Content personalization and adaptation for three-screen services

Three-screen services provide the right solution for consumers to access rich multimedia resources by any device, anytime and anywhere. In this paper, we describe a prototype system of content personalization and adaptation for three-screen services. The system continuously acquires content from TV broadcast feeds, indexes and adapts the content for users according to their interests defined in preference profiles. Automatically compiled segments of content can be rendered on a variety of devices that the customers prefer to facilitate a smoother video consuming experience. Simulation results show that the proposed content analysis modules, including shot boundary detection, anchorperson detection, and multimodal story segmentation are effective. The resulting personalized content is suitable for consumption on devices with limited input capabilities.