{\"title\":\"SATD hardware architecture based on 8×8 Hadamard Transform for HEVC encoder\",\"authors\":\"Bianca Silveira, C. Diniz, M. Fonseca, E. Costa\",\"doi\":\"10.1109/ICECS.2015.7440382\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The most recent video compression standard is the High Efficient Video Coding (HEVC). It was created with the goal of reaching better videos compression compared to the existing ones. One of the most time-consuming modules of HEVC encoder is the Sum of Absolute Transform Differences (SATD), which is used in intra prediction mode decision and in Fractional pixel Motion Estimation (FME) modules. This paper proposes a dedicated architecture for SATD, based on 2-D 8×8 Hadamard Transform, which is divided into 1-D horizontal and 1-D vertical transforms. The architecture was synthesized to ASIC 45 nm technology and to FPGA. The results show that the whole SATD architecture consumes a total cell area of 12231 μm2, dissipates 3765.6 μW of total power and consumes 50.85 pJ of energy per SATD operation.\",\"PeriodicalId\":215448,\"journal\":{\"name\":\"2015 IEEE International Conference on Electronics, Circuits, and Systems (ICECS)\",\"volume\":\"57 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"15\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 IEEE International Conference on Electronics, Circuits, and Systems (ICECS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICECS.2015.7440382\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE International Conference on Electronics, Circuits, and Systems (ICECS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICECS.2015.7440382","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 15

摘要

最新的视频压缩标准是高效视频编码(HEVC)。与现有的相比,它的目标是达到更好的视频压缩。绝对变换差分和(SATD)是HEVC编码器中最耗时的模块之一,主要用于帧内预测模式决策和分数像素运动估计(FME)模块。本文提出了一种基于二维8×8 Hadamard变换的SATD专用体系结构,分为一维水平变换和一维垂直变换。该体系结构被合成为45纳米ASIC技术和FPGA。结果表明,整个SATD架构的总单元面积为12231 μm2,总功耗为3765.6 μW,每个SATD运行能耗为50.85 pJ。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
SATD hardware architecture based on 8×8 Hadamard Transform for HEVC encoder
The most recent video compression standard is the High Efficient Video Coding (HEVC). It was created with the goal of reaching better videos compression compared to the existing ones. One of the most time-consuming modules of HEVC encoder is the Sum of Absolute Transform Differences (SATD), which is used in intra prediction mode decision and in Fractional pixel Motion Estimation (FME) modules. This paper proposes a dedicated architecture for SATD, based on 2-D 8×8 Hadamard Transform, which is divided into 1-D horizontal and 1-D vertical transforms. The architecture was synthesized to ASIC 45 nm technology and to FPGA. The results show that the whole SATD architecture consumes a total cell area of 12231 μm2, dissipates 3765.6 μW of total power and consumes 50.85 pJ of energy per SATD operation.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信