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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

GLoG: Laplacian of Gaussian for Spatial Pattern Detection in Spatio-Temporal Data

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Author(s):
Nonato, Luis Gustavo [1] ; do Carmo, Fabiano Petronetto [2] ; Silva, Claudio T. [3]
Total Authors: 3
Affiliation:
[1] Univ Sao Paulo, BR-05508220 Sao Paulo - Brazil
[2] Univ Fed Espirito Santo, BR-29075910 Espirito Santo - Brazil
[3] NYU, 550 1St Ave, New York, NY 10003 - USA
Total Affiliations: 3
Document type: Journal article
Source: IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS; v. 27, n. 8, p. 3481-3492, AUG 1 2021.
Web of Science Citations: 0
Abstract

Boundary detection has long been a fundamental tool for image processing and computer vision, supporting the analysis of static and time-varying data. In this work, we built upon the theory of Graph Signal Processing to propose a novel boundary detection filter in the context of graphs, having as main application scenario the visual analysis of spatio-temporal data. More specifically, we propose the equivalent for graphs of the so-called Laplacian of Gaussian edge detection filter, which is widely used in image processing. The proposed filter is able to reveal interesting spatial patterns while still enabling the definition of entropy of time slices. The entropy reveals the degree of randomness of a time slice, helping users to identify expected and unexpected phenomena over time. The effectiveness of our approach appears in applications involving synthetic and real data sets, which show that the proposed methodology is able to uncover interesting spatial and temporal phenomena. The provided examples and case studies make clear the usefulness of our approach as a mechanism to support visual analytic tasks involving spatio-temporal data. (AU)

FAPESP's process: 14/12236-1 - AnImaLS: Annotation of Images in Large Scale: what can machines and specialists learn from interaction?
Grantee:Alexandre Xavier Falcão
Support Opportunities: Research Projects - Thematic Grants
FAPESP's process: 13/07375-0 - CeMEAI - Center for Mathematical Sciences Applied to Industry
Grantee:Francisco Louzada Neto
Support Opportunities: Research Grants - Research, Innovation and Dissemination Centers - RIDC
FAPESP's process: 16/04391-2 - Mathematical morphology operators for the visual analytics of urban data
Grantee:Fábio Augusto Salve Dias
Support Opportunities: Scholarships abroad - Research Internship - Post-doctor