Výsledky vyhledávání - "Rémy Mullot"

Akademický článek

A Comparative Study of Two State-of-the-Art Feature Selection Algorithms for Texture-Based Pixel-Labeling Task of Ancient Documents

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Recently, texture features have been widely used for historical document image analysis. However, few studies have focused exclusively on feature selection algorithms for historical document image analysis.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

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Alternative patterns of the multidimensional Hilbert curve

Autor: Jean-Marc Ogier, Patrick Franco, Giap Nguyen, Rémy Mullot

Publikováno v: Multimedia Tools and Applications. 77:8419-8440

Locality-preserving (distance preserving-mapping) is a useful property to manage multidimensional data. Close points in space remain -as much as possible- close after mapping on curve. That is why Hilbert space-filling curve is used in many domains a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::6282f585cda8131a677d258208c51888
https://doi.org/10.1007/s11042-017-4744-4

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Space-Filling Curve: A Robust Data Mining Tool

Autor: Patrick Franco, Valentin Owczarek, Rémy Mullot

Publikováno v: Proceedings of the Future Technologies Conference (FTC) 2019
Proceedings of the Future Technologies Conference (FTC) 2019, 1069, Springer, Cham, pp.663-675, 2019, Advances in Intelligent Systems and Computing, ⟨10.1007/978-3-030-32520-6_49⟩
Advances in Intelligent Systems and Computing ISBN: 9783030325190

International audience; Due to the development of internet and the intensive social network communications, the number of data grows exponentially in our society. In response, we need tools to discover structures in multidimensional data. In that con

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::857fe18ab86d410b098cd4f73f908ce8
https://hal.archives-ouvertes.fr/hal-02319253

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ICDAR2019 Competition on Historical Book Analysis -HBA2019

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

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

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A Comparative Study of Two State-of-the-Art Feature Selection Algorithms for Texture-Based Pixel-Labeling Task of Ancient Documents

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

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

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fef5df865c7d569e5c18efeb5b12fba3
http://www.mdpi.com/2313-433X/4/8/97

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HBA 1.0: A Pixel-based Annotated Dataset for Historical Book Analysis

Autor: Rémy Mullot, Maroua Mehri, Pierre Héroux, Bill Barrett, Bertrand Coüasnon, Jean-Philippe Moreux

Publikováno v: International Workshop on Historical Document Imaging and Processing (HIP)
International Workshop on Historical Document Imaging and Processing (HIP), Nov 2017, Kyoto, Japan
International Workshop on Historical Document Imaging and Processing (HIP), Nov 2017, Kyoto, Japan. ⟨10.1145/3151509.3151528⟩
HIP@ICDAR

International audience; This paper introduces HBA 1.0, a representative pixel-based annotated dataset which is released at the IC-DAR2017 Competition on Historical Book Analysis (HBA2017). The HBA 1.0 dataset is composed of 4,436 real scanned ground

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e2d8a4471926e8c4a64350f2df94414b
https://hal.archives-ouvertes.fr/hal-01637826/file/MarouaMEHRI_HIP2017_Article-h.pdf

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Page Retrieval System in Digitized Historical Books Based on Error-tolerant Subgraph Matching

Autor: Pierre Héroux, Julien Lerouge, Maroua Mehri, Rémy Mullot

Publikováno v: International Conference on Document Analysis and Recognition (ICDAR)
International Conference on Document Analysis and Recognition (ICDAR), Nov 2017, Kyoto, Japan
ICDAR

International audience; Developing smart ways of interacting with scanners is one of the emerging needs identified by numerous digitization professionals. To achieve better interaction with scanners, the research community in historical document imag

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9bceacddb6a2deec686a66d59945f417
https://hal.archives-ouvertes.fr/hal-01637823

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Texture feature benchmarking and evaluation for historical document image analysis

Autor: Pierre Héroux, Petra Gomez-Krämer, Rémy Mullot, Maroua Mehri

Publikováno v: International Journal on Document Analysis and Recognition
International Journal on Document Analysis and Recognition, Springer Verlag, 2017, pp.1-35. ⟨10.1007/s10032-016-0278-y⟩

International audience; The use of different texture-based methods is pervasive in different sub-fields and tasks of document image analysis and particularly in historical document image analysis. Nevertheless, faced with a large diversity of texture

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6fede3189aa6f3f76dc4625b9148e6b6
https://hal.inria.fr/hal-01429375/document

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A structural signature based on texture for digitized historical book page categorization

Autor: Rémy Mullot, Julien Lerouge, Petra Gomez-Krämer, Maroua Mehri, Pierre Héroux

Publikováno v: International Conference on Document Analysis and Recognition (ICDAR)
International Conference on Document Analysis and Recognition (ICDAR), Aug 2015, Nancy, France. pp.116-120, ⟨10.1109/ICDAR.2015.7333737⟩
ICDAR

International audience; The work conducted in this article presents a structural signature based on texture for the characterization and categorization of digitized historical book pages. The proposed signature does not assume a priori knowledge rega

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2dc0ffd307f594cf3a41eced49de9cb3
https://hal.inria.fr/hal-01237209

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A bottom-up method using texture features and a graph-based representation for lettrine recognition and classification

Autor: Julien Lerouge, Rémy Mullot, Petra Gomez-Krämer, Pierre Héroux, Mickael Coustaty, Maroua Mehri

International audience; This article tackles some important issues relating to the analysis of a particular case of complex ancient graphic images, called " lettrines " , " drop caps " or " ornamental letters ". Our contribution focuses on proposing

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::309ceb557995b86aacd2020e5b1e8c21
https://hal.inria.fr/hal-01237207/document

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