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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, P. (2006). Blind PSNR estimation of video sequences, through non-uniform quantization watermarking. In 3rd International Conference on Image Analysis and Recognition, ICIAR 2006. (pp. 587-599). Povoa de Varzim: Springer.
Exportar Referência (IEEE) 
T. G. Brandão and M. P. Rodrigues,  "Blind PSNR estimation of video sequences, through non-uniform quantization watermarking", in 3rd Int. Conf. on Image Analysis and Recognition, ICIAR 2006, Povoa de Varzim, Springer, 2006, vol. 4141, pp. 587-599
Exportar BibTeX 
@inproceedings{brandão2006_1775401952016,
	author = "Brandão, T. and Queluz, P.",
	title = "Blind PSNR estimation of video sequences, through non-uniform quantization watermarking",
	booktitle = "3rd International Conference on Image Analysis and Recognition, ICIAR 2006",
	year = "2006",
	editor = "",
	volume = "4141",
	number = "",
	series = "",
	doi = "10.1007/11867586_55",
	pages = "587-599",
	publisher = "Springer",
	address = "Povoa de Varzim",
	organization = "",
	url = "https://link.springer.com/chapter/10.1007/11867586_55"
}
Exportar RIS 
TY  - CPAPER
TI  - Blind PSNR estimation of video sequences, through non-uniform quantization watermarking
T2  - 3rd International Conference on Image Analysis and Recognition, ICIAR 2006
VL  - 4141
AU  - Brandão, T.
AU  - Queluz, P.
PY  - 2006
SP  - 587-599
SN  - 0302-9743
DO  - 10.1007/11867586_55
CY  - Povoa de Varzim
UR  - https://link.springer.com/chapter/10.1007/11867586_55
AB  - This paper describes a watermark-based technique that estimates the PSNR of encoded video without requiring the original media data. Watermark embedding is performed in the block-based DCT domain using a new non-uniform quantization scheme that accounts for human vision characteristics. At the extraction, the square distances between received coefficients and nearest quantization points are computed, giving a frame-by-frame estimative for the mean square error (and consequently, the PSNR). Since these distances may be underestimated if distortion is greater than the quantization step used for watermark embedding, it is also proposed the use of the watermark extraction bit error rate, together with image statistics, for PSNR estimation weighting. Results show that PSNR estimation closely follows the true PSNR for a set of video sequences subject to different encoding rates.
ER  -