DocumentCode :
2921879
Title :
Task-based subject validation: Reliability metrics
Author :
Janowski, Lucjan
Author_Institution :
AGH Univ. of Sci. & Technol., Kraków, Poland
fYear :
2012
fDate :
5-7 July 2012
Firstpage :
182
Lastpage :
187
Abstract :
The quality obtained from a CCTV or a telemedicine system has to be good enough to correctly and with high probability recognize a face or a medical pathology. In order to measure “good enough” term subjective experiments are used. One of the problems related to subjective experiment data analysis is the subjects´ reliability or, more precisely, each individual subject´s reliability. In this paper two metrics which can be used to detect unreliable subjects in case of a task-based subjective experiment are presented. A task-based subjective experiment is an experiment in which a subject performs a task (recognizes a person, characters, pathology, etc.). In this paper metrics enabling measurement of a subject´s reliability are referred to as reliability metrics. Reliability metrics should be considered as a part of a standard of a task based subjective experiment like ITU P.912 [1].
Keywords :
data analysis; face recognition; object recognition; reliability; CCTV; ITU P.912; face recognition; medical pathology; object recognition; reliability metrics; subjective experiment data analysis; task-based subject validation; task-based subjective experiment; telemedicine system; Character recognition; Histograms; Logistics; Measurement; Object recognition; Pathology; Reliability; Subject validation; reliability metrics; subjective experiment; task-based;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Quality of Multimedia Experience (QoMEX), 2012 Fourth International Workshop on
Conference_Location :
Yarra Valley, VIC
Print_ISBN :
978-1-4673-0724-6
Electronic_ISBN :
978-1-4673-0725-3
Type :
conf
DOI :
10.1109/QoMEX.2012.6263863
Filename :
6263863
Link To Document :
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