Title
Computer image retrieval by features: suspect identification
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.
Year
DOI
Venue
1993
10.1145/169059.169435
INTERCHI
Keywords
Field
DocType
computer image retrieval,suspect identification,known offender,system performance measure,identification performance,system design,correct suspect identification,identification success,computer simulation,feature approach,feature retrieval,information retrieval,feature quality,tolerance performance,image retrieval,system performance
Information retrieval,Computer science,Systems design,Image retrieval,Witness,Suspect,Multimedia,Visual Word
Conference
ISBN
Citations 
PageRank 
90-5199-133-9
10
6.18
References 
Authors
1
2
Name
Order
Citations
PageRank
Eric S. Lee12011.90
Thomas Whalen211532.39