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services:seminars:dchforum2015seminar [2015/06/29 14:33] – hart | services:seminars:dchforum2015seminar [2015/07/02 11:55] – [LIBER Forum for Digital Cultural Heritage] lefferts | ||
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====LIBER Forum for Digital Cultural Heritage==== | ====LIBER Forum for Digital Cultural Heritage==== | ||
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+ | The **LIBER Forum for Digital Cultural Heritage**, co-chaired with CERL, organised a seminar on //The State of the Art in Image Recognition//, | ||
- | The **LIBER Forum for Digital Cultural Heritage**, co-chaired with CERL, organised a seminar on //The State of the Art in Image Recognition// | + | Please contact Claudia Fabian (BSB and Chairman of the DCH Forum, claudia.fabian@bsb-muenchen.de) or Marian Lefferts (CERL and Secretary of the DCH Forum, marian.lefferts@cerl.org) if you want to join the Forum Digital Cultural Heritage. |
- | London, Senate House, LIBER 2015, 24 June 2015 | + | |
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- | Please contact Claudia Fabian (BSB and Chairman of the DCH Forum, claudia.fabian@bsb-muenchen.de) or Marian Lefferts (CERL and Secretary of the DCH Forum, marian.lefferts@cerl.org) if want to join the Forum Digital Cultural Heritage. | + | |
**Programme** | **Programme** | ||
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* In this talk the use of image recognition techniques in the EAGLE project was introduced. EAGLE (European network of Ancient Greek and Latin Epigraphy) is a CIP-Best Practice Network (partially) funded by the European Commission. The EAGLE comprehensive collection of inscriptions (about 80% of the surviving material) is accessible through a user-friendly portal, which supports searching and browsing of the epigraphic material. In order to increase the usefulness and visibility of its content, EAGLE has also developed a mobile application that enables tourists and scholars to obtain detailed information about the inscriptions they are looking at by simply pointing their smartphone camera at them. Image recognition techniques are used to identify the inscriptions seen through the smartphone and provide users with related information. The slides may be downloaded [[http:// | * In this talk the use of image recognition techniques in the EAGLE project was introduced. EAGLE (European network of Ancient Greek and Latin Epigraphy) is a CIP-Best Practice Network (partially) funded by the European Commission. The EAGLE comprehensive collection of inscriptions (about 80% of the surviving material) is accessible through a user-friendly portal, which supports searching and browsing of the epigraphic material. In order to increase the usefulness and visibility of its content, EAGLE has also developed a mobile application that enables tourists and scholars to obtain detailed information about the inscriptions they are looking at by simply pointing their smartphone camera at them. Image recognition techniques are used to identify the inscriptions seen through the smartphone and provide users with related information. The slides may be downloaded [[http:// | ||
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//Image recognition and image similarity: A different approach for accessing large scale digital collections// | //Image recognition and image similarity: A different approach for accessing large scale digital collections// | ||
* {{: | * {{: | ||
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9.55 **Cristina Dondi** (Oakeshott Senior Research Fellow in the Humanities, Lincoln College, University of Oxford and Secretary of the Consortium of European Research Libraries (CERL))\\ | 9.55 **Cristina Dondi** (Oakeshott Senior Research Fellow in the Humanities, Lincoln College, University of Oxford and Secretary of the Consortium of European Research Libraries (CERL))\\ | ||
//Material Evidence in Incunabula (MEI) database and images//\\ | //Material Evidence in Incunabula (MEI) database and images//\\ | ||
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10: | 10: | ||
//Image recognition in the 15cBOOKTRADE project// | //Image recognition in the 15cBOOKTRADE project// | ||
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//Document and library visualization// | //Document and library visualization// | ||
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12:00 Lunch | 12:00 Lunch | ||
13:00 Opening ceremony LIBER 44th Annual Conference | 13:00 Opening ceremony LIBER 44th Annual Conference |
services/seminars/dchforum2015seminar.txt · Last modified: 2024/05/01 08:59 by lefferts