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Scalable, Adaptive Streaming for Nonlinear Media
July-September 2007 (vol. 14 no. 3)
pp. 68-83
Ketan Mayer-Patel, University of North Carolina at Chapel Hill
David Gotz, IBM T.J. Watson Research Center
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. 3, pp. 68-83, July-Sept. 2007, doi:10.1109/MMUL.2007.63
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