Skip to content. | Skip to navigation

Personal tools

Sections

Consider the world interacting

  • Logo CNRS
  • Logo ENSL
  • logo-enssib.jpg
You are here: Home / Agenda / évènements / Computer vision for the investigation of ancient documents

Computer vision for the investigation of ancient documents

When Apr 06, 2023 01:30 to
Apr 07, 2023 04:00
Where Université Jean Monnet - Saint-Etienne - Campus Manufacture – Bâtiment des forges – Amphi L206
Add event to calendar vCal
iCal

The workshop is organided by the ANR-founded Rey’s Ornament Image investigation project. It will echo projects for the development of computer vision tools aiming to help human experts in their analysis of ancient documents. It will allow discussion about recent methods in machine learning likely to improve or extend capabilities of image retrieval and query image analysis.

 

Thursday 6, April 2022 (1:30 pm 5 pm)

1:30 pm Welcoming of the participants

2:00 pm Opening of the session

  • IA tools for document and image analysis in a digital library: feedback from the BnF Jean-Philippe Moreux (BnF)
  • The NLS-VGG chapbooks project: visual analysis of chapbook illustrations Giles Bergel and Abhishek Dutta (University of Oxford, VGG)
  • Visual Communication During the Reformation: Applying Computer Vision to the Ornamento Image Corpus Drew Thomas (University College Dublin)
  • Extract, categorize and group ornaments from Rey Vincent Ventresque (Université Jean Monnet, IHRIM) and Thomas Gautrais (Université Jean Monnet, Laboratoire Hubert Curien)

5 :00 Session closure


Friday 7, April 2022 (8 :30 am 4 pm)

8:30 Session 2

  • Searching through Large Image Collections Prasanna Sridhar (University of Oxford, VGG)
  • Copy detection and historical image collation Mathieu Aubry (École des Ponts Paris Tech, LIGM-Imagine)
  • One-class change detection for taxon comparison/grouping Thierry Fournel (UJM-Lab H. Curien)
  • Simultaneous Learning and Compression of Deep Networks Abhijit Mahalanobis (University of Arizona)

11:30 am Lunch time 1:30 pm Session 3

  • Analysis-by-synthesis for interpretable image decomposition Mathieu Aubry (École des Ponts Paris Tech, LIGM-Imagine)
  • Unsupervised image decomposition into objects Remi Emonet (Université Jean Monnet, Laboratoire Hubert Curien)

3.00 Discussions with experts in digital humanities

4:00 pm Workshop closure

 

Contact: christelle.porte@univ-st-etienne.fr ; fournel@univ-st-etienne.fr ; fabienne.vial@univ-st-etienne.fr

 

Computer vision for the investigation of ancient documents