{"title":"Source adaptive software 2D iDCT with SIMD","authors":"L. Winger","doi":"10.1109/ICASSP.2000.860191","DOIUrl":null,"url":null,"abstract":"This paper presents a fast two-dimensional inverse discrete cosine transform that adapts to compressed video source statistics to reduce execution time. iDCT algorithms for sparse blocks eliminate calculations for some zero coefficients and are implemented with quad-word parallel single-instruction-multiple-data (SIMD) multimedia instructions. It is observed that end-of-block marker value histograms vary little within single shots. An adaptive control mechanism is proposed that chooses the optimal set of iDCTs to prepare for an entire shot from its 1st frames (to reduce software overheads and penalties). This introduces no degradation of decoded video quality compared with a conventional SIMD 8/spl times/8 iDCT implemented with Intel MMX instructions. It is confirmed that execution time is reduced an additional 15% with Murata's method for 4 Mbps MPEG2 natural video. In comparison, execution time is reduced 22% with a modified version Murata's method, and by 35% with the new source adaptive method.","PeriodicalId":164817,"journal":{"name":"2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100)","volume":"126 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2000-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICASSP.2000.860191","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4

Abstract

This paper presents a fast two-dimensional inverse discrete cosine transform that adapts to compressed video source statistics to reduce execution time. iDCT algorithms for sparse blocks eliminate calculations for some zero coefficients and are implemented with quad-word parallel single-instruction-multiple-data (SIMD) multimedia instructions. It is observed that end-of-block marker value histograms vary little within single shots. An adaptive control mechanism is proposed that chooses the optimal set of iDCTs to prepare for an entire shot from its 1st frames (to reduce software overheads and penalties). This introduces no degradation of decoded video quality compared with a conventional SIMD 8/spl times/8 iDCT implemented with Intel MMX instructions. It is confirmed that execution time is reduced an additional 15% with Murata's method for 4 Mbps MPEG2 natural video. In comparison, execution time is reduced 22% with a modified version Murata's method, and by 35% with the new source adaptive method.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
源自适应软件2D iDCT与SIMD
本文提出了一种快速二维反离散余弦变换,该变换适应于压缩视频源统计,以减少执行时间。稀疏块的iDCT算法消除了一些零系数的计算,并采用四字并行单指令多数据(SIMD)多媒体指令实现。观察到,块末标记值直方图在单个镜头内变化很小。提出了一种自适应控制机制,从第一帧开始选择最优的idct集来准备整个镜头(以减少软件开销和处罚)。与使用Intel MMX指令实现的传统SIMD 8/spl times/8 iDCT相比,这不会导致解码视频质量的下降。经证实,对于4 Mbps的MPEG2自然视频,使用村田的方法可以额外减少15%的执行时间。相比之下,改进版本的Murata方法的执行时间减少了22%,新的源代码自适应方法的执行时间减少了35%。
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 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Phase-based multidimensional volume registration Generation of optimum signature base sequences for speech signals Denoising of human speech using combined acoustic and EM sensor signal processing New estimation technique for a class of chaotic signals Inversion of block matrices with block banded inverses: application to Kalman-Bucy filtering
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1