{"title":"一个轻量级的基于h .264硬件加速图像压缩库","authors":"Jie Jiang, T. Fogal, Cliff Woolley, P. Messmer","doi":"10.1109/LDAV.2016.7874337","DOIUrl":null,"url":null,"abstract":"Hardware video encoding can lower the perceived latency for remote visualization. We have created a lightweight library that simplifies the use of NVIDIA's video compression hardware. We achieve overall latencies below 15ms with compression ratios of approximately 85:1. To verify its applicability in real world scenarios, we integrated our library into ParaView. This offloads the encoding within ParaView to the GPU and provides a 25x bandwidth reduction compared to existing image compression methods available in the tool.","PeriodicalId":148570,"journal":{"name":"2016 IEEE 6th Symposium on Large Data Analysis and Visualization (LDAV)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"A lightweight H.264-based hardware accelerated image compression library\",\"authors\":\"Jie Jiang, T. Fogal, Cliff Woolley, P. Messmer\",\"doi\":\"10.1109/LDAV.2016.7874337\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Hardware video encoding can lower the perceived latency for remote visualization. We have created a lightweight library that simplifies the use of NVIDIA's video compression hardware. We achieve overall latencies below 15ms with compression ratios of approximately 85:1. To verify its applicability in real world scenarios, we integrated our library into ParaView. This offloads the encoding within ParaView to the GPU and provides a 25x bandwidth reduction compared to existing image compression methods available in the tool.\",\"PeriodicalId\":148570,\"journal\":{\"name\":\"2016 IEEE 6th Symposium on Large Data Analysis and Visualization (LDAV)\",\"volume\":\"25 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 IEEE 6th Symposium on Large Data Analysis and Visualization (LDAV)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/LDAV.2016.7874337\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE 6th Symposium on Large Data Analysis and Visualization (LDAV)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/LDAV.2016.7874337","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A lightweight H.264-based hardware accelerated image compression library
Hardware video encoding can lower the perceived latency for remote visualization. We have created a lightweight library that simplifies the use of NVIDIA's video compression hardware. We achieve overall latencies below 15ms with compression ratios of approximately 85:1. To verify its applicability in real world scenarios, we integrated our library into ParaView. This offloads the encoding within ParaView to the GPU and provides a 25x bandwidth reduction compared to existing image compression methods available in the tool.
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