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ReInHerit Webinar- Artificial Intelligence and Computer Vision for Cultural Heritage

Author(s)
ReInHerit Project

Publication date
November 08, 2022

Terms of reuse
MIT - CC BY 4.0

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ReInHerit Webinar: "Artificial Intelligence and Computer Vision for Cultural Heritage"

  • 18 November 2022 from 3:00-4:00 pm CET
  • Facilitated by Marco Bertini and Paolo Mazzanti
  • Free Registration is open until 16 November 2022 (3 pm) at this link https://forms.gle/yccuw5rGVLJLCr6u9
  • The online webinar is limited to 50 participants on a first come, first serve basis. The webinar will be recorded and the recording video will be available in the resources section.

ReinHerit Webinars are aimed at cultural heritage professionals. They will consist of a how to guide for small and medium-sized museum and cultural heritage organizations that documents processes, provides instruction, technical requirements and best practices for co-creation and collaboration between museums and cultural heritage institutions.

The Webinars are organised in the context of the  Horizon2020 ReInHerit project, that aspires to disrupt the current status quo of communication, collaboration and innovation exchange between museums and cultural heritage sites, in a sense that it will connect cultural heritage collections and sites, and present Europe’s tangible and intangible heritage to citizens and tourists in their wider historical and geographical contexts. The ReInHerit project is proposing an innovative model of sustainable heritage management, through which a dynamic network will be born; this network comprises cultural heritage professionals, innovation and cultural heritage solution tech experts, researchers, national museums, regional and local museums, and representative managers of Heritage Label sites. 

About this webinar:

Facilitated by Marco Bertini and Paolo Mazzanti from MICC - Media Integration and Communication Center, University of Study Florence - Italy, the webinar will present examples of CV and AI-based tools applied in museum and cultural heritage contexts.  The tasks of Computer Vision in the Cultural Heritage sector, the basic elements of the technology, and a high-level analysis of example applications will be introduced. Key results obtained by MICC on CV vision and AI for museums and cultural contexts will be presented, including the main findings and recommendations of the analysis conducted under the ReInherit project. With a focus on Digital Toolkit (WP3) features and innovations: introduction to related emerging technology skills with examples of innovative collection management tools and applications based on playful engagement and user interactions with artworks.

 Speakers:

Marco Bertini
Marco Bertini is Associate Professor in Computer Science at the University of Florence, Italy. He is working at the Media Integration and Communication Center, where he serves as Director of the center. His research interests are focused on digital libraries, multimedia databases and social media analysis. On these subjects he has addressed semantic analysis, content indexing and annotation, semantic retrieval and semantic video transcoding.  He is author of 27 journal papers and more than 120 peer- reviewed conference papers.  He has been general co-chair, program co-chair and area chair of several international conferences and workshops (ACM MM, ICMR, CBMI, etc.), and was associate editor of IEEE Transactions on Multimedia. 

Paolo Mazzanti
Paolo Mazzanti is a researcher at MICC and he is project and training activities manager at the Competence Center NEMECH - New Media for Cultural Heritage. Interdisciplinary university education: he graduated in theoretic philosophy, post-graduated in multimedia content design and in planning and communication of cultural heritage. His research interests focus on emotions and informal learning in museums, user-experience and interaction design, new media and digital tools for user engagement, information technology and creative practices. He is Scientific Co-ordinator of "MuseiEmotivi" (Emotional Museums) Training Workshop at NEMECH.

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 101004545.

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