Distributed content adaptation for pervasive systems

Abstract

Pervasive systems are created by introducing wireless communication into distributed multimedia systems. These systems facilitate mobile data access to applications such as health care, tourism and emergency. However new challenges have emerged that has not been adequately addressed in traditional distributed multimedia systems. In pervasive systems, data must be adapted to the user's preferences, device capabilities and network conditions. Several content adaptation techniques have been proposed to fit the data to the usage environment. In this paper we present a distributed content adaptation framework (DCAF) for distributed multimedia systems and its prototype implementation. The architecture takes into consideration client profile, network conditions, content profile (meta-data) and available adaptation services (third party software elements) to construct an optimal dynamic adaptation graph.