采用多相下采样多重描述实现IP传输视频编码

M. Caramma, M. Fumagalli, R. Lancini
{"title":"采用多相下采样多重描述实现IP传输视频编码","authors":"M. Caramma, M. Fumagalli, R. Lancini","doi":"10.1109/EURCON.2001.938137","DOIUrl":null,"url":null,"abstract":"When transmitting data over heterogeneous networks, there may be situations which necessitate dropping packets, for example, to accommodate a lower capacity or when congestion occurs. If retransmission of the lost packets is not feasible (e.g. for real time applications), we have to design a decoder able to recover significant information from the received packets. The literature suggests resolving this issue by using generalized multiple description coding (GMDC): it is source coding for multiple channels such that a decoder, which receives an arbitrary subset of the channels, may produce a useful reconstruction. In this work, we present a multiple description (MD) system based on a polyphase downsampling algorithm that splits an image source into an arbitrary number of balanced descriptions. Our goal is to obtain both the best reconstruction quality from the received descriptions (also only one) and a subjective indistinguishable reconstruction from the original if all the descriptions are available. Our specific interest is the communication of still images, but we think that our method is advantageous in other application such as video and audio.","PeriodicalId":205662,"journal":{"name":"EUROCON'2001. International Conference on Trends in Communications. Technical Program, Proceedings (Cat. No.01EX439)","volume":"418 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2001-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Video coding for IP transmission by using polyphase downsampling multiple description\",\"authors\":\"M. Caramma, M. Fumagalli, R. Lancini\",\"doi\":\"10.1109/EURCON.2001.938137\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"When transmitting data over heterogeneous networks, there may be situations which necessitate dropping packets, for example, to accommodate a lower capacity or when congestion occurs. If retransmission of the lost packets is not feasible (e.g. for real time applications), we have to design a decoder able to recover significant information from the received packets. The literature suggests resolving this issue by using generalized multiple description coding (GMDC): it is source coding for multiple channels such that a decoder, which receives an arbitrary subset of the channels, may produce a useful reconstruction. In this work, we present a multiple description (MD) system based on a polyphase downsampling algorithm that splits an image source into an arbitrary number of balanced descriptions. Our goal is to obtain both the best reconstruction quality from the received descriptions (also only one) and a subjective indistinguishable reconstruction from the original if all the descriptions are available. Our specific interest is the communication of still images, but we think that our method is advantageous in other application such as video and audio.\",\"PeriodicalId\":205662,\"journal\":{\"name\":\"EUROCON'2001. International Conference on Trends in Communications. Technical Program, Proceedings (Cat. No.01EX439)\",\"volume\":\"418 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2001-07-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"EUROCON'2001. International Conference on Trends in Communications. Technical Program, Proceedings (Cat. No.01EX439)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/EURCON.2001.938137\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"EUROCON'2001. International Conference on Trends in Communications. Technical Program, Proceedings (Cat. No.01EX439)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EURCON.2001.938137","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7

摘要

在异构网络上传输数据时,可能会出现需要丢弃数据包的情况,例如,为了适应较低的容量或发生拥塞时。如果重新传输丢失的数据包是不可实现的(例如,对于实时应用程序),我们必须设计一个能够从接收到的数据包中恢复重要信息的解码器。文献建议通过使用广义多重描述编码(GMDC)来解决这个问题:它是多个信道的源编码,这样一个接收任意信道子集的解码器可以产生有用的重建。在这项工作中,我们提出了一个基于多相下采样算法的多重描述(MD)系统,该系统将图像源拆分为任意数量的平衡描述。我们的目标是从接收到的描述(也只有一个)中获得最佳的重建质量,并且在所有描述都可用的情况下获得与原始的主观无法区分的重建。我们的具体兴趣是静止图像的通信,但我们认为我们的方法在视频和音频等其他应用中是有利的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Video coding for IP transmission by using polyphase downsampling multiple description
When transmitting data over heterogeneous networks, there may be situations which necessitate dropping packets, for example, to accommodate a lower capacity or when congestion occurs. If retransmission of the lost packets is not feasible (e.g. for real time applications), we have to design a decoder able to recover significant information from the received packets. The literature suggests resolving this issue by using generalized multiple description coding (GMDC): it is source coding for multiple channels such that a decoder, which receives an arbitrary subset of the channels, may produce a useful reconstruction. In this work, we present a multiple description (MD) system based on a polyphase downsampling algorithm that splits an image source into an arbitrary number of balanced descriptions. Our goal is to obtain both the best reconstruction quality from the received descriptions (also only one) and a subjective indistinguishable reconstruction from the original if all the descriptions are available. Our specific interest is the communication of still images, but we think that our method is advantageous in other application such as video and audio.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
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