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Heritage Preservation

Overview of attention for book
Cover of 'Heritage Preservation'

Table of Contents

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    Book Overview
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    Chapter 1 Contemporary Digital Technologies at the Service of Cultural Heritage
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    Chapter 2 Visual Realism in Digital Heritage
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    Chapter 3 EpiX: A 3D Measurement Tool for Heritage, Archeology, and Aerial Photogrammetry
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    Chapter 4 Digital Heritage Reconstruction Using Deep Learning-Based Super-Resolution
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    Chapter 5 Restoration of Digital Images of Old Degraded Cave Paintings via Patch Size Adaptive Source-Constrained Inpainting
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    Chapter 6 3Dā€“2D Data Fusion in Cultural Heritage Applications
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    Chapter 7 Haptic Rendering of Oriented Point Cloud of Heritage Objects Using Proxy Projection
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    Chapter 8 Ontology-Driven Content-Based Retrieval of Heritage Images
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    Chapter 9 On the Deep Structure of Ragas and Analytic Rating of Music Scores
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    Chapter 10 Restoration of Archival Videos for Preserving Digital Heritage of India
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    Chapter 11 Nrityamanthan : Unravelling the Intent of the Dancer Using Deep Learning
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    Chapter 12 Characterization, Detection, and Synchronization of Audio-Video Events in Bharatanatyam Adavu s
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    Chapter 13 An Image Dataset of Bishnupur Terracotta Temples for Digital Heritage Research
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    Chapter 14 A Dataset of Single-Hand Gestures of Sattriya Dance
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    Chapter 15 Analysis of Murals, Stucco Work, Relief Work and Textual Narratives for Understanding Clothing Styles of Vijayanagara Period
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    Chapter 16 Visually Reconstructed Krishna Temple, Hampi, Karnataka
Overall attention for this book and its chapters
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27 Mendeley
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Title
Heritage Preservation
Published by
Springer Singapore, June 2018
DOI 10.1007/978-981-10-7221-5
ISBNs
978-9-81-107220-8, 978-9-81-107221-5
Editors

Chanda, Bhabatosh, Chaudhuri, Subhasis, Chaudhury, Santanu

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 27 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 26%
Student > Doctoral Student 3 11%
Student > Master 3 11%
Other 2 7%
Researcher 2 7%
Other 4 15%
Unknown 6 22%
Readers by discipline Count As %
Design 5 19%
Arts and Humanities 4 15%
Engineering 3 11%
Computer Science 3 11%
Environmental Science 1 4%
Other 2 7%
Unknown 9 33%