@inproceedings{1267aef34f8740e6a15baf0c2dfe4f47,
title = "Low-complexity no-reference PSNR estimation for H.264/AVC encoded video",
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.",
author = "Damien Schroeder and \{El Essaili\}, Ali and Eckehard Steinbach and Dirk Staehle and Mohammed Shehada",
year = "2013",
doi = "10.1109/PV.2013.6691445",
language = "English",
isbn = "9781479921720",
series = "2013 20th International Packet Video Workshop, PV 2013",
publisher = "IEEE Computer Society",
booktitle = "2013 20th International Packet Video Workshop, PV 2013",
note = "2013 20th International Packet Video Workshop, PV 2013 ; Conference date: 12-12-2013 Through 13-12-2013",
}