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Improving Large Image Viewing in the Crisis Management System SécuRéVi

Authors:
Mehdi Tahan
Jean Vareille
Laurent Nana
Olivier Danjean
Hervé Mahoudo
Gilles Cloarec

Keywords: crisis management; image processing; large image; image segmentation

Abstract:
This paper deals with the processing and integration of images in SécuRéVi platform, a crisis management system, with an emphasis on large images whose handling leads to specific difficulties. Indeed, in the domain of crisis management, images are key elements for understanding and taking proper decisions. Images of different nature (map, aerial view, 360 ° view, etc.) are helpful and adequate solutions that need to be provided in case of sinister. After describing the SécuRéVi platform, we shortly present its images processing approach and establish some design constraints and criteria for the development of a large image viewer. Then, we present our proposal for improving large image handling and its implementation in the SécuRéVi platform. The paper ends by conclusion and future works.

Pages: 59 to 64

Copyright: Copyright (c) IARIA, 2014

Publication date: May 25, 2014

Published in: conference

ISSN: 2308-4162

ISBN: 978-1-61208-342-1

Location: Venice, Italy

Dates: from May 25, 2014 to May 29, 2014