I am an Assistant Professor at the University of Tours. My research focus on the combination of Artificial Intelligence and Machine Learning with Human-Computer Interactions and Information Visualisation. Applications of my contributions occur in fields such as Digital Humanities, Assistive Technologies and Education, Health ...
In 2018-2019, I was a post-doctoral researcher in the University of Toulouse, where I combine Artificial Intelligence and Human-Computer Interactions to help Visually Impaired People life improvment (especially, the access to culture and education).
Previously, I was in Kyushu University (Fukuoka, Japan) for one year (2017-2018) as a post-doctoral researcher, collaborating with Pr. Seiichi Uchida on several topics related to Deep Learning (its understanding, explanation and usage).
From 2011 to 2017, I was in the Computer Science Laboratory of Tours (France), where I was successively a R&D engineer and a PhD student, while being a part-time lecturer.
Before my research activities, I worked for one year in Synapse Développement (Toulouse, France), as a software developer, right after receiving my M.S. in Computer Science in 2009 from the University of Toulouse.
The LIFAT laboratory (Tours city, France) (https://lifat.univ-tours.fr/) has published a dataset named STVD-FC "large-Scale TV Dataset - Fact Checking".
This dataset is dedicated to the French political content analysis and fact- checking having a particular focuss on the 2022 French presidential election.
It is publicly available under an intellectual property agreement / terms of use at the following link: https://dataset-stvd.univ-tours.fr/fc/
STVD-FC is the largest public dataset on the political content analysis and fact-checking tasks.
It consists of more than 1,200 fact-checked claims that have been scraped from a fact-checking service with associated metadata.
For the video counterpart, the dataset contains nearly 6,730 TV programs, having a total duration of 6,540 hours, with metadata.
These programs have been collected during the 2022 French presidential election with a dedicated workstation and protocol.
The dataset is delivered as different parts for accessibility of the 2 TB of data and proper indexes.
More information about the STVD-FC dataset can be found into the publication [1].
[1] F. Rayar, M. Delalandre and V.H. Le. A large-scale TV video and metadata database for French political content analysis and fact-checking. Conference on Content-Based Multimedia Indexing (CBMI), pp. 181–185, 2022.
Article
The PaRADIIT (Pattern Redundancy Analysis for Document Image Indexing and Transcription)
research project focused on layout analysis, text/graphics separation, Optical Character Recognition (OCR)
and text transcription processes dedicated to old and precious books.
The originality of the work relies upon the analysis and exploitation of pattern redundancy in documents
to enable the efficient indexing and quick transcription of books and the identification of typographic materials.
You can obtain more information about the PaRADIIT project
RETRO 2012 is one of the software of the PaRADIIT project.
Initially dedicated to transcription, it embed now tools regarding:
The PaRADIIT (Pattern Redundancy Analysis for Document Image Indexing and Transcription)
research project focused on layout analysis, text/graphics separation, Optical Character Recognition (OCR)
and text transcription processes dedicated to old and precious books.
The originality of the work relies upon the analysis and exploitation of pattern redundancy in documents
to enable the efficient indexing and quick transcription of books and the identification of typographic materials.
You can obtain more information about the PaRADIIT project
This Online Book Explorer, build as proof of concept, allows the users to easily interact with the digitized versions of historical books.
Using a web interface, the users can navigate, visualize, search and get annotated copies
of some specific elements of content extracted from historical books.
They can also exploit and even enrich the available meta-data obtained with the help of PaRADIIT indexing tools
by adding their own annotations on all the parts of the books.
Please, consult the Help, to quickly understand how to use the Book Explorer.
Spring 2012, Polytech'Tours purchased a Microsoft PixelSense (aka Microsoft Surface 2.0).
To exploit this brand new interactive surface computing platform, and hightlight the PaRADIIT work, I have built as a proof of concept, the application showed in the picture above.
In 2007-2008, Mitsuru Furada has developed a WPF & Silverlight FlippingBook Control (cf. his blog).
In 2009, Simon Bitschnau has ported this aplication in the Microsoft Surface, regarding the SDK 1.0 (cf. his blog).
To be able to use this control in the Samsung SUR40, second version of the table, I have adapted the application to be compatible with the SDK 2.0.
Sébastien Guillon, an engineer student in his Final Year, is currently working under my supervision, to enhance the application towards exploration and annotations of Historical Documents.
We will release an archive with FlippingBook Control for Surface SDK 2.0 (SFMitsuControls_SDK2.0), under LGPL v.3 license.
- SFMitsuControls SDK 2.0 has been released on 26th April 2013! -
Get an archive with FlippingBook Control for Surface SDK 2.0 here!
Juggling Lab is an desktop application for creating and animating juggling patterns. Its main goals are to help people learn juggling patterns, and to assist in inventing new ones.
Developped in java by Jack Boyce, this software is released under the GNU General Public License.
Current release: 0.6.1 (October 11, 2011).
You can obtain more information about Juggling Lab.
Developed in collaboration with Romain Richard, Juggling Lab for Android is the Android porting of Juggling Lab.
Following the main goals of the desktop version, it aims to embed a complete My Profile module, combined with social network sharing functionalities.
- v1.0 has been released on 1rst April 2013! -
Get the application for free on the Play Store!
The software is provided under LGPL v.3 license.
You can get the source and download an alpha version here.
SMSBackupRestore is HTML5/JavaScript application designed for Firefox OS.
It allow to save the SMS in a XML file.
Tested on a Geeksphone Keon smartphone under Boot2Gecko 1.1.0.0-prerelease.
- v1.0 has been released on September 27, 2013! -
You can get the source here.
Office 208
LIFAT
64 avenue Jean Portalis
37200 Tours - FRANCE