{"title":"VOLVQAD:一个MPEG V-PCC体积视频质量评估数据集","authors":"Samuel Rhys Cox, May Lim, Wei Tsang Ooi","doi":"10.1145/3587819.3592543","DOIUrl":null,"url":null,"abstract":"We present VOLVQAD, a volumetric video quality assessment dataset consisting 7,680 ratings on 376 video sequences from 120 participants. The volumetric video sequences are first encoded with MPEG V-PCC using 4 different avatar models and 16 quality variations, and then rendered into test videos for quality assessment using 2 different background colors and 16 different quality switching patterns. The dataset is useful for researchers who wish to understand the impact of volumetric video compression on subjective quality. Analysis of the collected data are also presented in this paper.","PeriodicalId":330983,"journal":{"name":"Proceedings of the 14th Conference on ACM Multimedia Systems","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"VOLVQAD: An MPEG V-PCC Volumetric Video Quality Assessment Dataset\",\"authors\":\"Samuel Rhys Cox, May Lim, Wei Tsang Ooi\",\"doi\":\"10.1145/3587819.3592543\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We present VOLVQAD, a volumetric video quality assessment dataset consisting 7,680 ratings on 376 video sequences from 120 participants. The volumetric video sequences are first encoded with MPEG V-PCC using 4 different avatar models and 16 quality variations, and then rendered into test videos for quality assessment using 2 different background colors and 16 different quality switching patterns. The dataset is useful for researchers who wish to understand the impact of volumetric video compression on subjective quality. Analysis of the collected data are also presented in this paper.\",\"PeriodicalId\":330983,\"journal\":{\"name\":\"Proceedings of the 14th Conference on ACM Multimedia Systems\",\"volume\":\"20 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-06-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 14th Conference on ACM Multimedia Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3587819.3592543\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 14th Conference on ACM Multimedia Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3587819.3592543","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
VOLVQAD: An MPEG V-PCC Volumetric Video Quality Assessment Dataset
We present VOLVQAD, a volumetric video quality assessment dataset consisting 7,680 ratings on 376 video sequences from 120 participants. The volumetric video sequences are first encoded with MPEG V-PCC using 4 different avatar models and 16 quality variations, and then rendered into test videos for quality assessment using 2 different background colors and 16 different quality switching patterns. The dataset is useful for researchers who wish to understand the impact of volumetric video compression on subjective quality. Analysis of the collected data are also presented in this paper.
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