Spatio-temporal interest points for video analysis

Authors:
Ramsin Khoshabeh;James D. Hollan
Affiliations:
Univeristy of California, San Diego, La Jolla, CA, USA;University of California, San Diego, La Jolla, CA, USA
Venue:
CHI '09 Extended Abstracts on Human Factors in Computing Systems
Year:
2009

Citing 5
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Abstract

In this paper, we discuss the need for an effective representation of video data to aid analysis of large datasets of video clips and describe a prototype developed to explore the use of spatio-temporal interest points for action recognition. Our focus is on ways that computation can assist analysis.