Exploring video streams using slit-tear visualizations

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Exploring video streams using slit-tear visualizations

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Conference on Human Factors in Computing Systems archive
Proceedings of the 27th international conference extended abstracts on Human factors in computing systems table of contents

Boston, MA, USA

SESSION: Video showcase table of contents

Pages 3509-3510

Year of Publication: 2009

ISBN:978-1-60558-247-4

Authors

Anthony Tang	University of British Columbia, Vancouver, BC, Canada
Saul Greenberg	University of Calgary, Calgary, AB, Canada
Sidney Fels	University of British Columbia, Vancouver, BC, Canada

Sponsors

ACM: Association for Computing Machinery
SIGCHI: ACM Special Interest Group on Computer-Human Interaction

Publisher

ACM New York, NY, USA

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ABSTRACT

Slit-tear visualizations allow users to selectively visualize pixel paths in a video scene. The slit-tear visualization technique is a generalization of the traditional photographic slit-scanning and more recent video slicing techniques: after a user specifies a pixel path of interest, the system generates a timeline that replicates those pixels for each frame in the video. These rich visualizations of the video data help users to discover and explore spatio-temporal patterns of activity in a video. In this video, we illustrate the use of slit-tear visualizations to detect movement and incidence of activity in a video scene, accentuate directional motion and small changes in the video, and discover patterns of activity between spatially distinct areas of the scene.

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