Exploring video streams using slit-tear visualizations
Anthony Tang, Saul Greenberg, and Sidney Fels. (2009). Exploring video streams using slit-tear visualizations. In CHI EA ’09: CHI ’09 Extended Abstracts on Human Factors in Computing Systems, ACM, 3509–3510. Notes: Best Research Video Nominee.
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.
PDF File (http://hcitang.org/papers/2009-chi2009-videoshowcase-slittears.pdf)
video analysis, video visualization, video interaction, information visualization