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Monteiro, R., Lucas, L., Conti, C., Nunes, P., Rodrigues, N., Faria, S....Soares, L. (2016). Light field HEVC-based image coding using locally linear embedding and self-similarity compensated prediction. In 2016 IEEE International Conference on Multimedia and Expo Workshops (ICMEW). Seattle, WA, USA : IEEE.

R. J. Monteiro et al.,  "Light field HEVC-based image coding using locally linear embedding and self-similarity compensated prediction", in 2016 IEEE Int. Conf. on Multimedia and Expo Workshops (ICMEW), Seattle, WA, USA , IEEE, 2016

@inproceedings{monteiro2016_1733961325796,
	author = "Monteiro, R. and Lucas, L. and Conti, C. and Nunes, P. and Rodrigues, N. and Faria, S. and Pagliari, C. and Silva, E. and Soares, L.",
	title = "Light field HEVC-based image coding using locally linear embedding and self-similarity compensated prediction",
	booktitle = "2016 IEEE International Conference on Multimedia and Expo Workshops (ICMEW)",
	year = "2016",
	editor = "",
	volume = "",
	number = "",
	series = "",
	doi = "10.1109/ICMEW.2016.7574670",
	publisher = "IEEE",
	address = "Seattle, WA, USA ",
	organization = "IEEE",
	url = "https://ieeexplore.ieee.org/xpl/conhome/7569794/proceeding"
}

TY  - CPAPER
TI  - Light field HEVC-based image coding using locally linear embedding and self-similarity compensated prediction
T2  - 2016 IEEE International Conference on Multimedia and Expo Workshops (ICMEW)
AU  - Monteiro, R.
AU  - Lucas, L.
AU  - Conti, C.
AU  - Nunes, P.
AU  - Rodrigues, N.
AU  - Faria, S.
AU  - Pagliari, C.
AU  - Silva, E.
AU  - Soares, L.
PY  - 2016
DO  - 10.1109/ICMEW.2016.7574670
CY  - Seattle, WA, USA 
UR  - https://ieeexplore.ieee.org/xpl/conhome/7569794/proceeding
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  -