Planning-Based Multimedia Adaptation Services Composition for Pervasive Computing

TLDR: An algorithm called Multimedia Adaptation Graph Generator (MAGG) is presented that composes distributed multimedia adaptation services that are tested in a Distributed Content Adaptation Framework (DCAF) prototype and its experimental result is presented.

Abstract: Content adaptation is an attractive and effective solution to resolve the mismatch of resources and properties between the delivery context and the multimedia content in heterogeneous environments. The problem with multimedia content adaptation is that there is no a single complete software solution that can satisfy all types of required adaptation needs. In order to solve this problem adaptation tools can be developed as services for example using Web Services and make them accessible via standard web protocols. Since adaptation is a multi-step process, an adaptation need can be realized as composition of a number of adaptation services. However, it becomes difficult when there are several services to realize an adaptation need which leads to different composition possibilities. In this paper we present an algorithm called Multimedia Adaptation Graph Generator (MAGG) that composes distributed multimedia adaptation services. The algorithm is tested in a Distributed Content Adaptation Framework (DCAF) prototype and its experimental result is presented.