7 research outputs found

    Redocumentariser la Tapisserie de Bayeux : base de donnĂ©es documentaire et systĂšme d’informations spatialisĂ©es

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    Dans le cadre du projet de refonte du MusĂ©e de la Tapisserie de Bayeux Ă  l’horizon 2024, menĂ© par la Ville de Bayeux et la DRAC Normandie, en collaboration avec la rĂ©gion Normandie et le dĂ©partement Calvados, des outils numĂ©riques permettant de dĂ©couvrir et d’étudier la Tapisserie sous un angle nouveau ont Ă©tĂ© Ă©laborĂ©s.Ces outils consistent en un « SystĂšme d’information documentaire spatialisĂ©e » (SIDS), combinaison d’un systĂšme documentaire et d’un systĂšme d’information spatialisĂ©. Ils offrent des solutions de gestion et de valorisation des ressources documentaires relatives Ă  la Tapisserie de Bayeux, et doivent Ă  terme accompagner l’ensemble des publics qui s’intĂ©ressent Ă  l’Ɠuvre, notamment les chercheurs en sciences humaines, les conservateurs-restaurateurs, les spĂ©cialistes du textile, le grand public. Ce projet est le fruit d’un Ă©troit partenariat entre l’État, la Ville de Bayeux, l’universitĂ© de Caen Normandie, le CNRS et l’Ensicaen.Alongside the renewal of the Bayeux Tapestry Museum planned for 2024, led by the city of Bayeux, the DRAC Normandy, the Normandy region and the Calvados department, several numeric tools have been created to discover and examine the Tapestry in new ways.Those tools consist in a Spatialised Document Information System (SDIS), combining a Document database and a Spatialised information system. They offer solutions to manage and to enhance documentary resources related to the Bayeux Tapestry and should, at the end, accompany all the persons interested in the Tapestry, particularly scholars in Humanities, curators-restorers, specialists in textile and the public. This project is the result of a close collaboration between the State, the city of Bayeux, the University of Caen Normandy, the CNRS and the Ensicaen.Nell’ambito del progetto di ristrutturazione del Museo dell’Arazzo di Bayeux che dovrebbe concludersi nel 2024, portato avanti dalla CittĂ  di Bayeux e dalla DRAC Normandie, in collaborazione con la regione Normandia e il dipartimento del Calvados, sono stati elaborati nuovi strumenti informatici che permettono di scoprire e studiare l’Arazzo da un nuovo punto di vista.Questi strumenti consistono in un « Sistema d’informazione documentaria spazializzata » (SIDS), combinazione di un sistema documentario e di un sistema d’informazione spazializzato. Essi offrono delle soluzioni di gestione e di valorizzazione delle fonti documentarie relative all’Arazzo di Bayeux, e devono accompagnare i vari fruitori dell’opera, soprattutto i ricercatori in scienze umane, i conservatori-restauratori, gli specialisti del tessile, il grande pubblico. Questo progetto Ăš il frutto di uno stretto partenariato tra lo Stato, la CittĂ  di Bayeux, l’UniversitĂ  di Caen Normandie, il CNRS e l’ENSICAEN

    La reconstruction du panorama de la « Tapisserie de Bayeux » comme fond de rĂ©fĂ©rence d’un systĂšme d’information documentaire spatialisĂ©e

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    L’État et la Ville de Bayeux s’associent Ă  l’UniversitĂ© de Caen-Normandie et au CNRS pour la conception et le dĂ©veloppement d’un outil numĂ©rique d’étude et de valorisation de la Tapisserie de Bayeux, broderie mĂ©diĂ©vale du XIe siĂšcle, classĂ©e au titre des monuments historiques. Il consiste en un « systĂšme d’information documentaire spatialisĂ©e » (SIDS), s’inspirant d’un SIG (systĂšme d’information gĂ©ographique) classique, crĂ©Ă© Ă  l’échelle de l’Ɠuvre. Cet outil permettra l’exploitation des donnĂ©es documentaires et scientifiques sur l’Ɠuvre, gĂ©orĂ©fĂ©rencĂ©es sur une reprĂ©sentation haute dĂ©finition de la Tapisserie. Sa rĂ©alisation rĂ©pond Ă  diffĂ©rentes problĂ©matiques comme le traitement des images pour la crĂ©ation de ce fond de rĂ©fĂ©rence, obtenu Ă  partir d’une suite de clichĂ©s numĂ©riques. Construire ainsi un panorama est une problĂ©matique connue dans le domaine de l’analyse et le traitement de l’image. Cependant, cette broderie prĂ©sente certaines contraintes, comme son support non rigide et sa taille exceptionnelle, de prĂšs de 70 m, soit une image totale de 480 000 x 6 000 pixels qui rend ces algorithmes existants obsolĂštes. En contact direct avec les Ă©quipes de l’UniversitĂ© de Caen impliquĂ©es, le GREYC a dĂ©veloppĂ© une approche basĂ©e sur le matching des points d’intĂ©rĂȘts SIFT et un algorithme de fusion basĂ© sur un modĂšle de dĂ©formation gĂ©omĂ©trique Ă©lastique afin de conserver la structure de l’Ɠuvre. Cette approche conserve la qualitĂ© des images, sans limite de nombre ou de types, et permet aujourd’hui un accĂšs facilitĂ© Ă  cette Ɠuvre majeure.The services of the State and of the City of Bayeux have joined forces with the University of Caen-Normandy and with the CNRS in order to design and develop a digital tool for the study and interpretation of the so-called Bayeux Tapestry, an eleventh-century medieval embroidery which is listed in France as a historic monument. This project involves a spatialised documentary information system inspired by a classic geographical information system but adapted to the scale of the embroidery. This tool will allow for the management of documentary and scientific information about the work, geo-referenced to a high definition representation of the tapestry. The realisation of the project involves finding answers to a number of questions such as the production of images for the tool, obtained from a series of digital photographs. Building up a panorama in this way is not an innovation in the field of image treatment and analysis. But the Bayeux tapestry presents certain specific constraints, such as its non-rigid backing and the mere size of the piece, 70 metres long. This means a total image of 480,000 x 6,000 pixels, making existing algorithms obsolete. In direct contact with the University teams involved, the GREYC has developed an approach based on matching up the SIFT interest points and a fusion algorithm based on a model of elastic geometrical deformation, in order to respect the structure of the tapestry. This approach allows for the high quality of the images to be preserved, without any limit to their number or type, and today facilitates access to this major work

    La reconstruction du panorama de la « Tapisserie de Bayeux » comme fond de rĂ©fĂ©rence d’un systĂšme d’information documentaire spatialisĂ©e

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    The services of the State and of the City of Bayeux have joined forces with the University of Caen-Normandy and with the CNRS in order to design and develop a digital tool for the study and interpretation of the so-called Bayeux Tapestry, an eleventh-century medieval embroidery which is listed in France as a historic monument. This project involves a spatialised documentary information system inspired by a classic geographical information system but adapted to the scale of the embroidery. This tool will allow for the management of documentary and scientific information about the work, geo-referenced to a high definition representation of the tapestry. The realisation of the project involves finding answers to a number of questions such as the production of images for the tool, obtained from a series of digital photographs. Building up a panorama in this way is not an innovation in the field of image treatment and analysis. But the Bayeux tapestry presents certain specific constraints, such as its non-rigid backing and the mere size of the piece, 70 metres long. This means a total image of 480,000 x 6,000 pixels, making existing algorithms obsolete. In direct contact with the University teams involved, the GREYC has developed an approach based on matching up the SIFT interest points and a fusion algorithm based on a model of elastic geometrical deformation, in order to respect the structure of the tapestry. This approach allows for the high quality of the images to be preserved, without any limit to their number or type, and today facilitates access to this major work

    Guidelines for the use and interpretation of assays for monitoring autophagy (3rd edition)

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    Erratum to: Guidelines for the use and interpretation of assays for monitoring autophagy (3rd edition) (Autophagy, 12, 1, 1-222, 10.1080/15548627.2015.1100356

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