Rodrigo Marques Almeida da Silva, B. Feijó, Pablo B. Gomes, Thiago Frensh, Daniel Monteiro
{"title":"实时360°视频拼接和流媒体","authors":"Rodrigo Marques Almeida da Silva, B. Feijó, Pablo B. Gomes, Thiago Frensh, Daniel Monteiro","doi":"10.1145/2945078.2945148","DOIUrl":null,"url":null,"abstract":"In this paper we propose a real time 360° video stitching and streaming processing methodology focused on GPU. The solution creates a scalable solution for large resolutions, such as 4K and 8K per camera, and supports broadcasting solutions with cloud architectures. The methodology uses a group of deformable meshes, processed using OpenGL (GLSL) and the final image combine the inputs using a robust pixel shader. Moreover, the result can be streamed to a cloud service using h.264 encoding with nVEnc GPU encoding. Finally, we present some results.","PeriodicalId":417667,"journal":{"name":"ACM SIGGRAPH 2016 Posters","volume":"67 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"23","resultStr":"{\"title\":\"Real time 360° video stitching and streaming\",\"authors\":\"Rodrigo Marques Almeida da Silva, B. Feijó, Pablo B. Gomes, Thiago Frensh, Daniel Monteiro\",\"doi\":\"10.1145/2945078.2945148\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper we propose a real time 360° video stitching and streaming processing methodology focused on GPU. The solution creates a scalable solution for large resolutions, such as 4K and 8K per camera, and supports broadcasting solutions with cloud architectures. The methodology uses a group of deformable meshes, processed using OpenGL (GLSL) and the final image combine the inputs using a robust pixel shader. Moreover, the result can be streamed to a cloud service using h.264 encoding with nVEnc GPU encoding. Finally, we present some results.\",\"PeriodicalId\":417667,\"journal\":{\"name\":\"ACM SIGGRAPH 2016 Posters\",\"volume\":\"67 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-07-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"23\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACM SIGGRAPH 2016 Posters\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2945078.2945148\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACM SIGGRAPH 2016 Posters","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2945078.2945148","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In this paper we propose a real time 360° video stitching and streaming processing methodology focused on GPU. The solution creates a scalable solution for large resolutions, such as 4K and 8K per camera, and supports broadcasting solutions with cloud architectures. The methodology uses a group of deformable meshes, processed using OpenGL (GLSL) and the final image combine the inputs using a robust pixel shader. Moreover, the result can be streamed to a cloud service using h.264 encoding with nVEnc GPU encoding. Finally, we present some results.
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