The volume focuses on research-oriented work, which can help opening up new vistas of research for the research community, and explore new mechanisms of retrieval of information from multimedia documents, particularly from heritage documents, apart from using the conventional methods.

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various domains and aspects including text categorization, image retrieval and classification, and object spotting in historical documents.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 unique text/reference advocates a novel forgetful approach to dealing with personal multimedia content in the long run, which is inspired by the effectiveness of human forgetting as a mechanism for helping us to stay focused on important things. The text presents theoretical foundations, technologies, applications, and case study results that help the reader to understand the problems and challenges associated with personal digital preservation, and the solutions that can be developed in response to these challenges. Topics and features: Highlights the value of an intelligent and selective approach to personal multimedia preservation, involving managed forgetting and contextualized remembering; considers how a conceptual understanding of human memory function can be used to inspire the design of digital managed preservation and forgetting; discusses methods that endow computers with capabilities to understand digital content, in order to support intelligent preservation decisions; examines the assessment of the importance of information items, introducing the concepts of memory buoyancy and preservation value; reviews methods for preserving the context associated with a digital item, and for assessing how this context evolves over time; proposes a reference model for the Preserve-or-Forget (PoF) approach which is integrative, value-driven, brain-inspired, forgetful, and evolution-aware; describes the integration of preservation functionalities in a Personal Information Management (PIM) application; presents a user study on a photo selection task, using the results to design methods for automatically selecting important photos from personal collections. This interdisciplinary volume provides significant insights from computer science, engineering and psychology that will be of great interest to researchers involved in multimedia and software engineering, multimedia preservation, cultural informatics, digital heritage, and the digital humanities.

"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.

Everything you ever wanted to know about multimedia retrieval and management. This comprehensive book offers a full picture of the cutting-edge technologies necessary for a profound introduction to the field. Leading experts also cover a broad range of practical applications.

Details how to get the most out of the latest digital technology for preserving, displaying & extracting information from historical buildings & artefacts.