Digital Techniques for Heritage Presentation and Preservation

This book explores new computer-based approaches for digital reconstruction, recognition, restoration, presentation, and classification of digital heritage, using virtual reality, augmented reality, and artificial intelligence. It is divided into three sections and highlights example applications in dance transcription, architectural geometry, and computer vision. It is primarily aimed at researchers and graduate students in digital preservation and heritage.

Format: Paperback / softback
Length: 272 pages
Publication date: 19 March 2022
Publisher: Springer Nature Switzerland AG

This comprehensive book delves into a multitude of innovative computer-based approaches designed to enhance the preservation, recognition, restoration, presentation, and classification of digital heritage. These cutting-edge techniques harness the power of virtual reality, augmented reality, and artificial intelligence to facilitate the storage and retrieval of historical artifacts, digital reconstruction, and virtual viewing experiences.

The book is organized into three distinct sections:

Classification of Heritage Data: This section encompasses chapters that explore diverse domains and aspects related to heritage data classification. It includes topics such as text categorization, image retrieval and classification, and object spotting in historical documents. The chapters provide valuable insights into the effective management and analysis of large-scale heritage collections.

Detection and Recognition of Digital Heritage Artifacts: In this section, advanced techniques like neural networks and deep learning are employed to restore degraded heritage documents, recognize Tamil Palm Leaf Characters, reconstruct heritage images, and select suitable images for 3D reconstruction and classification of Indian land mark heritage images. The book showcases the potential of these technologies in preserving and restoring invaluable cultural heritage assets.

Applications of Modern Tools in Digital Heritage: This section highlights a range of example applications for digital preservation and heritage. It explores the use of dance transcription, architectural geometry of early temples through digital reconstruction, and computer vision-based techniques for collecting and integrating knowledge on flora. The examples demonstrate the practical applications of these technologies in various fields.

This book is primarily intended for researchers and graduate students in digital preservation and heritage, as well as computer scientists seeking to apply virtual reality, computer vision, and artificial intelligence techniques to their work. It serves as a valuable resource for those interested in advancing the field of digital preservation and heritage management.

Weight: 444g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030579098
Edition number: 1st ed. 2021