Decoding Cultural Heritage: A Critical Dissection and Taxonomy of Human Creativity through Digital Tools - Hardcover

Über die Autorin bzw. den Autor

Fernando Moral-Andrés is the director of the School of Architecture at Universidad Nebrija, Madrid. He holds M.Arch and Ph.D. in Architecture from Universitat Politècnica de Catalunya – BarcelonaTech and a degree in Architecture from Universidad de Valladolid. He has been Visiting Professor of Sapienza - Università di Roma. His research interests include public city, art and the intersection of architecture and technology focusing on the use of digital technologies in different aspects of this discipline such as  territorial resilience, design and cultural heritage.

Elena Merino-Gómez is an assistant professor in the School of Industrial Engineering at Universidad de Valladolid. She holds an undergraduate degree and a Ph.D. in architecture from Universidad de Valladolid and a Master in applied linguistics from Universidad Antonio de Nebrija. Her research interests include the history of architecture, ancient Western culture, and linguistics and the useof generative artificial intelligence in those areas.

Pedro Reviriego received the M.Sc. and Ph.D. degrees in Telecommunications engineering from Universidad Politécnica de Madrid, Madrid. He has worked in the industry developing routers and communications ASICs, mostly Ethernet transceivers and in several Universities. He is currently an associate professor at Universidad Politécnica de Madrid working on several topics in computer science with a focus on artificial intelligence. In particular, dependability and performance optimization of artificial intelligence algorithms and the use of generative artificial intelligence for cultural heritage and architecture.

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This book provides readers with an overview of the use of digital techniques for cultural heritage preservation. Those include image processing, advanced sensing, geomatics or virtual and augmented reality. The use of newer tools such as generative artificial intelligence for images and 3D or advanced natural language processing systems is also considered. The ultimate goal is to provide readers with a global perspective of the state of the art on the use of digital tools for cultural heritage applications, both for researchers and professionals involved in cultural heritage and for computer scientists and engineers that design and develop technologies that can be used for cultural heritage preservation.

• Covers emerging digital techniques and applications, including generative AI and NLP applied to cultural heritage;
• Includes case studies that show the use of digital techniques in real applications;
• Provides comprehensive coverage of the latest digital techniques for cultural heritage problems.