Scalable, Adaptive Streaming for Nonlinear Media

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http://doi.ieeecomputersociety.org/10.1109/MMUL.2007.63

July-September 2007 (vol. 14 no. 3) pp. 68-83

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	Ketan Mayer-Patel, David Gotz, "Scalable, Adaptive Streaming for Nonlinear Media," IEEE MultiMedia, vol. 14, no. 3, pp. 68-83, July-September, 2007.

	BibTex	x
	@article{ 10.1109/MMUL.2007.63, author = {Ketan Mayer-Patel and David Gotz}, title = {Scalable, Adaptive Streaming for Nonlinear Media}, journal ={IEEE MultiMedia}, volume = {14}, number = {3}, issn = {1070-986X}, year = {2007}, pages = {68-83}, doi = {http://doi.ieeecomputersociety.org/10.1109/MMUL.2007.63}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - MGZN JO - IEEE MultiMedia TI - Scalable, Adaptive Streaming for Nonlinear Media IS - 3 SN - 1070-986X SP68 EP83 EPD - 68-83 A1 - Ketan Mayer-Patel, A1 - David Gotz, PY - 2007 KW - nonlinear media KW - scalable streaming KW - adaptation VL - 14 JA - IEEE MultiMedia ER -

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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