• 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