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Digital Techniques for Heritage Presentation and Preservation

Language EnglishEnglish
E-book Adobe ePub DRM
E-book Digital Techniques for Heritage Presentation and Preservation Jayanta Mukhopadhyay
Libristo code: 41008533
Publishers Springer, March 2021
This book describes various new computer based approaches which can be exploited for the (digital) r... Full description
? points 489 b
73 430 Ft
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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: "e;Classification of Heritage Data"e; presents chapters covering various domains and aspects including text categorization, image retrieval and classification, and object spotting in historical documents. Next, in "e;Detection and Recognition of Digital Heritage Artifacts"e;, 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, "e;Applications of Modern Tools in Digital Heritage"e; 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.

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About the book

Full name Digital Techniques for Heritage Presentation and Preservation
Language English
Binding E-book - Adobe ePub DRM
Date of issue 2021
EAN 9783030579074
Libristo code 41008533
Publishers Springer
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