{"title":"Remote rendering of High Dynamic Range graphics content","authors":"Josh McNamee, K. Debattista, A. Chalmers","doi":"10.1109/DMIAF.2016.7574891","DOIUrl":null,"url":null,"abstract":"A large amount of computer graphics content is now regularly rendered in High Dynamic Range (HDR). The computational requirements of this are such that this rendering is typically done remotely. As the data requirements of HDR are large, compression is required if the resultant HDR frames are to be streamed efficiently to where they are required on existing ICT infrastructure. This paper investigates augmenting video streaming of computer generated HDR graphics using metadata available from the rendering engine which is not typically accessible for real-world HDR video streaming. In particular depth, geometry and motion information is used to produce an efficient stream for transmission. This is combined with state-of-the-art techniques for encoding HDR video to produce a highly efficient means of steaming HDR video of graphics content.","PeriodicalId":404025,"journal":{"name":"2016 Digital Media Industry & Academic Forum (DMIAF)","volume":"123 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 Digital Media Industry & Academic Forum (DMIAF)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DMIAF.2016.7574891","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
A large amount of computer graphics content is now regularly rendered in High Dynamic Range (HDR). The computational requirements of this are such that this rendering is typically done remotely. As the data requirements of HDR are large, compression is required if the resultant HDR frames are to be streamed efficiently to where they are required on existing ICT infrastructure. This paper investigates augmenting video streaming of computer generated HDR graphics using metadata available from the rendering engine which is not typically accessible for real-world HDR video streaming. In particular depth, geometry and motion information is used to produce an efficient stream for transmission. This is combined with state-of-the-art techniques for encoding HDR video to produce a highly efficient means of steaming HDR video of graphics content.