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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)
Conti, C., Soares, L. D. & Nunes, P. (2020). Dense light field coding: a survey. IEEE Access. 8, 49244-49284
Exportar Referência (IEEE)
C. Conti et al.,  "Dense light field coding: a survey", in IEEE Access, vol. 8, pp. 49244-49284, 2020
Exportar BibTeX
	author = "Conti, C. and Soares, L. D. and Nunes, P.",
	title = "Dense light field coding: a survey",
	journal = "IEEE Access",
	year = "2020",
	volume = "8",
	number = "",
	doi = "10.1109/ACCESS.2020.2977767",
	pages = "49244-49284",
	url = ""
Exportar RIS
TI  - Dense light field coding: a survey
T2  - IEEE Access
VL  - 8
AU  - Conti, C.
AU  - Soares, L. D.
AU  - Nunes, P.
PY  - 2020
SP  - 49244-49284
SN  - 2169-3536
DO  - 10.1109/ACCESS.2020.2977767
UR  -
AB  - Light Field (LF) imaging is a promising solution for providing more immersive and closer to reality multimedia experiences to end-users with unprecedented creative freedom and flexibility for applications in different areas, such as virtual and augmented reality. Due to the recent technological advances in optics, sensor manufacturing and available transmission bandwidth, as well as the investment of many tech giants in this area, it is expected that soon many LF transmission systems will be available to both consumers and professionals. Recognizing this, novel standardization initiatives have recently emerged in both the Joint Photographic Experts Group (JPEG) and the Moving Picture Experts Group (MPEG), triggering the discussion on the deployment of LF coding solutions to efficiently handle the massive amount of data involved in such systems.
Since then, the topic of LF content coding has become a booming research area, attracting the attention of many researchers worldwide. In this context, this paper provides a comprehensive survey of the most relevant LF coding solutions proposed in the literature, focusing on angularly dense LFs. Special attention is placed on a thorough description of the different LF coding methods and on the main concepts related to this relevant area. Moreover, comprehensive insights are presented into open research challenges and future research directions for LF coding.

ER  -