| Computer image retrieval by features: suspect identification |
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Conference on Human Factors in Computing Systems
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Proceedings of the INTERACT '93 and CHI '93 conference on Human factors in computing systems
table of contents
Amsterdam, The Netherlands
Pages: 494 - 499
Year of Publication: 1993
ISBN:0-89791-575-5
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Authors
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Eric Lee
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Management Science, St. Mary's University, Halifax, NS, Canada B3H 3C3
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Thom Whalen
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Division of Behavioural Research, Communications Research Centre, 3701 Carling Avenue, Ottawa, Canada
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Downloads (6 Weeks): 7, Downloads (12 Months): 15, Citation Count: 4
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ABSTRACT
Correct suspect identification of known offenders by witnesses deteriorates rapidly as more are examined in mugshot albums. Feature approaches, where mugshots are displayed in order of similarity to witnesses' descriptions, attempt to increase identification success by reducing this number. A methodology is proposed for system design and evaluation based on experiments, computer simulations, and four classes of system performance measures: identification performance, retrieval rank, tolerance performance, and feature quality. This was used to develop a system for 640 mugshots of known offenders. In three empirical tests, over 90% of witness searches resulted in suspects retrieved in the first eight mugshots.
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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CITED BY 4
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William M. Newman, Better or just different? On the benefits of designing interactive systems in terms of critical parameters, Proceedings of the conference on Designing interactive systems: processes, practices, methods, and techniques, p.239-245, August 18-20, 1997, Amsterdam, The Netherlands
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