Reducing the duration of paired-comparison experiments for visual quality assessment

Claire Mantel, Soren Forchhammer, Jari Korhonen

Research output: Chapter in Book/Report/Conference proceedingPublished conference contribution

Abstract

The subjective methodology of paired comparison is currently recognized as the most precise methodology. However, it is not widely used because it implies a larger number of assessments than other methodologies and therefore a longer test duration. In this paper we investigate how sorting algorithms can be used to decrease the duration of such experiments by selecting only a fraction of all the possible comparisons. Three methods based on the insertion sort and the binary tree algorithms are applied to paired-comparison data. Performance analysis shows interesting trade-offs between the number of comparisons and the accuracy of the results.

Original languageEnglish
Title of host publication2013 Fifth International Workshop on Quality of Multimedia Experience (QoMEX)
PublisherIEEE Press
Pages50-51
Number of pages2
ISBN (Electronic)978-1-4799-0738-0
DOIs
Publication statusPublished - 2013
Event2013 5th International Workshop on Quality of Multimedia Experience, QoMEX 2013 - Klagenfurt am Worthersee, Austria
Duration: 5 Jul 20137 Jul 2013

Conference

Conference2013 5th International Workshop on Quality of Multimedia Experience, QoMEX 2013
Country/TerritoryAustria
CityKlagenfurt am Worthersee
Period5/07/137/07/13

Keywords

  • Paired comparison
  • Statistical model
  • Subjective methodology

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