{"title":"估计感知的视听和多媒体质量-一项调查","authors":"U. Reiter, Junyong You","doi":"10.1109/ISCE.2010.5523728","DOIUrl":null,"url":null,"abstract":"Objective metrics are widely used to estimate the perceived quality of audio and video content in consumer electronics applications. Although a number of such metrics exist, they have all been developed for the unimodal case — cross-modal interaction, i.e. the influence of video on audio and vice versa, is not considered by these metrics. We give an overview on these, and summarize human audiovisual perception in light of modeling cross-modal interaction. Factors that influence perceived quality, e.g. attention, are discussed.","PeriodicalId":403652,"journal":{"name":"IEEE International Symposium on Consumer Electronics (ISCE 2010)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Estimating perceived audiovisual and multimedia quality — a survey\",\"authors\":\"U. Reiter, Junyong You\",\"doi\":\"10.1109/ISCE.2010.5523728\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Objective metrics are widely used to estimate the perceived quality of audio and video content in consumer electronics applications. Although a number of such metrics exist, they have all been developed for the unimodal case — cross-modal interaction, i.e. the influence of video on audio and vice versa, is not considered by these metrics. We give an overview on these, and summarize human audiovisual perception in light of modeling cross-modal interaction. Factors that influence perceived quality, e.g. attention, are discussed.\",\"PeriodicalId\":403652,\"journal\":{\"name\":\"IEEE International Symposium on Consumer Electronics (ISCE 2010)\",\"volume\":\"16 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-06-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE International Symposium on Consumer Electronics (ISCE 2010)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISCE.2010.5523728\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE International Symposium on Consumer Electronics (ISCE 2010)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISCE.2010.5523728","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Estimating perceived audiovisual and multimedia quality — a survey
Objective metrics are widely used to estimate the perceived quality of audio and video content in consumer electronics applications. Although a number of such metrics exist, they have all been developed for the unimodal case — cross-modal interaction, i.e. the influence of video on audio and vice versa, is not considered by these metrics. We give an overview on these, and summarize human audiovisual perception in light of modeling cross-modal interaction. Factors that influence perceived quality, e.g. attention, are discussed.