Distributed Video Coding Based on Compressed Sensing

Yousuf Baig, E. Lai, A. Punchihewa
{"title":"Distributed Video Coding Based on Compressed Sensing","authors":"Yousuf Baig, E. Lai, A. Punchihewa","doi":"10.1109/ICMEW.2012.62","DOIUrl":null,"url":null,"abstract":"Compressed Sensing (CS) is a new approach to signal acquisition that can potentially allow us to design very simple video encoders that can be implemented on mobile devices with limited resources. However, previously proposed CS based video codec either require a conventional video codec or a feedback channel for effective operation, thus increasing the complexity. In this paper, a distributed Compressed Video Sensing codec is proposed that only makes use of CS at the encoder. A novel Side Information generation scheme is incorporated in the decoder which exploits the correlation between CS measurements of nearby frames. It is much simpler than other schemes found in the literature and yet effective. Simulation results demonstrate that effective video coding can be achieved using this codec.","PeriodicalId":385797,"journal":{"name":"2012 IEEE International Conference on Multimedia and Expo Workshops","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2012-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"14","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 IEEE International Conference on Multimedia and Expo Workshops","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMEW.2012.62","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 14

Abstract

Compressed Sensing (CS) is a new approach to signal acquisition that can potentially allow us to design very simple video encoders that can be implemented on mobile devices with limited resources. However, previously proposed CS based video codec either require a conventional video codec or a feedback channel for effective operation, thus increasing the complexity. In this paper, a distributed Compressed Video Sensing codec is proposed that only makes use of CS at the encoder. A novel Side Information generation scheme is incorporated in the decoder which exploits the correlation between CS measurements of nearby frames. It is much simpler than other schemes found in the literature and yet effective. Simulation results demonstrate that effective video coding can be achieved using this codec.
基于压缩感知的分布式视频编码
压缩感知(CS)是一种信号采集的新方法,它可以让我们设计非常简单的视频编码器,可以在资源有限的移动设备上实现。然而,先前提出的基于CS的视频编解码器要么需要传统的视频编解码器,要么需要反馈通道才能有效运行,从而增加了复杂性。本文提出了一种仅在编码器上利用CS的分布式压缩视频传感编解码器。在解码器中引入了一种新的边信息生成方案,该方案利用了附近帧的CS测量值之间的相关性。它比文献中发现的其他方案简单得多,但却有效。仿真结果表明,该编解码器可以实现有效的视频编码。
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