TY - JOUR
T1 - Developing the ArchAIDE Application
T2 - A digital workflow for identifying, organising and sharing archaeological pottery using automated image recognition
AU - Anichini, Francesca
AU - Banterle, Francesco
AU - Buxeda i Garrigós, Jaume
AU - Callieri, Marco
AU - Dershowitz, Nachum
AU - Dubbini, Nevio
AU - Diaz, Diego Lucendo
AU - Evans, Tim
AU - Gattiglia, Gabriele
AU - Green, Katie
AU - Gualandi, Maria Letizia
AU - Hervas, Miguel Angel
AU - Itkin, Barak
AU - Madrid i Fernandez, Marisol
AU - Gascón, Eva Miguel
AU - Remmy, Michael
AU - Richards, Julian
AU - Scopigno, Roberto
AU - Vila, Llorenç
AU - Wolf, Lior
AU - Wright, Holly
AU - Zallocco, Massimo
N1 - Publisher Copyright:
© 2019 Council for British Archaeology. All rights reserved.
PY - 2019
Y1 - 2019
N2 - Overiew of the ArchAIDE workflow (60 seconds). Taken from ArchAIDE consortium (2019) Pottery is of fundamental importance for understanding archaeological contexts, facilitating the understanding of production, trade flows, and social interactions. Pottery characterisation and the classification of ceramics is still a manual process, reliant on analogue catalogues created by specialists, held in archives and libraries. The ArchAIDE project worked to streamline, optimise and economise the mundane aspects of these processes, using the latest automatic image recognition technology, while retaining key decision points necessary to create trusted results. Specifically, ArchAIDE worked to support classification and interpretation work (during both fieldwork and post-excavation analysis) with an innovative app for tablets and smartphones. This article summarises the work of this three-year project, funded by the European Union's Horizon 2020 Research and Innovation Programme under grant agreement N.693548, with a consortium of partners representing both the academic and industry-led ICT (Information and Communications Technology) domains, and the academic and development-led archaeology domains. The collaborative work of the archaeological and technical partners created a pipeline where potsherds are photographed, their characteristics compared against a trained neural network, and the results returned with suggested matches from a comparative collection with typical pottery types and characteristics. Once the correct type is identified, all relevant information for that type is linked to the new sherd and stored within a database that can be shared online. ArchAIDE integrated a variety of novel and best-practice approaches, both in the creation of the app, and the communication of the project to a range of stakeholders.
AB - Overiew of the ArchAIDE workflow (60 seconds). Taken from ArchAIDE consortium (2019) Pottery is of fundamental importance for understanding archaeological contexts, facilitating the understanding of production, trade flows, and social interactions. Pottery characterisation and the classification of ceramics is still a manual process, reliant on analogue catalogues created by specialists, held in archives and libraries. The ArchAIDE project worked to streamline, optimise and economise the mundane aspects of these processes, using the latest automatic image recognition technology, while retaining key decision points necessary to create trusted results. Specifically, ArchAIDE worked to support classification and interpretation work (during both fieldwork and post-excavation analysis) with an innovative app for tablets and smartphones. This article summarises the work of this three-year project, funded by the European Union's Horizon 2020 Research and Innovation Programme under grant agreement N.693548, with a consortium of partners representing both the academic and industry-led ICT (Information and Communications Technology) domains, and the academic and development-led archaeology domains. The collaborative work of the archaeological and technical partners created a pipeline where potsherds are photographed, their characteristics compared against a trained neural network, and the results returned with suggested matches from a comparative collection with typical pottery types and characteristics. Once the correct type is identified, all relevant information for that type is linked to the new sherd and stored within a database that can be shared online. ArchAIDE integrated a variety of novel and best-practice approaches, both in the creation of the app, and the communication of the project to a range of stakeholders.
UR - http://www.scopus.com/inward/record.url?scp=85093871848&partnerID=8YFLogxK
U2 - 10.11141/IA.52.7
DO - 10.11141/IA.52.7
M3 - מאמר
AN - SCOPUS:85093871848
VL - 52
JO - Internet Archaeology
JF - Internet Archaeology
SN - 1363-5387
ER -