Exploring video streams using slit-tear visualizations

Tang, A., Greenberg, S., and Fels, S. (2009). Exploring video streams using slit-tear visualizations. In CHI EA '09: CHI '09 Extended Abstracts on Human Factors in Computing Systems, 3509--3510.

Best Research Video Nominee

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.

Materials

PDF File (http://hcitang.org/papers/2009-chi2009-videoshowcase-slittears.pdf)
Video (http://hcitang.org/papers/2009-chi2009-videoshowcase-slittears.wmv)
DOI (http://doi.acm.org/10.1145/1520340.1520516)

Keywords

video analysis, video visualization, video interaction, information visualization

BibTeX

@inproceedings{tang2009exploring,
  year = {2009},
  videourl = {http://hcitang.org/papers/2009-chi2009-videoshowcase-slittears.wmv},
  type = {video},
  title = {Exploring video streams using slit-tear visualizations},
  publisher = {ACM},
  pdfurl = {http://hcitang.org/papers/2009-chi2009-videoshowcase-slittears.pdf},
  pages = {3509--3510},
  notes = {Best Research Video Nominee},
  location = {Boston, MA, USA},
  keywords = {video analysis, video visualization, video interaction, information
visualization},
  isbn = {978-1-60558-247-4},
  doi = {http://doi.acm.org/10.1145/1520340.1520516},
  date-modified = {2014-01-17 04:53:20 +0000},
  booktitle = {CHI EA '09: CHI '09 Extended Abstracts on Human Factors in Computing
Systems},
  author = {Tang, Anthony and Greenberg, Saul and Fels, Sidney},
  address = {New York, NY, USA},
  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. },
}