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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 UnB Gama (FGA)
Curso de Engenharia Eletrônica (FGA-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
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