Rate-Distortion Optimized Frame Dropping for Multiuser Streaming and Conversational Videos

被引：3

作者：

Tu, Wei ^{[1
]}

Chakareski, Jacob ^{[2
]}

Steinbach, Eckehard ^{[1
]}

机构：

[1] Tech Univ Munich, Inst Commun Networks, Media Technol Grp, D-80333 Munich, Germany

[2] Vidyo Inc, Hackensack, NJ 07601 USA

来源：

ADVANCES IN MULTIMEDIA | 2008年 / 2008卷

关键词：

D O I：

10.1155/2008/628970

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

We consider rate-distortion optimized strategies for dropping frames from multiple conversational and streaming videos sharing limited network node resources. The dropping strategies are based on side information that is extracted during encoding and is sent along the regular bitstream. The additional transmission overhead and the computational complexity of the proposed frame dropping schemes are analyzed. Our experimental results show that a significant improvement in end-to-end performance is achieved compared to priority-based random early dropping. Copyright (C) 2008 Wei Tu et al.

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页数：13

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