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A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA) 
Brandão, T. & Queluz, M. P. (2008). No-reference PSNR estimation algorithm for H.264 encoded video sequences. In 16th European Signal Processing Conference, EUSIPCO 2008. Lausanne: IEEE.
Exportar Referência (IEEE) 
T. G. Brandão and M. P. Rodrigues,  "No-reference PSNR estimation algorithm for H.264 encoded video sequences", in 16th European Signal Processing Conf., EUSIPCO 2008, Lausanne, IEEE, 2008
Exportar BibTeX 
@inproceedings{brandão2008_1775401952324,
	author = "Brandão, T. and Queluz, M. P.",
	title = "No-reference PSNR estimation algorithm for H.264 encoded video sequences",
	booktitle = "16th European Signal Processing Conference, EUSIPCO 2008",
	year = "2008",
	editor = "",
	volume = "",
	number = "",
	series = "",
	publisher = "IEEE",
	address = "Lausanne",
	organization = "",
	url = "https://ieeexplore.ieee.org/document/7080525"
}
Exportar RIS 
TY  - CPAPER
TI  - No-reference PSNR estimation algorithm for H.264 encoded video sequences
T2  - 16th European Signal Processing Conference, EUSIPCO 2008
AU  - Brandão, T.
AU  - Queluz, M. P.
PY  - 2008
CY  - Lausanne
UR  - https://ieeexplore.ieee.org/document/7080525
AB  - This paper proposes a no-reference PSNR estimation algorithm for video sequences subject to H.264/AVC encoding. The proposed method explores statistical properties of the transformed coefficients, which can be modeled by a Cauchy or Laplace probability density function. The distribution's parameters are computed from quantized coefficient data received at the decoder, combining maximum-likelihood with linear prediction estimates. Since the proposed algorithm has no knowledge about the original sequences, it can be used as a no-reference metric for evaluating the quality of the encoded video sequences. When compared with recent state-of-the-art algorithms proposed for the same purpose, it has shown better PSNR estimation accuracy in a set of video sequences subject to different encoding rates.
ER  -