Universal Multimedia Access (UMA) is a vision that has been haunting the researchers in the multimedia community for quite some time. In multimedia frameworks, content adaptation is the core concept to enable UMA such that any users/devices can transparently access any multimedia content anytime and anywhere. In the last few years, many multimedia adaptation engines were developed either for contextual adaptation of the multimedia resource to satisfy user preferences and technical limitations or for semantic adaptation of the multimedia content. This latter target the owner by protecting the intellectual property rights of his work (e.g scene2 should not be removed), the provider by expressing his access control policy at the object level of the multimedia content (e.g a teenager cannot access violent scenes) and the user by providing him the adapted content according to his requirements (e.g don’t show bloody scenes). Nevertheless, none of the content adaptation engine (ADTE) presented in the literature developed an adaptation decision taking engine that handles both contextual and semantic restrictions.
The main contribution of this thesis is to develop an ADTE that provides a secure visualization of the multimedia content with respect to the owner restrictions and user requirements while preserving the semantic integrity of the adapted content. In this talk, I will start with a use case to put forward my contribution and motivate this work. In the second part of the talk, I will present and discuss the workflow of the adaptation process proposed so far.