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Theses

Datation automatique de photographies à partir de caractéristiques textuelles et visuelles

Paul Martin 1
1 Equipe Hultech - Laboratoire GREYC - UMR6072
GREYC - Groupe de Recherche en Informatique, Image, Automatique et Instrumentation de Caen
Abstract : In this thesis, we address the problem of automatic dating of old photographs using attributes from image and surrounding text. Over the last centuries, photography and metadata have undergone many mutations. In an informative and contextualizing vocation, we report our observations regarding these technological advances. This information helps to understand the evolution of photographs dating methods that have historically been studied manually before becoming recently automatic. We focused in a fundamental concept of dating : the ordinal nature of time. To this extent we studied ordinal classification methods and associated evaluation measures. In this thesis, we have built a large collection of web pages combining old photographs and text content. This collection aims at allowing both training and evaluation of the proposed models. This represents an advance in the field of photographs dating because no comparable data set previously existed. We propose an original model that we have developed and evaluated on image databases to date the photographs with their visual content. The major feature of our approach is the exploitation of the ordinal structure of time. This is to our knowledge the first use of this intrinsic characteristic of photographs dating. Moreover, we explore the dating of photographs by the use of the surrounding text data. In our approach, we mimic the human behavior used in the context of photographs dating. Thus we propose for the first time an automatic method for the dating of photographs by the use of the textual environment.
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  • HAL Id : tel-01260365, version 1

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Paul Martin. Datation automatique de photographies à partir de caractéristiques textuelles et visuelles. Informatique [cs]. Université Caen Normandie, 2015. Français. ⟨tel-01260365⟩

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