The vision of Universal Multimedia Access (UMA) has driven research in the multimedia community for a long time. Implementing content adaptation frameworks to satisfy heterogeneous types of constraints is among the main requirements for UMA. At the core of such framework lies the adaptation decision taking engine that computes appropriate adaptation plans. Though much research has already been done in this domain, the problem of semantic constraints has generally been neglected.
In my thesis, I address the problem of selecting the optimal adaptation operation to satisfy semantic constraints while maximizing the utility of the adapted video. In this talk, I will present in detail the utility function that I defined so.