Paper
27 December 1999 Framework for adaptive content delivery in heterogeneous network environments
Wei-Ying Ma, Ilja Bedner, Grace Chang, Allan Kuchinsky, HongJiang Zhang
Author Affiliations +
Proceedings Volume 3969, Multimedia Computing and Networking 2000; (1999) https://doi.org/10.1117/12.373537
Event: Electronic Imaging, 2000, San Jose, CA, United States
Abstract
The explosive growth of the Internet has come with increasing diversity and heterogeneity in terms of client device capability, network bandwidth, and user preferences. To date, most Web content has been designed with desktop computers in mind, and often contains rich media such as images, audio, and video. In many cases, this content is not suitable for devices like netTVs, handheld computers, personal digital assistants, and smart phones with relatively limited display capability, storage, processing power, and network access. Thus, Internet access is still constrained on these devices and there is a need to develop alternative approaches for information delivery. In this paper, we propose a framework for adaptive content delivery in heterogeneous environments. The goal is to improve content accessibility and perceived quality of service for information access under changing network and viewer conditions. The framework includes content adaptation algorithms, client capability and network bandwidth discovery methods, and a Decision Engine for determining when and how to adapt content. We describe this framework, initial system implementations based upon this framework, and the issues associated with the deployment of such systems based on different architectures.
© (1999) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Wei-Ying Ma, Ilja Bedner, Grace Chang, Allan Kuchinsky, and HongJiang Zhang "Framework for adaptive content delivery in heterogeneous network environments", Proc. SPIE 3969, Multimedia Computing and Networking 2000, (27 December 1999); https://doi.org/10.1117/12.373537
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CITATIONS
Cited by 90 scholarly publications and 8 patents.
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KEYWORDS
Internet

Video

Data conversion

Transform theory

Computing systems

Data modeling

Control systems

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