H.264/AVC编码视频的低复杂度无参考PSNR估计

Damien Schroeder, A. E. Essaili, E. Steinbach, D. Staehle, Mohammed Shehada
{"title":"H.264/AVC编码视频的低复杂度无参考PSNR估计","authors":"Damien Schroeder, A. E. Essaili, E. Steinbach, D. Staehle, Mohammed Shehada","doi":"10.1109/PV.2013.6691445","DOIUrl":null,"url":null,"abstract":"We present a no-reference (NR) PSNR estimation method which is based on only two bitstream features (average bitrate and mean quantization parameter of the I-frames). The low computational complexity of the proposed method makes it suitable for in-network real-time applications. The NR metric achieves a Pearson correlation of 0.99 for individual videos and a RMSE of approximately 1 dB PSNR on average. We additionally investigate the effect of various encoding configurations on the PSNR and show the robustness of our method towards these. Finally, we incorporate the proposed metric into an example application and demonstrate that only a minor performance loss is observed compared to the reference scheme which assumes the availability of true PSNR information.","PeriodicalId":289244,"journal":{"name":"2013 20th International Packet Video Workshop","volume":"36 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"19","resultStr":"{\"title\":\"Low-Complexity No-Reference PSNR Estimation for H.264/AVC Encoded Video\",\"authors\":\"Damien Schroeder, A. E. Essaili, E. Steinbach, D. Staehle, Mohammed Shehada\",\"doi\":\"10.1109/PV.2013.6691445\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We present a no-reference (NR) PSNR estimation method which is based on only two bitstream features (average bitrate and mean quantization parameter of the I-frames). The low computational complexity of the proposed method makes it suitable for in-network real-time applications. The NR metric achieves a Pearson correlation of 0.99 for individual videos and a RMSE of approximately 1 dB PSNR on average. We additionally investigate the effect of various encoding configurations on the PSNR and show the robustness of our method towards these. Finally, we incorporate the proposed metric into an example application and demonstrate that only a minor performance loss is observed compared to the reference scheme which assumes the availability of true PSNR information.\",\"PeriodicalId\":289244,\"journal\":{\"name\":\"2013 20th International Packet Video Workshop\",\"volume\":\"36 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-12-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"19\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 20th International Packet Video Workshop\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PV.2013.6691445\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 20th International Packet Video Workshop","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PV.2013.6691445","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 19

摘要

提出了一种仅基于两个比特流特征(i帧的平均比特率和平均量化参数)的无参考PSNR估计方法。该方法计算复杂度低,适合于网络实时应用。对于单个视频,NR指标实现了0.99的Pearson相关性,平均RMSE约为1 dB PSNR。我们还研究了各种编码配置对PSNR的影响,并展示了我们的方法对这些的鲁棒性。最后,我们将提出的度量纳入示例应用程序,并证明与假设真实PSNR信息可用性的参考方案相比,仅观察到较小的性能损失。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Low-Complexity No-Reference PSNR Estimation for H.264/AVC Encoded Video
We present a no-reference (NR) PSNR estimation method which is based on only two bitstream features (average bitrate and mean quantization parameter of the I-frames). The low computational complexity of the proposed method makes it suitable for in-network real-time applications. The NR metric achieves a Pearson correlation of 0.99 for individual videos and a RMSE of approximately 1 dB PSNR on average. We additionally investigate the effect of various encoding configurations on the PSNR and show the robustness of our method towards these. Finally, we incorporate the proposed metric into an example application and demonstrate that only a minor performance loss is observed compared to the reference scheme which assumes the availability of true PSNR information.
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
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信