Exploiting content-based networking for fine granularity multireceiver video streaming
Viktor S. Wold Eide, Frank Eliassen, Jørgen Andreas Michaelsen · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2005
Efficient delivery of video data over computer networks has been studied extensively for decades. Still, multi-receiver video delivery represents a challenge. The challenge is complicated by heterogeneity in network availability, end node capabilities, and receiver preferences. This paper demonstrates that content-based networking is a promising technology for efficient multi-receiver video streaming. The contribution of this work is the bridging of content-based networking with techniques from the fields of video compression and streaming. In the presented approach, each video receiver is provided with fine grained selectivity along different video quality dimensions, such as region of interest, signal to noise ratio, colors, and temporal resolution. Efficient delivery, in terms of network utilization and end node processing requirements, is maintained. A prototype is implemented in the Java programming language and the software is available as open source. Experimental results are presented which demonstrate the feasibility of our approach.