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pro vyhledávání: '"Seleem, Abdelrahman"'
Event cameras have the ability to capture asynchronous per-pixel brightness changes, called "events", offering advantages over traditional frame-based cameras for computer vision applications. Efficiently coding event data is critical for transmissio
Externí odkaz:
http://arxiv.org/abs/2407.15531
In the current golden age of multimedia, human visualization is no longer the single main target, with the final consumer often being a machine which performs some processing or computer vision tasks. In both cases, deep learning plays a undamental r
Externí odkaz:
http://arxiv.org/abs/2310.18849
Autor:
Guarda, André F. R., Rodrigues, Nuno M. M., Ruivo, Manuel, Coelho, Luís, Seleem, Abdelrahman, Pereira, Fernando
This document describes a deep learning-based point cloud geometry codec and a deep learning-based point cloud joint geometry and colour codec, submitted to the Call for Proposals on JPEG Pleno Point Cloud Coding issued in January 2022. The proposed
Externí odkaz:
http://arxiv.org/abs/2208.02716
Akademický článek
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Akademický článek
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Autor:
Guarda, André F. R., Rodrigues, Nuno M. M., Ruivo, Manuel, Coelho, Luís, Seleem, Abdelrahman, Pereira, Fernando
Relatório técnico This document describes a deep learning (DL)-based point cloud (PC) geometry codec and a DL-based PC joint geometry and colour codec, submitted to the Call for Proposals on JPEG Pleno Point Cloud Coding issued in January 2022 [1].
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1564::843a3d342ffd324b43730a8471d3ac15
https://hdl.handle.net/10400.8/7840
https://hdl.handle.net/10400.8/7840
Autor:
Guarda, André F. R., Rodrigues, Nuno M. M., Ruivo, Manuel, Coelho, Luís, Seleem, Abdelrahman, Pereira, Fernando
Relatório técnico This document describes the JPEG Pleno Point Cloud Coding [1] Verification Model (VM), consisting of a deep learning (DL)-based joint point cloud (PC) geometry and colour codec [2]. N/A
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1564::2674b286ecd21fcbab52fb23d757b5c3
https://hdl.handle.net/10400.8/7842
https://hdl.handle.net/10400.8/7842