Video Content Personalization for IPTV Services

IPTV customers will have access to thousands of video content sources and will require powerful yet intuitive tools to locate desired content. We propose a solution based on stored user interest profiles and multimodal processing for content segmentation to produce manageable content subsets for users. Segmentation involves part-of-speech tagging on extracted closedcaption text combined with video shot boundary detection. Query relevance ranking with temporal and other metadata constraints is used to form timely, focused content sets for users. We present a fully automated end-to-end system including standard definition video acquisition, media processing for segmentation, a content storage and retrieval subsystem, and content presentation via a user interface designed for set-tops requiring only a simple remote control for browsing.