@InProceedings{Gomez-NietoNona:2017:GeSeLa,
author = "Gomez-Nieto, Erick and Nonato, Luis Gustavo",
affiliation = "{Universidad Catolica San Pablo} and ICMC, Universidade de Sao
Paulo",
title = "Generation of Semantic Layouts for Interactive Multidimensional
Data Visualization",
booktitle = "Proceedings...",
year = "2017",
editor = "Torchelsen, Rafael Piccin and Nascimento, Erickson Rangel do and
Panozzo, Daniele and Liu, Zicheng and Farias, Myl{\`e}ne and
Viera, Thales and Sacht, Leonardo and Ferreira, Nivan and Comba,
Jo{\~a}o Luiz Dihl and Hirata, Nina and Schiavon Porto, Marcelo
and Vital, Creto and Pagot, Christian Azambuja and Petronetto,
Fabiano and Clua, Esteban and Cardeal, Fl{\'a}vio",
organization = "Conference on Graphics, Patterns and Images, 30. (SIBGRAPI)",
publisher = "Sociedade Brasileira de Computa{\c{c}}{\~a}o",
address = "Porto Alegre",
keywords = "Area optimization, High-dimensional data, Overlap removal,
Semantic layout, Similarity preserving.",
abstract = "Visualization methods make use of interactive graphical
representations embedded on a display area in order to enable data
exploration and analysis. These typically rely on geometric
primitives for representing data or building more sophisticated
representations to assist the visual analysis process. One of the
most challenging tasks in this context is to determinate an
optimal layout of these primitives which turns out to be effective
and informative. Existing algorithms for building layouts from
geometric primitives are typically designed to cope with
requirements such as orthogonal alignment, overlap removal,
optimal area usage, hierarchical organization, dynamic update
among others. However, most techniques are able to tackle just a
few of those requirements simultaneously, impairing their use and
flexibility. In this dissertation, we propose a set of approaches
for building layouts from geometric primitives that concurrently
addresses a wider range of requirements. Relying on
multidimensional projection and optimization formulations, our
methods arrange geometric objects in the visual space so as to
generate well-structured layouts that preserve the semantic
relation among objects while still making an efficient use of
display area. A comprehensive set of quantitative comparisons
against existing methods for layout generation and applications on
text, image, and video data set visualization prove the
effectiveness of our approaches.",
conference-location = "Niter{\'o}i, RJ, Brazil",
conference-year = "17-20 Oct. 2017",
language = "en",
ibi = "8JMKD3MGPAW/3PJ6592",
url = "http://urlib.net/ibi/8JMKD3MGPAW/3PJ6592",
targetfile = "paper.pdf",
urlaccessdate = "2024, May 01"
}