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Advances in Multimedia
Volume 2008, Article ID 628970, 13 pages
Research Article

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

1Media Technology Group, Institute of Communication Networks, Munich University of Technology, Munich 80333, Germany
2Vidyo Inc., Hackensack, NJ 07601, USA

Received 11 May 2007; Accepted 14 September 2007

Academic Editor: Zhu Li

Copyright © 2008 Wei Tu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


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.