Dublin City University at TRECVID 2008

In this paper we describe our system and experiments performed for both the automatic search task and the event detection task in TRECVid 2008. For the automatic search task for 2008 we submitted 3 runs utilizing only visual retrieval experts, continuing our previous work in examining techniques for query-time weight generation for data-fusion and determining what we can get from global visual only experts. For the event detection task we submitted results for 5 required events (ElevatorNoEntry, OpposingFlow, PeopleMeet, Embrace and PersonRuns) and 1 optional event (DoorOpenClose)

Balancing simplicity and functionality in designing user-interface for an interactive TV

Recent computer vision and content-based multimedia techniques such as scene segmentation, face detection, searching through video clips, and video summarisation are potentially useful tools in enhancing the usefulness of an interactive TV (iTV). However, the technical nature and the relative immaturity of these tools means it is difficult to represent new functionalities afforded by these techniques in an easy-to-use manner on a TV interface where simplicity is critical and the viewers are not necessarily proficient in using advanced or highly-sophisticated interaction using a remote control. By introducing multiple layers of interaction sophistication and the unobtrusive semi-transparent panels that can be immediately invoked without menu hierarchy or complex sequence of actions, we developed an iTV application featuring powerful content retrieval techniques yet providing a streamlined and simple interface that gracefully leverages these techniques. Initial version of the interface is ready for demonstration

Description analytique de la posture du corps humain pour l'indexation vidéo

TOULOUSE3-BU Sciences (315552104) / SudocSudocFranceF