DocumentCode
659306
Title
Low-Complexity No-Reference PSNR Estimation for H.264/AVC Encoded Video
Author
Schroeder, Damien ; El Essaili, Ali ; Steinbach, Eckehard ; Staehle, Dirk ; Shehada, M.
Author_Institution
Inst. for Media Technol., Tech. Univ. Munchen, Munich, Germany
fYear
2013
fDate
12-13 Dec. 2013
Firstpage
1
Lastpage
6
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.
Keywords
computational complexity; data compression; video coding; H.264/AVC encoded video; I-frames; NR PSNR estimation method; Pearson correlation; RMSE; average bitrate; bitstream features; low computational complexity; low-complexity no-reference PSNR estimation; mean quantization parameter; Bit rate; Correlation; Encoding; Estimation; PSNR; Streaming media;
fLanguage
English
Publisher
ieee
Conference_Titel
Packet Video Workshop (PV), 2013 20th International
Conference_Location
San Jose, CA
Type
conf
DOI
10.1109/PV.2013.6691445
Filename
6691445
Link To Document