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Animation Plans for Before-and-After Satellite Images

Authors :
Emmanuel Pietriga
María-Jesús Lobo
Caroline Appert
Interacting with Large Data (ILDA)
Laboratoire de Recherche en Informatique (LRI)
Université Paris-Sud - Paris 11 (UP11)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-Université Paris-Sud - Paris 11 (UP11)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-Inria Saclay - Ile de France
Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)
ANR-14-CE24-0011,MapMuxing,Multiplexage cartographique multi-dimensionnel(2014)
Source :
IEEE Transactions on Visualization and Computer Graphics, IEEE Transactions on Visualization and Computer Graphics, 2019, 25 (2), pp.1347-1360. ⟨10.1109/TVCG.2018.2796557⟩, IEEE Transactions on Visualization and Computer Graphics, Institute of Electrical and Electronics Engineers, 2019, 25 (2), pp.1347-1360. ⟨10.1109/TVCG.2018.2796557⟩
Publication Year :
2018

Abstract

International audience; Before-and-after image pairs show how entities in a given region have evolved over a specific period of time. Satellite images are a major source of such data, that capture how natural phenomena or human activity impact a geographical area. These images are used both for data analysis and to illustrate the resulting findings to diverse audiences. The simple techniques used to display them, including juxtaposing, swapping and monolithic blending, often fail to convey the underlying phenomenon in a meaningful manner. We introduce Baia, a framework to create advanced animated transitions, called animation plans, between before-and-after images. Baia relies on a pixel-based transition model that gives authors much expressive power, while keeping animations for common types of changes easy to create thanks to predefined animation primitives. We describe our model, the associated animation editor, and report on two user studies. In the first study, advanced transitions enabled by Baia were compared to monolithic blending, and perceived as more realistic and better at focusing viewer's attention on a region of interest than the latter. The second study aimed at gathering feedback about the usability of Baia's animation editor.

Details

ISSN :
19410506 and 10772626
Volume :
25
Issue :
2
Database :
OpenAIRE
Journal :
IEEE transactions on visualization and computer graphics
Accession number :
edsair.doi.dedup.....7d08dd0c019c0a1f576b207fb0d07409