Uncovering Activity and Patterns in Video using Slit-Tear Visualizations

Tang, A., Lanir, J., Greenberg, S. and Fels, S. (2008)
Uncovering Activity and Patterns in Video using Slit-Tear Visualizations. Research report 2008-08, Department of Computer Science, University of British Columbia (UBC), Vancouver, BC, Canada, July 31.

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Abstract

In prior work, we introduced a visualization technique for analyzing fixed position video streams called slit-tear visualizations. This technique supports exploratory data analysis by interactively generating views about the video stream that can provide insight into the spatial/temporal relationships of the entities contained within. These insights are necessarily grounded in context of the specific video being analyzed, and in this paper, we provide a general typology of the kinds of slit-tears an analyst may use. Further, we discuss the kinds of analytic primitives that often signal relevant events given these slit-tear types. The work is relevant to human-centered computing because the technique provides the most insight in the presence of human interpretation.

Bibtex entry

@TECHREPORT { 2008-SlitTearActivity.TR-2008-08,
CLASS = { REPORT },
AUTHOR = { Tang, A. and Lanir, J. and Greenberg, S. and Fels, S. },
TITLE = { Uncovering Activity and Patterns in Video using Slit-Tear Visualizations },
YEAR = { 2008 },
MONTH = { July 31 },
PAGES = { 8 },
INSTITUTION = { Department of Computer Science, University of British Columbia (UBC) },
ADDRESS = { Vancouver, BC, Canada },
NUMBER = { 2008-08 },
}