Digital Techniques for Heritage Presentation and Preservation / edited by Jayanta Mukhopadhyay, Indu Sreedevi, Bhabatosh Chanda, Santanu Chaudhury, Vinay P. Namboodiri.

Format:

Book

Contributor:

Mukhopādhyāẏa, Jaẏanta, Editor.

Sreedevi, Indu, Editor.

Chanda, B. (Bhabatosh), Editor.

Chaudhury, Santanu, Editor.

Namboodiri, Vinay P., Editor.

SpringerLink (Online service)

Series:

Computer Science (SpringerNature-11645)

Language:

English

Subjects (All):

Digital humanities.

Cultural property.

Multimedia systems.

Digital Humanities.

Cultural Heritage.

Multimedia Information Systems.

Local Subjects:

Digital Humanities.

Cultural Heritage.

Multimedia Information Systems.

Physical Description:

1 online resource (XIV, 272 pages) : 141 illustrations, 76 illustrations in color.

Edition:

1st ed. 2021.

Contained In:

Springer Nature eBook

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2021.

System Details:

text file PDF

Summary:

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various domains and aspects including text categorization, image retrieval and classification, and object spotting in historical documents.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.

Contents:

Part I: Classification and Retrieval of Heritage Data

Introduction to Heritages and HeritageManagement: A Preview

Language-Based Text Categorization: A Survey

Classification of Yoga Asanas from a Single Image by Learning the 3D View of Human Poses

IHIRD: A Data Set for Indian Heritage Image Retrieval

Object Spotting in Historical Documents

Part II: Restoration and Reconstruction of Digital Heritage Artifacts

Text Extraction and Restoration of Old Handwritten Documents

Categorization and Selection of Crowdsourced Images Towards 3D Reconstruction of Heritage Sites

Deep Learning-Based Filtering of Images for 3D Reconstruction of Heritage Sites

Improving Landmark Recognition Using Saliency Detection and Feature Classification

Part III: Applications ofModern Tools in Digital Heritage

Bharatanatyam Dance Transcription Using Multimedia Ontology and Machine Learning

Evolution and Interconnection: Geometry in Early Temple Architecture

Computer Vision for Capturing Flora.

Other Format:

Printed edition:

ISBN:

978-3-030-57907-4

9783030579074

Access Restriction:

Restricted for use by site license.