Designing an intelligent user interface for instructional video indexing and browsing

Authors:
Lijun Tang;John R. Kender
Affiliations:
Columbia University, New York, NY;Columbia University, New York, NY
Venue:
Proceedings of the 11th international conference on Intelligent user interfaces
Year:
2006

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Abstract

Instructional videos are used intensively in universities for remote education and e-learning, and a typical university course consists of videos of more than two thousand minutes in total length. This paper presents a novel graphics user interface for indexing and browsing such extensive but thematically related content. We present how the interface automatically extracts semantic indices from the visual content, and then presents both high- and low-level cues from five different conceptual viewpoints. We detail each of these novel UI units, and show how they are integrated into a user-adjustable main framework, and interconnected and navigated through user mouse events.