Digital techniques for heritage presentation and preservation

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.

3.1 Training Data Generation.

3.4.2 Selection of Essential Keypoints (for Word Spotting) -- 3.4.3 Spotting Zones -- 3.4.4 Ranking of Spotted Zone -- 4 Experimental Results -- 4.1 Datasets and Ground Truth for Word Spotting -- 4.2 Datasets and Ground Truth for Figure Spotting -- 4.3 Determining the Value of -- 4.4 Selecting the Value of k -- 4.5 Results and Analysis -- 5 Conclusion -- References -- Part II Restoration and Reconstruction of Digital Heritage Artifacts -- Text Extraction and Restoration of Old Handwritten Documents -- 1 Introduction -- 1.1 Dataset -- 2 Literature Review -- 3 Proposed Method

Intro -- Preface -- Acknowledgments -- Organization -- Contents -- Part I Classification and Retrieval of Heritage Data -- Introduction to Heritages and Heritage Management: A Preview -- 1 Introduction -- 2 Classification of Heritages -- 3 Mapping of World Heritages -- 4 Digital Heritage -- 5 Public, Classified, and Personal Digital Heritage -- 6 Science and Digital Heritages -- 7 Computer-Based Processing of Digital Heritage -- 8 Threats to Digital Heritage -- 9 Motivation for Digital Heritage -- References -- Language-Based Text Categorization: A Survey -- 1 Introduction

1.1 Monolingual Text Categorization …