Planning-Based Multimedia Adaptation Services Composition for Pervasive Computing
Abstract
Content adaptation is an attractive and effective solution
to resolve the mismatch of resources and properties between the deliv-
ery 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 num-
ber 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 dis-
tributed multimedia adaptation services. The algorithm is tested in a
Distributed Content Adaptation Framework (DCAF) prototype and its
experimental result is presented.