Our central claim is that user interactions with everyday productivity applications (e.g., word processors, Web browsers, etc.) provide rich contextual information that can be lev...
The FRAMES project is developing a system for video database search, content-based retrieval, and virtual video program synthesis. For dynamic synthesis applications, a video progr...
We describe a novel video player that uses Temporal Semantic Compression (TSC) to present a compressed summary of a movie. Compression is based on tempo which is derived from film...
This paper presents an iterative and interactive information retrieval system to search on the web using formal concept analysis (FCA). FCA provides a natural way to organise objec...
We introduce an interface for efficient video search that exploits the human ability to quickly scan visual content, after automatic retrieval has arrange the images in expected or...
Alexander G. Hauptmann, Wei-Hao Lin, Rong Yan, Jun...