A light-weight HEVC encoder for image coding

Fei Liang, Xiulian Peng, Jizheng Xu
{"title":"A light-weight HEVC encoder for image coding","authors":"Fei Liang, Xiulian Peng, Jizheng Xu","doi":"10.1109/VCIP.2013.6706448","DOIUrl":null,"url":null,"abstract":"High Efficiency Video Coding (HEVC), not only provides a much better coding efficiency than previous video coding standards, but also shows significantly superior performance than other image coding schemes when applied to image coding. However, the improvement is at the cost of significant increase of encoding complexity. In this paper, we focus on retaining the high coding efficiency provided by HEVC while largely reducing its encoding complexity for image coding. By applying various techniques including optimized coding structure parameters, coding unit early termination, fast intra prediction and transform skip mode decision, we significantly reduce the complexity of HEVC intra coding while keeping most of its coding efficiency. Experimental results show that our light-weight HEVC encoder can save about 82% coding time compared with original HEVC encoder. With a slight loss to the HEVC reference software, the proposed scheme still gains about 19% in BD-BR compared with H.264/AVC.","PeriodicalId":407080,"journal":{"name":"2013 Visual Communications and Image Processing (VCIP)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 Visual Communications and Image Processing (VCIP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/VCIP.2013.6706448","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

High Efficiency Video Coding (HEVC), not only provides a much better coding efficiency than previous video coding standards, but also shows significantly superior performance than other image coding schemes when applied to image coding. However, the improvement is at the cost of significant increase of encoding complexity. In this paper, we focus on retaining the high coding efficiency provided by HEVC while largely reducing its encoding complexity for image coding. By applying various techniques including optimized coding structure parameters, coding unit early termination, fast intra prediction and transform skip mode decision, we significantly reduce the complexity of HEVC intra coding while keeping most of its coding efficiency. Experimental results show that our light-weight HEVC encoder can save about 82% coding time compared with original HEVC encoder. With a slight loss to the HEVC reference software, the proposed scheme still gains about 19% in BD-BR compared with H.264/AVC.
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
用于图像编码的轻量级HEVC编码器
高效视频编码(High Efficiency Video Coding, HEVC)不仅提供了比以前的视频编码标准更高的编码效率,而且在应用于图像编码时也表现出明显优于其他图像编码方案的性能。然而,这种改进是以显著增加编码复杂度为代价的。在本文中,我们的重点是保留HEVC所提供的高编码效率,同时大大降低其编码复杂度。通过优化编码结构参数、编码单元提前终止、快速内预测和变换跳过模式决策等技术,在保持HEVC编码效率的同时,显著降低了HEVC内编码的复杂度。实验结果表明,与原有的HEVC编码器相比,轻量级HEVC编码器可节省约82%的编码时间。与H.264/AVC相比,在对HEVC参考软件略有损失的情况下,该方案的BD-BR性能仍提高了19%左右。
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
New motherwavelet for pattern detection in IR image Improved disparity vector derivation in 3D-HEVC Learning non-negative locality-constrained Linear Coding for human action recognition Wavelet based smoke detection method with RGB Contrast-image and shape constrain Joint image denoising using self-similarity based low-rank approximations
×
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:481959085
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