Title:	Example-based super-resolution for point-cloud video
Authors:	Garcia, Diogo Caetano Fonseca, Tiago Alves da Queiroz, Ricardo Lopes de
metadata.dc.contributor.affiliation:	Universidade de Brasília Universidade de Brasília Universidade de Brasília
Assunto::	Processamento de sinais Vídeo digital
Issue Date:	Oct-2018
Publisher:	IEEE
Citation:	GARCIA, Diogo C.; FONSECA, Tiago A.; QUEIROZ, Ricardo L. de. Example-based super-resolution for point-cloud video. In: IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), 25 th., 2018, Athens, Greece. Proceedings [...]. Athens, Greece: IEEE, 2018. DOI: 10.1109/ICIP.2018.8451043.
Abstract:	We propose a mixed-resolution point-cloud representa tion and an example-based super-resolution framework, from which several processing tools can be derived, such as com pression, denoising and error concealment. By inferring the high-frequency content of low-resolution frames based on the similarities between adjacent full-resolution frames, the pro posed framework achieves an average 1.18 dB gain over low pass versions of the point-cloud, for a projection-based dis tortion metric [1, 2].
metadata.dc.description.unidade:	Faculdade de Ciências e Tecnologias em Engenharia (FCTE) – Campus UnB Gama Curso de Engenharia Eletrônica (FCTE-Engenharia Eletrônica) Instituto de Ciências Exatas (IE) Departamento de Ciência da Computação (IE CIC)
DOI:	10.1109/ICIP.2018.8451043
metadata.dc.relation.publisherversion:	https://ieeexplore.ieee.org/document/8451043
Appears in Collections:	Trabalhos apresentados em evento

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