[visionlist] PhD position on the Automatic classification of photographic images for spatio-temporal monitoring of restoration sites (France)

[Valerie Gouet]

**** Call for 1 PhD position

* Title: Automatic classification of photographic images for spatio-temporal monitoring of restoration sites

* Full description of the proposal (with application procedure): https://www.umr-lastig.fr/vgouet/News/ND_sujet_these_FSP_2021-EN.pdf

* Abstract

Over the last decade, a large number of digital documentation projects have demonstrated the potential
of image-based modeling (photo modeling, photogrammetry, ...) of heritage objects in the context of
documentation, conservation and restoration. The inclusion of these emerging methods in the daily
monitoring of the activities of a heritage restoration site (context in which hundreds of photographs per
day can be acquired by multiple actors and according to several observation and analysis needs) raises
new questions at the intersection of big data management and of the semantic enrichment and the
automatic classification of this data, for the purpose of searching by content similarity. This PhD project
has the ambition to introduce a disruptive approach for the massive processing of large collections of
photographs, distributed in space and time. This project is part of the CNRS and French Ministry of
Culture scientific workcamp for the restoration of Notre-Dame de Paris and, in particular, within the
framework of a working group in charge of building a "digital ecosystem" capable of evolving as the
studies progress, by progressively centralizing the resources collected, produced, analyzed and
interpreted by the scientists and professionals involved in the restoration workcamp. Through
interactions with the working groups involved in this scientific work site (wood/charpente, stone, stained
glass, metals, structure, acoustics, heritage emotions, etc.), the problem of automatic indexing of
masses of photographs will be addressed by combining several complementary 2D/3D semantic
enrichment methods.

* Keywords: heritage science, computer vision, content-based retrieval, multimodal data analytics, data
semantics.

* PhD supervision team

- Dan Vodislav, ETIS, CY Cergy Paris Université: http://depinfo.cyu.fr/~vodislav
- Livio De Luca, MAP, CNRS/Ministère de la Culture, http://www.map.cnrs.fr/ldl
- Valerie Gouet-Brunet, LASTIG, IGN-ENSG, Univ. Gustave Eiffel : https://www.umr-lastig.fr/vgouet/

* Workplace

This thesis is supervised by three French teams located in the Paris area (ETIS, LASTIG) and in Marseille, South of France (MAP).
The place of work will be established according to the profile of the candidate's profile.

* Application deadline

April 15, 2021

--
Valerie Gouet-Brunet
Senior researcher / Directrice de recherche (DR1) du MTES
LASTIG Lab.
Univ. Gustave Eiffel / IGN (French mapping agency)
73, Avenue de Paris - F94165 Saint-Mande CEDEX
Tel. +33 (0)1 43 98 62 10
https://www.umr-lastig.fr/vgouet/

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