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

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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
Publication date2013
Pages50-51
ISBN (Print)978-1-4799-0738-0
DOIs
Publication statusPublished - 2013
Event5th International Workshop on Quality of Multimedia Experience (QoMEX 2013) - Klagenfurt am Wörthersee, Austria
Duration: 3 Jul 20135 Jul 2013
http://www.qomex2013.org/

Workshop

Workshop5th International Workshop on Quality of Multimedia Experience (QoMEX 2013)
Country/TerritoryAustria
CityKlagenfurt am Wörthersee
Period03/07/201305/07/2013
Internet address

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