{"title":"Towards an inter-observer analysis framework for multimedia quality assessment","authors":"U. Engelke, Yohann Pitrey, P. Callet","doi":"10.1109/QoMEX.2011.6065700","DOIUrl":null,"url":null,"abstract":"In multimedia quality assessment, observer ratings are typically averaged into mean opinion scores (MOS) to obtain a subjective ground truth for a set of stimuli. Valuable information about individual observer rating behaviour and inter-observer differences is lost that can be useful to improve subjective experiment procedures and quality of experience prediction models. In this paper, we present an inter-observer analysis framework that addresses quality assessment from a different angle, setting the focus on observer differences rather than stimuli differences. The framework consists of procedures for inter-observer analysis as well as the necessary considerations during preparation and post-processing. The aim of this paper is to raise awareness that consideration of MOS alone simplifies quality assessment too much in the context of multimedia quality assessment.","PeriodicalId":6441,"journal":{"name":"2011 Third International Workshop on Quality of Multimedia Experience","volume":"28 1","pages":"183-188"},"PeriodicalIF":0.0000,"publicationDate":"2011-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 Third International Workshop on Quality of Multimedia Experience","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/QoMEX.2011.6065700","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7
Abstract
In multimedia quality assessment, observer ratings are typically averaged into mean opinion scores (MOS) to obtain a subjective ground truth for a set of stimuli. Valuable information about individual observer rating behaviour and inter-observer differences is lost that can be useful to improve subjective experiment procedures and quality of experience prediction models. In this paper, we present an inter-observer analysis framework that addresses quality assessment from a different angle, setting the focus on observer differences rather than stimuli differences. The framework consists of procedures for inter-observer analysis as well as the necessary considerations during preparation and post-processing. The aim of this paper is to raise awareness that consideration of MOS alone simplifies quality assessment too much in the context of multimedia quality assessment.