{"title":"感知视频质量维度的直接缩放和质量预测","authors":"F. Schiffner, S. Möller","doi":"10.1109/QoMEX.2018.8463431","DOIUrl":null,"url":null,"abstract":"This paper reports the further investigation of the perceptual quality space for video degradations [1], [2]. First, a new method is presented for directly assessing the identified perceptual quality dimensions. This method makes it possible to assess more test conditions in the same time, due to the reduced experimental effort. We tested this method in an user experiment. The method itself as well as the results are presented. Besides the rating of the perceptual quality dimensions, the test participants are also asked to rate the overall quality of the video. This allows drawing conclusions of the composition of the underlying quality dimensions to form overall quality for video. Second, an overall quality prediction model on the basis of the before investigated perceptual dimensions is presented. The results of the model are compared to the ratings obtained from subjective testing.","PeriodicalId":6618,"journal":{"name":"2018 Tenth International Conference on Quality of Multimedia Experience (QoMEX)","volume":"25 1","pages":"1-3"},"PeriodicalIF":0.0000,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Direct Scaling & Quality Prediction for perceptual Video Quality Dimensions\",\"authors\":\"F. Schiffner, S. Möller\",\"doi\":\"10.1109/QoMEX.2018.8463431\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper reports the further investigation of the perceptual quality space for video degradations [1], [2]. First, a new method is presented for directly assessing the identified perceptual quality dimensions. This method makes it possible to assess more test conditions in the same time, due to the reduced experimental effort. We tested this method in an user experiment. The method itself as well as the results are presented. Besides the rating of the perceptual quality dimensions, the test participants are also asked to rate the overall quality of the video. This allows drawing conclusions of the composition of the underlying quality dimensions to form overall quality for video. Second, an overall quality prediction model on the basis of the before investigated perceptual dimensions is presented. The results of the model are compared to the ratings obtained from subjective testing.\",\"PeriodicalId\":6618,\"journal\":{\"name\":\"2018 Tenth International Conference on Quality of Multimedia Experience (QoMEX)\",\"volume\":\"25 1\",\"pages\":\"1-3\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 Tenth International Conference on Quality of Multimedia Experience (QoMEX)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/QoMEX.2018.8463431\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 Tenth International Conference on Quality of Multimedia Experience (QoMEX)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/QoMEX.2018.8463431","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Direct Scaling & Quality Prediction for perceptual Video Quality Dimensions
This paper reports the further investigation of the perceptual quality space for video degradations [1], [2]. First, a new method is presented for directly assessing the identified perceptual quality dimensions. This method makes it possible to assess more test conditions in the same time, due to the reduced experimental effort. We tested this method in an user experiment. The method itself as well as the results are presented. Besides the rating of the perceptual quality dimensions, the test participants are also asked to rate the overall quality of the video. This allows drawing conclusions of the composition of the underlying quality dimensions to form overall quality for video. Second, an overall quality prediction model on the basis of the before investigated perceptual dimensions is presented. The results of the model are compared to the ratings obtained from subjective testing.