Title :
Scalable, Adaptive Streaming for Nonlinear Media
Author :
Mayer-Patel, Ketan ; Gotz, David
Author_Institution :
Univ. of North Carolina, Chapel Hill
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.
Keywords :
data visualisation; media streaming; multimedia computing; ubiquitous computing; adaptive streaming; channel set adaptation; interactive data access; interactive nonlinear media objects; visualization databases; Application software; Delay; Games; Internet; Layout; Multimedia communication; Protocols; Space exploration; Standards development; Streaming media; adaptation; nonlinear media; scalable streaming;
Journal_Title :
MultiMedia, IEEE
DOI :
10.1109/MMUL.2007.63
