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Issue No. 03 - July-September (2007 vol. 14)
ISSN: 1070-986X
pp: 68-83
Ketan Mayer-Patel , University of North Carolina at Chapel Hill
David Gotz , IBM T.J. Watson Research Center
ABSTRACT
Streaming linear media objects has become ubiquitous on today's Internet. Interactive, nonlinear media objects, such as large 3D models and visualization databases, have proven difficult to stream. The Channel Set Adaptation (CSA) framework lets clients request custom data flows for interactive applications using standard broadcast or multicast join and leave operations. CSA scales to support large user groups while providing interactive data access to clients.
INDEX TERMS
nonlinear media, scalable streaming, adaptation
CITATION
Ketan Mayer-Patel, David Gotz, "Scalable, Adaptive Streaming for Nonlinear Media", IEEE MultiMedia, vol. 14, no. , pp. 68-83, July-September 2007, doi:10.1109/MMUL.2007.63
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