Advanced delivery of sensitive multimedia content for better serving user expectations in Virtual Collaboration applications

Abstract

Abstract.A major challenge when accessing protected multimedia content in heterogeneous usage environments is the ability to provide acceptable levels of quality of experience to all involving users. Additionally, different levels of protection should be possible to be addressed when manipulating the content towards the quality of experience maximization. This paper describes the use of a context-aware and Digital Rights Management (DRM)-enabled content adaptation platform towards meeting these challenges. The platform was conceived to deliver advanced content adaptation within different application scenarios, among which Virtual Collaboration (VC) was central. Descriptions of use cases implemented by the platform in heterogeneous VC environments are provided. Conducted experiments have highlighted the benefits to users when compared to an operation without the platform. Results of different adaptations suitable to sensed context conditions are also provided and analyzed. A brief description of the platform functionality is included together with pointers to additional information.

Context-aware media recommendations for smart devices

“…MULTICAO provides Adaptation Decision Engine (ADE) responsible for adaptation reasoning and decision-making services. It also provides a set of Adaptation Engine operation services responsible for executing adaptation of media content, such as modification of the content into different modalities such as text, video, or images depending on the device and network constraints (Andrade et. al.…”

Context-aware Application User Experience Manipulation

“…We segment a web page, removing low priority content to ease usage for users accessing the application through smaller screens [15]. Also, we check the mobile network quality and provide adaptive media elements [16] for better experience and scale down or scale up their qualities according to requirement [17].…”

Context-Aware Media Recommendations

“…MULTICAO was developed using OWL DL with adequate provision for adaptation decisions relying on various rules based reasoning mechanisms that support the automatic inference over adaptation decision knowledge base. MULTICAO provides ADAPTATION Decision Engine (ADE), which is responsible for adaptation reasoning and decision-taking services, and a set of Adaptation Engine operation services, responsible for carrying out adaptation of media content, such as modification of the content into different modalities such as text, video, or images depending on the device and network constraints [11].…”