Data Analytics for Cultural Heritage
Current Trends and Concepts
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Beschreibung
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.
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.
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.
Autor*in
Abdelhak Belhi
Themen in »Data Analytics for Cultural Heritage«
Visual recognition Generative models Natural language processing Super resolution Cultural data categorization Cultural heritage datasets Historical manuscript analysis Cultural repository analytics Cultural ontologies Artificial intelligence (AI) Machine learning (ML) Imaging data analysis Tangible heritage Intangible heritage Content based image retrieval