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Designing an intelligent user interface for instructional video indexing and browsing
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Source International Conference on Intelligent User Interfaces archive
Proceedings of the 11th international conference on Intelligent user interfaces table of contents
Sydney, Australia
SESSION: Short papers table of contents
Pages: 318 - 320  
Year of Publication: 2006
ISBN:1-59593-287-9
Authors
Lijun Tang  Columbia University, New York, NY
John R. Kender  Columbia University, New York, NY
Sponsors
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
ACM: Association for Computing Machinery
SIGART: ACM Special Interest Group on Artificial Intelligence
Publisher
ACM  New York, NY, USA
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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.



Collaborative Colleagues:
Lijun Tang: colleagues
John R. Kender: colleagues