Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Laura Lopez Fuentes"'
Publikováno v:
Applied Sciences, Vol 10, Iss 24, p 8783 (2020)
During natural disasters, situational awareness is needed to understand the situation and respond accordingly. A key need is assessing open roads for transporting emergency support to victims. This can be done via analysis of photos from affected are
Externí odkaz:
https://doaj.org/article/7e025e668a62474dae6d38d7fc0a1c4f
Publikováno v:
2017 IEEE International Conference on Big Data (Big Data)
IEEE BigData
IEEE BigData
Floods are major natural disasters which cause deaths and material damages every year. Monitoring these events is crucial in order to reduce both the affected people and the economic losses. In this work we train and test three different Deep Learnin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c78f360b83dcd08d54c1f40f0d687db0
Publikováno v:
FUZZ-IEEE
In many computer vision applications, vignetting is an undesirable effect which must be removed in a pre-processing step. Recently, an algorithm for image vignetting correction has been presented by means of a minimization of log-intensity entropy. T
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2eacbe26a8a820439fa7672a242506d3
https://doi.org/10.1109/fuzz-ieee.2017.8015706
https://doi.org/10.1109/fuzz-ieee.2017.8015706
This paper proposes a novel method to optimize bandwidth usage for object detection in critical communication scenarios. We develop two operating models of active information seeking. The first model identifies promising regions in low resolution ima
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e4916802f6c2d9cb7881fa819b1aab7a
http://arxiv.org/abs/1701.04210
http://arxiv.org/abs/1701.04210
Autor:
Manuel González-Hidalgo, Joost van de Weijer, Laura Lopez-Fuentes, Andrew D. Bagdanov, Harald Skinnemoen
Publikováno v:
Multimedia Tools and Applications
In emergency situations, actions that save lives and limit the impact of hazards are crucial. In order to act, situational awareness is needed to decide what to do. Geolocalized photos and video of the situations as they evolve can be crucial in bett
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4956ef6e7ecc62decd6cabb8eb5a62ff
Publikováno v:
Advances in Computational Intelligence ISBN: 9783319192215
IWANN (2)
IWANN (2)
The correction of the vignetting effect in digital images is a key pre-processing step in several computer vision applications. In this paper, some corrections and improvements to the image vignetting correction algorithm based on the minimization of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::69d759472a200932093f82e946781b01
https://doi.org/10.1007/978-3-319-19222-2_38
https://doi.org/10.1007/978-3-319-19222-2_38
Publikováno v:
Applied Sciences, Vol 10, Iss 8783, p 8783 (2020)
Applied Sciences
Volume 10
Issue 24
Applied Sciences
Volume 10
Issue 24
During natural disasters, situational awareness is needed to understand the situation and respond accordingly. A key need is assessing open roads for transporting emergency support to victims. This can be done via analysis of photos from affected are
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a18cdb1a30b3ff76e87095d263b6da89