Intelligent broadcasting system and services for personalized semantic contents consumption

Currently, digital broadcasting tends to personalize the TV watching environment by offering services that can adapt to viewer preferences. In this paper, an intelligent broadcasting system for enhanced personalized-services, based on the semantics of broadcasting contents, is proposed. To implement the system, the MPEG-7 and TV-Anytime Forum (TVAF), as well as agent technology, are employed. For content-level services, real-time content filtering, personalized video skimming, and content-based retrieval using audio characteristic are implemented. To verify the usefulness of the proposed system, we demonstrate it with a test-bed on which content-level personalized services are implemented 1 1 This work was supported in part by the SmarTV project of the Ministry of Information and Communication, Republic of Korea. .