An efficient hardware design for intra-prediction in H.264/AVC decoder

M. Nadeem, Stephan Wong, G. Kuzmanov
{"title":"An efficient hardware design for intra-prediction in H.264/AVC decoder","authors":"M. Nadeem, Stephan Wong, G. Kuzmanov","doi":"10.1109/SIECPC.2011.5876914","DOIUrl":null,"url":null,"abstract":"The H.264/AVC intra-frame codec is widely used to compress image/video data for applications like Digital Still Camera (DSC), Digital Video Camera (DVC), Television Studio Broadcast, and Surveillance video. Intra-prediction is one of the top 3 compute-intensive processing functions in the H.264/AVC baseline decoder [6] and, therefore, consumes significant number of compute cycles a processor. In this paper, we propose a configurable, high-throughput, and area-efficient hardware design for the intra-prediction unit. The intra-prediction algorithm is optimized to significantly reduce the redundancy in addition operations (e.g., 27% reduction when compared with state-of-the-art in literature [12]). The area requirement for our hardware implementation of the optimized intra-prediction algorithm is further reduced by employing a configurable design to reuse data paths for mutually exclusive processing scenarios. The proposed design is described in VHDL and synthesized under 0.18μm CMOS standard cell technology. While working at a clock frequency of 150 MHz, it can easily meet the throughput requirement of HDTV resolutions and consumes only 21K gates.","PeriodicalId":125634,"journal":{"name":"2011 Saudi International Electronics, Communications and Photonics Conference (SIECPC)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 Saudi International Electronics, Communications and Photonics Conference (SIECPC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SIECPC.2011.5876914","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8

Abstract

The H.264/AVC intra-frame codec is widely used to compress image/video data for applications like Digital Still Camera (DSC), Digital Video Camera (DVC), Television Studio Broadcast, and Surveillance video. Intra-prediction is one of the top 3 compute-intensive processing functions in the H.264/AVC baseline decoder [6] and, therefore, consumes significant number of compute cycles a processor. In this paper, we propose a configurable, high-throughput, and area-efficient hardware design for the intra-prediction unit. The intra-prediction algorithm is optimized to significantly reduce the redundancy in addition operations (e.g., 27% reduction when compared with state-of-the-art in literature [12]). The area requirement for our hardware implementation of the optimized intra-prediction algorithm is further reduced by employing a configurable design to reuse data paths for mutually exclusive processing scenarios. The proposed design is described in VHDL and synthesized under 0.18μm CMOS standard cell technology. While working at a clock frequency of 150 MHz, it can easily meet the throughput requirement of HDTV resolutions and consumes only 21K gates.
一种高效的H.264/AVC解码器内预测硬件设计
H.264/AVC帧内编解码器被广泛用于压缩图像/视频数据,如数字静止相机(DSC)、数字视频摄像机(DVC)、电视演播室广播和监控视频。Intra-prediction是H.264/AVC基线解码器中计算密集型的前三大处理功能之一[6],因此一个处理器会消耗大量的计算周期。在本文中,我们提出了一种可配置的、高吞吐量的、面积有效的内预测单元硬件设计。对内预测算法进行了优化,显著减少了加法操作的冗余(例如,与文献[12]中最先进的算法相比减少了27%)。通过采用可配置设计为互斥处理场景重用数据路径,我们优化的内部预测算法的硬件实现的面积需求进一步减少。该设计采用VHDL语言进行描述,并在0.18μm CMOS标准单元技术下进行合成。当工作在150mhz时钟频率时,它可以轻松满足HDTV分辨率的吞吐量要求,并且仅消耗21K门。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
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:481959085
Book学术官方微信