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VACA: a tool for qualitative video analysis
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Source Conference on Human Factors in Computing Systems archive
CHI '06 extended abstracts on Human factors in computing systems table of contents
Montréal, Québec, Canada
SESSION: Work-in-progress table of contents
Pages: 622 - 627  
Year of Publication: 2006
ISBN:1-59593-298-4
Author
Brandon Burr  Stanford University, Stanford, CA
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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Downloads (6 Weeks): 6,   Downloads (12 Months): 30,   Citation Count: 2
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ABSTRACT

In experimental research the job of analyzing data is an extremely slow and laborious process. In particular, video and audio data of human behavior are particularly difficult to analyze, as this type of information does not lend itself to automation. Here we present VACA, an open source tool for qualitative video analysis. VACA presents video annotations on a timeline interface and integrates external sensor data to improve the rate at which analysis can be performed. A comparative study is run against traditional video analysis tools, and results are reported.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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Kipp, Michael. Anvil video annotation system. http://www.dfki.de/~kipp/anvil.
 
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Noldus, L.P., et al. The Observer Video-Pro, in Behav Res Methods, Instrum Comput 2000, 32, p. 197--206.
 
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Pea, R., et al. The DIVER Project: Interactive Digital Video Repurposing. IEEE Multimedia, 11(1), p. 54--61