Seamless service composition (SeSCo) in pervasive environments
Proceedings of the first ACM international workshop on Multimedia service composition
Dynamic Service Composition in Pervasive Computing
IEEE Transactions on Parallel and Distributed Systems
A Collaborative Filtering Approach to Personalized Interactive Entertainment using MPEG-21
Proceedings of the 2007 conference on Emerging Artificial Intelligence Applications in Computer Engineering: Real Word AI Systems with Applications in eHealth, HCI, Information Retrieval and Pervasive Technologies
Resource adaptive hierarchical organization in pervasive environments
COMSNETS'09 Proceedings of the First international conference on COMmunication Systems And NETworks
Client-centric usage environment adaptation using MPEG-21
Journal of Mobile Multimedia
Context-aware service composition for mobile network environments
UIC'07 Proceedings of the 4th international conference on Ubiquitous Intelligence and Computing
Scalable multimedia delivery with QoS management in pervasive computing environment
The Journal of Supercomputing
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Digital multimedia has gained popularity due to the huge success of the Internet. Users acquire and disseminate multimedia information using different types of devices and communication channels. On the other hand, personal devices such as laptops, PDAs and smart phones, are not only capable of producing and rendering multimedia, but also support associated computing and communication tasks. However, there is a lack of support for ensuring automated, continuous access to multimedia in the presence of dynamicity and heterogeneity. Pervasive computing concepts can be effectively employed to provide anytime anywhere multimedia support to users over heterogeneous wireless environments. In this paper, we present a novel approach to support adaptive services for multimedia delivery in heterogeneous wireless networks. The service adaptation and composition mechanism exploits the middleware tools developed for pervasive information communities of software agents. We also demonstrate the feasibility of the proposed scheme through an intuitive scenario, and present our prototype results.