Huiyu Duan, Guangtao Zhai, Xiaokang Yang, Duo Li, Wenhan Zhu
{"title":"IVQAD 2017: An immersive video quality assessment database","authors":"Huiyu Duan, Guangtao Zhai, Xiaokang Yang, Duo Li, Wenhan Zhu","doi":"10.1109/IWSSIP.2017.7965610","DOIUrl":null,"url":null,"abstract":"This paper presents a new database, Immersive Video Quality Assessment Database 2017 (IVQAD 2017), intended for immersive video quality assessment in virtual reality environment. Video quality assessment (VQA) plays an important role in video research fields. Nowadays virtual reality technology have been widely used and playing videos in virtual reality visual system is becoming more and more popular. However, existing research in VQA fields mainly focus on traditional videos. In this paper, we build the IVQAD which contains 10 raw videos and 150 distorted videos. Bit rate, frame rate and resolution were considered as quality degradation factors. All the videos were encoded with MPEG-4. Subjects were asked to assess the video under virtual reality environment and mean opinion score (MOS) was derived by computing. Using IVQAD 2017, researchers can explore the influence of resolution, video compression and video packet loss on immersive videos' quality.","PeriodicalId":302860,"journal":{"name":"2017 International Conference on Systems, Signals and Image Processing (IWSSIP)","volume":"3 6","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"40","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 International Conference on Systems, Signals and Image Processing (IWSSIP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IWSSIP.2017.7965610","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 40
Abstract
This paper presents a new database, Immersive Video Quality Assessment Database 2017 (IVQAD 2017), intended for immersive video quality assessment in virtual reality environment. Video quality assessment (VQA) plays an important role in video research fields. Nowadays virtual reality technology have been widely used and playing videos in virtual reality visual system is becoming more and more popular. However, existing research in VQA fields mainly focus on traditional videos. In this paper, we build the IVQAD which contains 10 raw videos and 150 distorted videos. Bit rate, frame rate and resolution were considered as quality degradation factors. All the videos were encoded with MPEG-4. Subjects were asked to assess the video under virtual reality environment and mean opinion score (MOS) was derived by computing. Using IVQAD 2017, researchers can explore the influence of resolution, video compression and video packet loss on immersive videos' quality.
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