软件和硬件的HEVC编码

Jan Kufa, T. Kratochvil
{"title":"软件和硬件的HEVC编码","authors":"Jan Kufa, T. Kratochvil","doi":"10.1109/IWSSIP.2017.7965585","DOIUrl":null,"url":null,"abstract":"In comparison with older standards, High Efficiency Video Coding (HEVC) significantly improves coding efficiency. At the same time, it increases computational complexity of coding and therefore encoding takes a longer time. In this paper, the usage of different implementations of HEVC is proposed where some of them can take advantage of a multicore Central Processing Unit (CPU). The others are accelerated by using a Video Engine (VE) in the Graphics Processing Unit (GPU). In the paper, different predefined quality presets are also used which set the balance between the video quality and encoding speed. Another aspect was to compare power consumption and utilization of components in a Personal Computer (PC) depending on different HEVC implementations. Research has been carried out for both resolutions, Full HD and Ultra HD. Our experimental results show that hardware-accelerated encoding can encode video that consumes less CPU time, with only small impact on video quality.","PeriodicalId":302860,"journal":{"name":"2017 International Conference on Systems, Signals and Image Processing (IWSSIP)","volume":"65 3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Software and hardware HEVC encoding\",\"authors\":\"Jan Kufa, T. Kratochvil\",\"doi\":\"10.1109/IWSSIP.2017.7965585\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In comparison with older standards, High Efficiency Video Coding (HEVC) significantly improves coding efficiency. At the same time, it increases computational complexity of coding and therefore encoding takes a longer time. In this paper, the usage of different implementations of HEVC is proposed where some of them can take advantage of a multicore Central Processing Unit (CPU). The others are accelerated by using a Video Engine (VE) in the Graphics Processing Unit (GPU). In the paper, different predefined quality presets are also used which set the balance between the video quality and encoding speed. Another aspect was to compare power consumption and utilization of components in a Personal Computer (PC) depending on different HEVC implementations. Research has been carried out for both resolutions, Full HD and Ultra HD. Our experimental results show that hardware-accelerated encoding can encode video that consumes less CPU time, with only small impact on video quality.\",\"PeriodicalId\":302860,\"journal\":{\"name\":\"2017 International Conference on Systems, Signals and Image Processing (IWSSIP)\",\"volume\":\"65 3 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-05-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"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.2017.7965585\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 International Conference on Systems, Signals and Image Processing (IWSSIP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IWSSIP.2017.7965585","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8

摘要

HEVC (High Efficiency Video Coding,高效视频编码)与传统编码标准相比,显著提高了编码效率。同时,它增加了编码的计算复杂度,从而增加了编码的时间。在本文中,提出了HEVC的不同实现方法,其中一些可以利用多核中央处理器(CPU)。其他处理器通过GPU中的VE (Video Engine)进行加速。在本文中,还使用了不同的预定义质量预置来设置视频质量和编码速度之间的平衡。另一方面是比较不同HEVC实现下个人计算机(PC)中组件的功耗和利用率。对全高清和超高清两种分辨率都进行了研究。我们的实验结果表明,硬件加速编码可以编码视频,占用较少的CPU时间,对视频质量的影响很小。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Software and hardware HEVC encoding
In comparison with older standards, High Efficiency Video Coding (HEVC) significantly improves coding efficiency. At the same time, it increases computational complexity of coding and therefore encoding takes a longer time. In this paper, the usage of different implementations of HEVC is proposed where some of them can take advantage of a multicore Central Processing Unit (CPU). The others are accelerated by using a Video Engine (VE) in the Graphics Processing Unit (GPU). In the paper, different predefined quality presets are also used which set the balance between the video quality and encoding speed. Another aspect was to compare power consumption and utilization of components in a Personal Computer (PC) depending on different HEVC implementations. Research has been carried out for both resolutions, Full HD and Ultra HD. Our experimental results show that hardware-accelerated encoding can encode video that consumes less CPU time, with only small impact on video quality.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Efficient frame-compatible stereoscopic video coding using HEVC screen content coding Reinforcement learning for video encoder control in HEVC Software and hardware HEVC encoding Ensemble of CNN and rich model for steganalysis IVQAD 2017: An immersive video quality assessment database
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1