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This book considers the challenges related to the effective implementation of artificial intelligence (AI) and machine learning (ML) technologies to the cultural heritage digitization process. Particular focus is placed on improvements to the data acquisition stage, as well as the data enrichment and curation stages, using advanced artificial intelligence techniques and tools. An emphasis is placed on recent applications related to deep learning for visual recognition, generative models, natural language processing, and super resolution. The book is a valuable reference for researchers working in the multidisciplinary field of cultural heritage and AI, as well as professional experts in the art and culture domains, such as museums, libraries, and historic sites and buildings.

Reports on techniques and methods that leverage AI and machine learning and their impact on the digitization of cultural heritage;
Addresses challenges of improving data acquisition, enrichment and management processes;
Highlights contributions from international researchers from diverse fields and subject areas.

Availability

Inventory Code	Barcode	Call Number	Location	Status
1908000402	EB0000876	930.102 85 Dat	Central Library (OPAC)	Available

Detail Information

Series Title: -
Call Number: 930.102 85 Dat
Publisher: Switzerland : Springer Cham., 2021
Collation: XV, 280p.:Ill
Language: English
ISBN/ISSN: 978-3-030-66777-1
Classification: 930.102 85
Content Type: Ebook
Media Type: -
Carrier Type: online resource
Edition: -
Subject(s): Cultural property--Data processing
Specific Detail Info: -
Statement of Responsibility: BRF

Other version/related

No other version available

File Attachment

Data Analytics for Cultural Heritage

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