Zobrazeno 1 - 10
of 86
pro vyhledávání: '"Arnaldo de Albuquerque Araújo"'
Autor:
Reginaldo J. Santos, Jefersson A. dos Santos, Sérgio Scalzo, Virgínia Fernandes Mota, Hugo N. Oliveira, Arnaldo de Albuquerque Araújo, Dalton Dittz
Publikováno v:
Multimedia Tools and Applications. 79:13919-13949
Spatiotemporal description is a research field with applications in various areas such as video indexing, surveillance, human-computer interfaces, among others. Big Data problems in large databases are now being treated with Deep Learning tools, howe
Autor:
Jean Cousty, Guillermo Cámara-Chávez, Edward Cayllahua-Cahuina, Silvio Jamil Ferzoli Guimarães, Yukiko Kenmochi, Arnaldo de Albuquerque Araújo
Publikováno v:
Pattern Recognition Letters
Pattern Recognition Letters, Elsevier, 2020, 131, pp.105-112. ⟨10.1016/j.patrec.2019.12.014⟩
Pattern Recognition Letters, Elsevier, 2020, 131, pp.105-112. ⟨10.1016/j.patrec.2019.12.014⟩
International audience; Hierarchical image segmentation provides region-oriented scale-spaces: sets of image segmentations at different detail levels in which the segmentations at finer levels are nested with respect to those at coarser levels. Guima
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c977b1370d33f88e2841d8912b485fc9
https://hal.archives-ouvertes.fr/hal-02959334/document
https://hal.archives-ouvertes.fr/hal-02959334/document
Publikováno v:
Archiving Conference. 14:57-61
Publikováno v:
Anais Estendidos do XXXII Conference on Graphics, Patterns and Images (SIBRAPI Estendido 2019).
Spatiotemporal description is a research field with applications in various areas such as video indexing, surveillance, human-computer interfaces, among others. Big Data problems in large databases are now being treated with Deep Learning tools, howe
Autor:
Guillermo Cámara-Chávez, Silvio Jamil F. Guimarães, Karla Otiniano-Rodríguez, Benjamin Perret, Jean Cousty, Arnaldo de Albuquerque Araújo
Publikováno v:
CIARP 2018: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
CIARP 2018: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, pp.444-452, 2019, ⟨10.1007/978-3-030-13469-3_52⟩
Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications ISBN: 9783030134686
CIARP
CIARP 2018: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, pp.444-452, 2019, ⟨10.1007/978-3-030-13469-3_52⟩
Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications ISBN: 9783030134686
CIARP
International audience; This article introduces a novel region detector based on hierarchies of partitions, so-called Hierarchy-Based Salient Regions (HBSR). This approach enables to combine the clues given by a high quality contour detector with a c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0b47643371444a4501713c2f78ef0b84
https://hal.archives-ouvertes.fr/hal-02064718/document
https://hal.archives-ouvertes.fr/hal-02064718/document
Autor:
Arnaldo de Albuquerque Araújo, Silvio Jamil Ferzoli Guimarães, Yukiko Kenmochi, Edward Cayllahua-Cahuina, Guillermo Cámara-Chávez, Jean Cousty
Publikováno v:
Discrete Geometry for Computer Imagery ISBN: 9783030140847
DGCI
Discrete Geometry for Computer Imagery
Discrete Geometry for Computer Imagery, Mar 2019, Noisy-le-grand, France. pp.167-179, ⟨10.1007/978-3-030-14085-4_14⟩
DGCI
Discrete Geometry for Computer Imagery
Discrete Geometry for Computer Imagery, Mar 2019, Noisy-le-grand, France. pp.167-179, ⟨10.1007/978-3-030-14085-4_14⟩
International audience; Hierarchical image segmentation provides a region-oriented scale-space, i.e., a set of image segmentations at different detail levels in which the segmentations at finer levels are nested with respect to those at coarser level
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e06672a77cb3b2efe6d0c334a8019593
https://doi.org/10.1007/978-3-030-14085-4_14
https://doi.org/10.1007/978-3-030-14085-4_14
Autor:
Jefersson A. dos Santos, Claudio Saliba de Avelar, Alexei Manso Correa Machado, Hugo N. Oliveira, Arnaldo de Albuquerque Araújo
Publikováno v:
Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications ISBN: 9783030134686
CIARP
CIARP
Pectoral muscle and background elimination are common steps for automated software in mammographic image preprocessing. We investigate FCNs, U-nets and SegNets in the task of mammogram segmentation, addressing three subtasks: pectoral muscle, backgro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::80817892c4b685daa8efa9b64917b7b2
https://doi.org/10.1007/978-3-030-13469-3_80
https://doi.org/10.1007/978-3-030-13469-3_80
Autor:
Helena de Almeida Maia, Fabio Luiz Marinho, Virgínia Fernandes Mota, Arnaldo de Albuquerque Araújo, Marcelo Bernardes Vieira
Publikováno v:
Journal of Communication and Information Systems. 30:90-99
In this work we present an ongoing research which intends to integrate the Block Matching technique into the Human Action Recognition field. We propose a method to create a video descriptor composed of three main steps: Computation of displacement ve
Autor:
Tiago M. H. C. Santana, Alexei Manso Correa Machado, Arnaldo de Albuquerque Araújo, Jefersson A. dos Santos
Publikováno v:
Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications ISBN: 9783319522760
CIARP
CIARP
Remote Sensing Images are one of the main sources of information about the earth surface. They are widely used to automatically generate thematic maps that show the land cover of an area. This process is traditionally done by using supervised classif
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::382fe49e38cf278267feb63a0f8f82ce
https://doi.org/10.1007/978-3-319-52277-7_37
https://doi.org/10.1007/978-3-319-52277-7_37
Autor:
Deise Santana Maia, Benjamin Perret, Hugues Talbot, Laurent Najman, Jean Cousty, Arnaldo de Albuquerque Araújo
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319572390
ISMM
Lecture Notes in Computer Science
ISMM 2017
ISMM 2017, May 2017, Fontainebleau, France. pp.133-145, ⟨10.1007/978-3-319-57240-6_11⟩
ISMM
Lecture Notes in Computer Science
ISMM 2017
ISMM 2017, May 2017, Fontainebleau, France. pp.133-145, ⟨10.1007/978-3-319-57240-6_11⟩
International audience; The main goal of this paper is to evaluate the potential of some combinations of watershed hierarchies. We also propose a new combination based on merging level sets of hierarchies. Experiments were performed on natural image
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::92496febd163eaefe0ff1218ea9f6aa9
https://doi.org/10.1007/978-3-319-57240-6_11
https://doi.org/10.1007/978-3-319-57240-6_11