Wavelet transform-based downsampling for low bit-rate video coding

Kankan Zheng, L. Zhang, Rong Xie
{"title":"Wavelet transform-based downsampling for low bit-rate video coding","authors":"Kankan Zheng, L. Zhang, Rong Xie","doi":"10.1109/ICEDIF.2015.7280197","DOIUrl":null,"url":null,"abstract":"Video coding has been a very hot area of research for a long time. The latest standard High Efficiency Video Coding (HEVC) outperforms H.264 a lot and needs only half of bit-rate to obtain the same performance. However HEVC is designed for high definition video such as 1080p and above. The high compression rate calls for high complexity, which limits the application in some low bandwidth and low complexity conditions. In this paper, an idea of wavelet transform-based downsampling scheme for intra mode is used before HEVC coding to ensure the bandwidth for low frequency content of video in low bit-rate condition. Furthermore the downsampled size of video can reduce the complexity of HEVC encoding procedure to only a quarter of the original size. To make the performance better, we also allocate bandwidth for high frequency content. Bit-plane encoding with frame partition is used to encode the high frequency coefficients efficiently. Bit-plane encoding scheme encodes big data first so that the high frequency content can be transmitted in an arbitrary truncated bitstream. Frame partition uses fewer bits to encode more coefficients. Simulation results of intra mode coding are presented to show the advantage of our algorithm. The proposed wavelet transform-based downsampling scheme reduces the complexity of HEVC. Together with high frequency coefficients encoding, our algorithm can perform similar coding performance as HEVC.","PeriodicalId":355975,"journal":{"name":"2015 International Conference on Estimation, Detection and Information Fusion (ICEDIF)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 International Conference on Estimation, Detection and Information Fusion (ICEDIF)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICEDIF.2015.7280197","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Video coding has been a very hot area of research for a long time. The latest standard High Efficiency Video Coding (HEVC) outperforms H.264 a lot and needs only half of bit-rate to obtain the same performance. However HEVC is designed for high definition video such as 1080p and above. The high compression rate calls for high complexity, which limits the application in some low bandwidth and low complexity conditions. In this paper, an idea of wavelet transform-based downsampling scheme for intra mode is used before HEVC coding to ensure the bandwidth for low frequency content of video in low bit-rate condition. Furthermore the downsampled size of video can reduce the complexity of HEVC encoding procedure to only a quarter of the original size. To make the performance better, we also allocate bandwidth for high frequency content. Bit-plane encoding with frame partition is used to encode the high frequency coefficients efficiently. Bit-plane encoding scheme encodes big data first so that the high frequency content can be transmitted in an arbitrary truncated bitstream. Frame partition uses fewer bits to encode more coefficients. Simulation results of intra mode coding are presented to show the advantage of our algorithm. The proposed wavelet transform-based downsampling scheme reduces the complexity of HEVC. Together with high frequency coefficients encoding, our algorithm can perform similar coding performance as HEVC.
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
基于小波变换的低比特率视频编码下采样
视频编码一直是一个非常热门的研究领域。最新标准的高效视频编码(High Efficiency Video Coding, HEVC)大大优于H.264,并且只需要一半的比特率就可以获得相同的性能。然而,HEVC是为1080p及以上的高清视频而设计的。高压缩率要求高复杂度,这限制了在一些低带宽、低复杂度条件下的应用。为了保证低比特率条件下视频低频内容的带宽,本文在HEVC编码前采用了基于小波变换的帧内下采样方案。此外,压缩后的视频尺寸可以将HEVC编码过程的复杂度降低到原始尺寸的四分之一。为了提高性能,我们还为高频内容分配了带宽。采用帧分割的位平面编码方式对高频系数进行有效编码。位平面编码方案首先对大数据进行编码,使得高频内容可以在任意截断的比特流中传输。帧分割使用更少的比特来编码更多的系数。最后给出了模内编码的仿真结果,证明了该算法的优越性。提出的基于小波变换的下采样方案降低了HEVC的复杂度。结合高频系数编码,该算法具有与HEVC相似的编码性能。
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
Trust value calculation in domains based on grid environment An improved permutation alignment algorithm for convolutive mixture of radar signals Wavelet transform-based downsampling for low bit-rate video coding Latent training for convolutional neural networks An optimized travelling time estimation mechanism for minimizing handover failures from cellular networks to WLANs
×
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