Sharing video browsing style by associating browsing behavior with low-level features of videos

Authors:
Akio Takashima;Yuzuru Tanaka
Affiliations:
Meme Media Laboratory, Sapporo, Hokkaido, Japan;Meme Media Laboratory, Sapporo, Hokkaido, Japan
Venue:
HCI'07 Proceedings of the 12th international conference on Human-computer interaction: intelligent multimodal interaction environments
Year:
2007

Citing 7
Cited 1

Semantic analysis for video contents extraction—spotting by association in news video

MULTIMEDIA '97 Proceedings of the fifth ACM international conference on Multimedia
Learning user's preferences by analyzing Web-browsing behaviors

AGENTS '00 Proceedings of the fourth international conference on Autonomous agents
Knowledge management systems: issues, challenges, and benefits

Communications of the AIS
Learning video browsing behavior and its application in the generation of video previews

MULTIMEDIA '01 Proceedings of the ninth ACM international conference on Multimedia
Meme Media and Meme Market Architectures: Knowledge Media for Editing, Distributing, and Managing Intellectual Resources

Meme Media and Meme Market Architectures: Knowledge Media for Editing, Distributing, and Managing Intellectual Resources
The landscape of time-based visual presentation primitives for richer video experience

INTERACT'05 Proceedings of the 2005 IFIP TC13 international conference on Human-Computer Interaction
Automatic soccer video analysis and summarization

IEEE Transactions on Image Processing

Reusing and Composing Habitual Behavior in Video Browsing

Proceedings of the 2008 conference on Information Modelling and Knowledge Bases XIX

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper focuses on a method to extract video browsing styles and reusing it. In video browsing process for knowledge work, users often develop their own browsing styles to explore the videos because the domain knowledge of contents is not enough, and then the users interact with videos according to their browsing style. The User Experience Reproducer enables users to browse new videos according to their own browsing style or other users' browsing styles. The preliminary user studies show that video browsing styles can be reused to other videos.