Populating the Reference Database Photographing Collections
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XIX, AIAC 2018 Populating the Reference Database Photographing Collections. Bonn, 25th of May 2018 Akademisches Kunstmuseum
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Populating the Reference Database Photographing Collections
- 1. Populating the Reference Database Photographing Collections Bonn, 25th of May 2018 Akademisches Kunstmuseum XIX. AIAC 2018
- 2. Population of the database Goals: • population of the newly designed database • establish import workflows • creation of a mapping tool for an import process After the first phase of the project: • Focus on collecting training data for the neural network in TelAviv. • Focus on collecting drawings of the types for the creation of 3D-Models Digitizing and Photographing
- 3. Amphorae Terra Sigillata Hispanica Terra Sigillata Italica Terra Sigillata South Gaulish Majolica Terra Sigillata Italica Stamps Pottery classes shape based approach image based approach
- 5. Intranet structure 293 types of amphorae 61 types of TSH 339 types of TSI 104 types of TSSG 86 decorative types of Majolica di Montelupo more than 10.000 extracted stamp drawings (Kenrick)
- 6. Development of a typology of Majolica from Barcelona
- 7. ArchAIDE DB digitized catalogues ADS CERMALEX user input Digitising and Photographing
- 8. dataimport
- 9. dataimport
- 11. Digitization
- 12. ArchAIDE DB digitized catalogues OCR (semi)struct ured data automized importmanual import dataimport
- 13. Digitization Examples of digitized catalogues • AAVV, Concpectus Formarum Terrae Sigillatae italico modo confectae • Berti, Storia delle Ceramica di Montelupo (4 Volumes) • Dragendorff, Terra Sigillata • Fornaciari, La sostanza delle Forme: Morfologia e cronotipologia della Maiolica di Montelupo Fiorentino • Gempeler, Elephantine X, Die Keramik römischer bis früharabischer Zeit • Hayes, Late Roman Pottery • Medri, Terra sigillata tardo italica decorate • Mayet, Les Céramiques Sigellées Hispaniques • Oxé-Comfort-Kenrick, Corpus Vasorum Arretinorum. A Catalogue of the Signatures, Shapes and Chronology of Italian Sigillata
- 15. Photo campaigns to get data for the verification of the neural network The trained neural network needs sherds to verify the results out of synthetic-sherds-training. UNIPI, UB, Baraka and Elements carried out campaigns to gather photos. Guidelines for the workflow had to be established to get the best possible results. Digitising and Photographing
- 16. DOCUMENTATION OF CERAMICS FOR THE DATABASE POPULATION (PHOTOS OF THE MUHBA COLLECTION AND ARQUB DATABASE)
- 17. DOCUMENTATION OF CERAMICS FOR THE DATABASE POPULATION (PHOTOS OF COLLECTIONS IN ITALY)
- 18. DOCUMENTATION OF CERAMICS FOR THE DATABASE POPULATION (PHOTOS OF COLLECTION IN MAGDALENSBERG)
- 19. Tasks for the future • Population of the database with textual and pictorial information • Evaluation of the results of the neural network • Connection of database to the mobile application outlook
- 20. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement N.693548 The views and opinions expressed in this presentation are the sole responsibility of the authors and do not necessarily reflect the views of the European Commission.