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pro vyhledávání: '"Maczyta, Léo"'
Publikováno v:
In Pattern Recognition Letters 1 December 2019 128:298-305
Akademický článek
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Autor:
Maczyta, Léo
Publikováno v:
Signal and Image processing. Université Rennes 1, 2020. English. ⟨NNT : 2020REN1S046⟩
Our thesis research is concerned with the estimation of motion saliency in image sequences. First, we have defined an original method to detect frames in which a salient motion is present. For this, we propose a framework relying on a deep neural net
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______212::70a73cc7a29d27dce471364f8d1ddaf9
https://hal.inria.fr/tel-03087274v2/file/MACZYTA_Leo.pdf
https://hal.inria.fr/tel-03087274v2/file/MACZYTA_Leo.pdf
Autor:
Maczyta, Léo
Publikováno v:
Computer Vision and Pattern Recognition [cs.CV]. UNIVERSITÉ DE RENNES 1, 2020. English
Signal and Image processing. Université Rennes 1, 2020. English. ⟨NNT : 2020REN1S046⟩
Signal and Image processing. Université Rennes 1, 2020. English. ⟨NNT : 2020REN1S046⟩
Our thesis research is concerned with the estimation of motion saliency in image sequences. First, we have defined an original method to detect frames in which a salient motion is present. For this, we propose a framework relying on a deep neural net
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::284e2908925ff9a806a32e4ef97df497
https://hal.inria.fr/tel-03087274
https://hal.inria.fr/tel-03087274
Publikováno v:
RFIAP 2018-Reconnaissance des Formes, Image, Apprentissage et Perception
RFIAP 2018-Reconnaissance des Formes, Image, Apprentissage et Perception, Jun 2018, Marne-la-Vallée, France. pp.1-8
RFIAP 2018-Reconnaissance des Formes, Image, Apprentissage et Perception, Jun 2018, Marne-la-Vallée, France. pp.1-8
National audience; We address the problem of motion saliency in videos. More precisely, we aim to determine at each time step if an image can be classified as salient or not according to its motion content. An image will be detected as salient if it
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::13d99ff0f366f50806cf37d66db3a426
https://hal.inria.fr/hal-01926351/document
https://hal.inria.fr/hal-01926351/document