Zobrazeno 1 - 10
of 70
pro vyhledávání: '"Pixel-labeling"'
Autor:
Mohammed Alonazi, Asifa Mehmood Qureshi, Saud S. Alotaibi, Nouf Abdullah Almujally, Naif Al Mudawi, Abdulwahab Alazeb, Ahmad Jalal, Jaekwang Kim, Moohong Min
Publikováno v:
IEEE Access, Vol 11, Pp 80973-80985 (2023)
Autonomous vehicle detection and tracking are crucial for intelligent transportation management and control systems. Although many techniques are used to develop smart traffic systems, this article discusses vehicle detection and tracking using pixel
Externí odkaz:
https://doaj.org/article/cfad66a81bc749279c40dc2b61b19462
Publikováno v:
IEEE Access, Vol 9, Pp 111249-111266 (2021)
Human-Object Interaction (HOI) recognition, due to its significance in many computer vision-based applications, requires in-depth and meaningful details from image sequences. Incorporating semantics in scene understanding has led to a deep understand
Externí odkaz:
https://doaj.org/article/beeae16cd98842b991d1f2f699bc8b9d
Publikováno v:
IEEE Access, Vol 9, Pp 111249-111266 (2021)
Human-Object Interaction (HOI) recognition, due to its significance in many computer vision-based applications, requires in-depth and meaningful details from image sequences. Incorporating semantics in scene understanding has led to a deep understand
Autor:
Maroua Mehri, Ramzi Chaieb, Karim Kalti, Pierre Héroux, Rémy Mullot, Najoua Essoukri Ben Amara
Publikováno v:
Journal of Imaging, Vol 4, Iss 8, p 97 (2018)
Recently, texture features have been widely used for historical document image analysis. However, few studies have focused exclusively on feature selection algorithms for historical document image analysis. Indeed, an important need has emerged to us
Externí odkaz:
https://doaj.org/article/995aee0fa9bb4ce8aee2e2deff64564a
Akademický článek
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Akademický článek
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Autor:
Maroua Mehri, Pierre Héroux, Jean-Philippe Moreux, Bertrand Coüasnon, Rémy Mullot, Bill Barrett
Publikováno v:
15th International Conference on Document Analysis and Recognition
15th International Conference on Document Analysis and Recognition, Sep 2019, Sydney, Australia
ICDAR
15th International Conference on Document Analysis and Recognition, Sep 2019, Sydney, Australia
ICDAR
International audience; In this paper, we present an evaluative study of pixel-labeling methods using the HBA 1.0 dataset for historical book analysis. This study is held in the context of the 2 nd historical book analysis (HBA2019) competition and i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::baef903ce5317e4edd33db539cf41d7a
https://hal.science/hal-02490897/document
https://hal.science/hal-02490897/document
Akademický článek
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K zobrazení výsledku je třeba se přihlásit.
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Publikováno v:
International Journal of Approximate Reasoning
International Journal of Approximate Reasoning, Elsevier, 2018, 102, pp.41-59. ⟨10.1016/j.ijar.2018.08.001⟩
International Journal of Approximate Reasoning, Elsevier, 2018, 102, pp.41-59. ⟨10.1016/j.ijar.2018.08.001⟩
International audience; Pixel labeling problem stands among the most commonly considered topics in image processing. Many statistical approaches have been developed for this purpose, particularly in the frame of hidden Markov random fields. Such mode
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::162fdafe56da1605504197872f5fc651
https://hal.archives-ouvertes.fr/hal-01862625
https://hal.archives-ouvertes.fr/hal-01862625
Autor:
Karim Kalti, Rémy Mullot, Pierre Héroux, Ramzi Chaieb, Maroua Mehri, Najoua Essoukri Ben Amara
Publikováno v:
Journal of Imaging, Vol 4, Iss 8, p 97 (2018)
Journal of Imaging
Journal of Imaging, MDPI, 2018, New Trends in Image Processing for Cultural Heritage, 4 (8), pp.97. ⟨10.3390/jimaging4080097⟩
Volume 4
Issue 8
Journal of Imaging
Journal of Imaging, MDPI, 2018, New Trends in Image Processing for Cultural Heritage, 4 (8), pp.97. ⟨10.3390/jimaging4080097⟩
Volume 4
Issue 8
International audience; Recently, texture features have been widely used for historical document image analysis. However, few studies have focused exclusively on feature selection algorithms for historical document image analysis. Indeed, an importan