Digital Preservation For Heritages

"Digital Preservation for Heritages: Technologies and Applications" provides a comprehensive and up-to-date coverage of digital technologies in the area of cultural heritage preservation, including digitalization, research aiding, conservation aiding, digital exhibition, and digital utilization. Processes, technical frameworks, key technologies, as well as typical systems and applications are discussed in the book. It is intended for researchers and students in the fields of computer science and technology, museology, and archaeology. Dr. Dongming Lu is a professor at College of Computer Science and Technology, Zhejiang University, China. His research area includes digital preservation for cultural heritages and digital media networks. Prof. Yunhe Pan is a member of Chinese Academy of Engineering, and also a professor at College of Computer Science and Technology, Zhejiang University, China. His research area includes digital preservation for cultural heritages, digital library, and intelligent human animation.

"Digital Preservation for Heritages: Technologies and Applications" provides a comprehensive and up-to-date coverage of digital technologies in the area of cultural heritage preservation, including digitalization, research aiding, conservation aiding, digital exhibition, and digital utilization. Processes, technical frameworks, key technologies, as well as typical systems and applications are discussed in the book. It is intended for researchers and students in the fields of computer science and technology, museology, and archaeology. Dr. Dongming Lu is a professor at College of Computer Science and Technology, Zhejiang University, China. His research area includes digital preservation for cultural heritages and digital media networks. Prof. Yunhe Pan is a member of Chinese Academy of Engineering, and also a professor at College of Computer Science and Technology, Zhejiang University, China. His research area includes digital preservation for cultural heritages, digital library, and intelligent human animation.

"Digital Preservation Technology for Cultural Heritage" discusses the technology and processes in digital preservation of cultural heritage. It covers topics in five major areas: Digitization of cultural heritage; Digital management in the cultural heritage preservation; Restoration techniques for rigid solid relics; Restoration techniques for paintings; Digital museum. It also includes application examples for digital preservation of cultural heritage. The book is intended for researchers, advanced undergraduate and graduate students in Computer Graphics and Image Processing as well as Cultural heritage preservation. Mingquan Zhou is a professor at the College of Information Science and Technology, Beijing Normal University, China. Guohua Geng is a professor at the College of Information Science and Technology, Northwest University, Xi'an, China. Zhongke Wu is a professor at the College of Information Science and Technology, Beijing Normal University, China.

This book constitutes the refereed post-conference proceedings of the 8th International Conference on Digital Heritage, EuroMed 2020, held virtually in November 2020. The 37 revised project papers and 30 revised short papers presented were carefully reviewed and selected from 326 submissions. The papers are on topics such as digital data acquisition technologies in CH/2D and 3D data capture methodologies and data processing; remote sensing for archaeology and cultural heritage management and monitoring; interactive environments and applications; reproduction techniques and rapid prototyping in CH; e-Libraries and e-Archives in cultural heritage; virtual museum applications (e-Museums and e-Exhibitions); visualisation techniques (desktop, virtual and augmented reality); storytelling and authoring tools; tools for education; 2D and 3D GIS in cultural heritage; and on-site and remotely sensed data collection.

This book describes various new computer based approaches which can be exploited for the (digital) reconstruction, recognition, restoration, presentation and classification of digital heritage. They are based on applications of virtual reality, augmented reality and artificial intelligence, to be used for storing and retrieving of historical artifacts, digital reconstruction, or virtual viewing. The book is divided into three sections: “Classification of Heritage Data” presents chapters covering various domains and aspects including text categorization, image retrieval and classification, and object spotting in historical documents. Next, in “Detection and Recognition of Digital Heritage Artifacts”, techniques like neural networks or deep learning are used for the restoration of degraded heritage documents, Tamil Palm Leaf Characters recognition, the reconstruction of heritage images, and the selection of suitable images for 3D reconstruction and classification of Indian land mark heritage images. Lastly, “Applications of Modern Tools in Digital Heritage” highlights some example applications for dance transcription, architectural geometry of early temples by digital reconstruction, and computer vision based techniques for collecting and integrating knowledge on flora. This book is mainly written for researchers and graduate students in digital preservation and heritage, or computer scientists looking for applications of virtual reality, computer vision, and artificial intelligence techniques.

This edition presents the most prominent topics and applications of digital image processing, analysis, and computer graphics in the field of cultural heritage preservation. The text assumes prior knowledge of digital image processing and computer graphics fundamentals. Each chapter contains a table of contents, illustrations, and figures that elucidate the presented concepts in detail, as well as a chapter summary and a bibliography for further reading. Well-known experts cover a wide range of topics and related applications, including spectral imaging, automated restoration, computational reconstruction, digital reproduction, and 3D models.