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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) 
Ricardo Monteiro, L. Lucas, Conti, C., Nunes, P., N. Rodrigues, S. M. M. Faria...Soares, L. (2016). Light Field HEVC-Based Image Coding using Locally Linear Embedding and Self-Similarity Compensated Prediction. IEEE International Conference on Multimedia and Expo Workshops - ICMEW. 1-4
Exportar Referência (IEEE) 
R. J. Monteiro et al.,  "Light Field HEVC-Based Image Coding using Locally Linear Embedding and Self-Similarity Compensated Prediction", in IEEE Int. Conf. on Multimedia and Expo Workshops - ICMEW, Seattle, WA, pp. 1-4, 2016
Exportar BibTeX 
@misc{monteiro2016_1766414365244,
	author = "Ricardo Monteiro and L. Lucas and Conti, C. and Nunes, P. and N. Rodrigues and S. M. M. Faria and C. L. Pagliari and E. A. B. Silva and Soares, L.",
	title = "Light Field HEVC-Based Image Coding using Locally Linear Embedding and Self-Similarity Compensated Prediction",
	year = "2016",
	howpublished = "Ambos (impresso e digital)",
	url = "http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7574670"
}
Exportar RIS 
TY  - CPAPER
TI  - Light Field HEVC-Based Image Coding using Locally Linear Embedding and Self-Similarity Compensated Prediction
T2  - IEEE International Conference on Multimedia and Expo Workshops - ICMEW
AU  - Ricardo Monteiro
AU  - L. Lucas
AU  - Conti, C.
AU  - Nunes, P.
AU  - N. Rodrigues
AU  - S. M. M. Faria
AU  - C. L. Pagliari
AU  - E. A. B. Silva
AU  - Soares, L.
PY  - 2016
SP  - 1-4
CY  - Seattle, WA
UR  - http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7574670
AB  - Light field imaging is a promising new technology that allows the user not only to change the focus and perspective after taking a picture, as well as to generate 3D content, among other applications. However, light field images are characterized by large amounts of data and there is a lack of coding tools to efficiently encode this type of content. Therefore, this paper proposes the addition of two new prediction tools to the HEVC framework, to improve its coding efficiency. The first tool is based on the local linear embedding-based prediction and the second one is based on the self-similarity compensated prediction. Experimental results show improvements over JPEG and HEVC in terms of average bitrate savings of 71.44% and 31.87%, and average PSNR gains of 4.73dB and 0.89dB, respectively.
ER  -