Dynamic programming based adaptation of multimedia contents in UMA

Abstract

Content adaptation is an effective solution to support the quality of service for multimedia services over heterogeneous networks. This paper deals with the accuracy and the real-time processing, two important issues in making decision on content adaptation. We present the content adaptation as a constrained optimization problem, considering both modality conversion and content scaling. To this problem, we propose an optimal algorithm and a fast approximation based on the Viterbi algorithm of dynamic programming. Through experiments, we show that the proposed algorithms can enable accurate adaptation decisions and can support the real-time requirement.