Thierry Joliveau

A New Algorithm for 3D Isovists

Isovist or vision field computing is an interesting topic with many applications in different fields: security, wireless network design, or landscape management. In all existing solutions, a 3D environment appears to be the most challenging task and few solutions exist for detecting the obstacles that limit the vision field. In this paper a new algorithm is presented for isovist calculation that can detect all objects, which block the sight in a 2D and 3D environment. Then, a demonstration with GIS data is given and some visibility indices are also presented.

GeoStream: Spatial Information Indexing Within Textual Documents Supported by a Dynamically Parameterized Web Service

Cultural heritage content is everywhere on the web: digital libraries, archives, and portals of museums or galleries. Cultural heritage document collections are characterized by contents related to a territory and its lands history. In this context, the GeoTopia project is supported by the CNRS-TGE-Adonis and focuses on archive data sharing and interpretation. It consists in a Content Management System (CMS) that aims to manage a repository of multimedia digital documents: it exploits information like origin, theme, period, area, etc. to index and/or query documents. Our contribution is dedicated to spatial information contained in non structured textual documents. More specifically, we have developed a process flow that can extract the spatial information contained in textual documents. This process flow indexes spatial information and computes precise geolocalized representations. We propose to encapsulate it into the GeoStream specific web service and to make its behavior dynamically customizable for easier integration into such platforms used for the management of cultural heritage electronic documents

Toward the Spatial and Temporal Management of Documents: The GéoTopia Platform

Abstract GeoTopia is an online platform designed to promote the publication, distribution, exchange, discussion, and analysis of archive data. As an original feature, it incorporates functions for the spatial and temporal management of relatively informal documents of complex structure, such as images, drawings, and texts. A map interface allows the archiving, consultation, and handling of georeferenced documents by means of a zoom bar and a timeline. Display by map juxtaposition facilitates the comparison of two documents. Two Web services with adjustable parameters, GeoStream and TempoStream, have been developed to aid users with the spatial and temporal indexing of the texts that they integrate into the GeoTopia platform. The result of the spatial indexing is displayed on the base map in the form of thumbnail images showing the spatial references extracted from the text, which the user can validate, either wholly or in part.

France: Dogmatic Innovations, Innovative Teachers, and Parallel Experimentations

In this chapter we draw a portrait of the use of geotechnologies in France in secondary schools. In France, dogmatic innovations fostered by educational authorities, isolated innovative teachers and parallel experimentations such as project-based learning or game-based learning, coexist separately. As a result, we advocate for an interoperability framework in order to facilitate the diffusion and the convergence of rich and various local initiatives.

Automated Geoparsing of Paris Street Names in 19th Century Novels

Our project involves building a platform able to retrieve, map and analyze the occurrences of place names in fictional novels published between 1800 and 1914 and whose action occurs wholly or partly in Paris. We describe a proof of concept using queries made via the TXM textual analysis platform for the extraction of street names. Then, we propose a fully automatic process using the named entity recognition (NER) components of the PERDIDO platform. This paper describes some encouraging initial results obtained by combining NLP approaches (NER methods) with textometric tools for the automated geoparsing of street names.

Modéliser la marche urbaine et les relations environnement-usagers dans un SIG - Application à la ville de Luxembourg

Proposer un modele d’accessibilite pietonne adapte aux besoins de chacun necessite de considerer les interactions existantes entre les elements de l’environnement a traverser et les caracteristiques physiques de l’usager, au-dela de la simple prise en compte de references de vitesse ou de capacite moyenne d’acces. Des lors, afin de creer une base de donnees specifique aux deplacements pietons, un ensemble de protocoles et de methodes d’acquisition et d’analyses est propose. Implementee dans un systeme d’information geographique, cette base de donnees permet finalement de qualifier les troncons constituant le reseau en fonction du terrain et d’identifier des espaces aux profils plus ou moins favorables a l’accessibilite pietonne selon les specificites de chacun.

Line Matching for Integration of Photographic and Geographic Databases

The aim of this chapter is to describe a new method for assigning a geographical position to an urban picture. The method is based only on the content of the picture. The photograph is compared to a sample of geolocated 3D images generated automatically from a virtual model of the terrain and the buildings. The relation between the picture and the images is built through the matching of detected lines in the photograph and in the image. The lines extraction is based on the Hough transform. This matching is followed by a statistical analysis to propose a probable location of the picture with an estimation of accuracy. The chapter presents and discusses the results of an experiment with data about Saint-Etienne, France and ends with proposals for improving and extending the method.

Reconnaissance de bâtiments et localisation de photographies au moyen d'un descripteur de texture

RESUME. La reconnaissance automatique des bâtiments est une etape essentielle pour la realite augmentee et un outil possible pour la geolocalisation d’une prise de vue. Les recherches dans ce domaine n’utilisent pas la localisation par contenu de l’image. Cet article presente une methodologie pour l’enrichissement d’une base de donnees urbaine SIG grâce a un descripteur de texture de facade calcule sur des images de reference. Cet indicateur est ensuite utilise pour retrouver ce bâtiment dans une nouvelle image et le localiser dans une base de donnees SIG 3D afin d’estimer sa position et son orientation dans le repere de l’appareil photographique qui a pris le cliche. La qualite des resultats obtenus fait l’objet d’une discussion.