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|Title:||Video adaptation for stored video delivery over resource-constrained networks||Authors:||Tao, DaYong.||Keywords:||DRNTU::Engineering::Computer science and engineering::Computer systems organization::Computer-communication networks||Issue Date:||2007||Source:||Tao, D.Y. (2012). Comparison of two methods of extracting carbohydrates from microalgae. Master’s thesis, Nanyang Technological University, Singapore.||Abstract:||This project studies content adaptation and bandwidth smoothing techniques for stored video delivery over resource-constrained networks. For the content adaptation approach, we apply the digital item adaptation standard defined in the MPEG-21 multimedia framework to maximize the bandwidth resource utilization and deliver the best quality video given the constraint user environment. The bandwidth smoothing approach presents an optimal frame selection algorithm under limited channel bandwidth and constrained client buffer condition. In addition, a novel reverse frame selection algorithm has been proposed that can find all the optimal frame selection paths for different preloads by running the algorithm just once. We further extend the reverse frame selection algorithm to solve the problem of stored video delivery over bandwidth-limited and time-varying channels.||URI:||http://hdl.handle.net/10356/2465||Rights:||Nanyang Technological University||Fulltext Permission:||open||Fulltext Availability:||With Fulltext|
|Appears in Collections:||SCSE Theses|
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