04968nam a22005415i 4500 978-3-030-57907-4 DE-He213 20210623113725.0 cr nn 008mamaa 210317s2021 gw | s |||| 0|eng d 9783030579074 978-3-030-57907-4 10.1007/978-3-030-57907-4 doi NX260 H bicssc COM018000 bisacsh UXA thema 004 23 Digital Techniques for Heritage Presentation and Preservation [electronic resource] / edited by Jayanta Mukhopadhyay, Indu Sreedevi, Bhabatosh Chanda, Santanu Chaudhury, Vinay P. Namboodiri. 1st ed. 2021. Cham : Springer International Publishing : Imprint: Springer, 2021. XIV, 272 p. 141 illus., 76 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda 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by Learning the 3D View of Human Poses -- IHIRD: A Data Set for Indian Heritage Image Retrieval -- Object Spotting in Historical Documents -- Part II: Restoration and Reconstruction of Digital Heritage Artifacts -- Text Extraction and Restoration of Old Handwritten Documents -- Categorization and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. 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various domains and aspects including text categorization, image retrieval and classification, and object spotting in historical documents.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. Application software. Cultural heritage. Multimedia information systems. Computer Appl. in Arts and Humanities. https://scigraph.springernature.com/ontologies/product-market-codes/I23036 Cultural Heritage. https://scigraph.springernature.com/ontologies/product-market-codes/419000 Multimedia Information Systems. https://scigraph.springernature.com/ontologies/product-market-codes/I18059 Mukhopadhyay, Jayanta. editor. edt http://id.loc.gov/vocabulary/relators/edt Sreedevi, Indu. editor. edt http://id.loc.gov/vocabulary/relators/edt Chanda, Bhabatosh. editor. edt http://id.loc.gov/vocabulary/relators/edt Chaudhury, Santanu. editor. edt http://id.loc.gov/vocabulary/relators/edt Namboodiri, Vinay P. editor. edt http://id.loc.gov/vocabulary/relators/edt SpringerLink (Online service) Springer Nature eBook Printed edition: 9783030579067 Printed edition: 9783030579081 Printed edition: 9783030579098 https://doi.org/10.1007/978-3-030-57907-4 ZDB-2-SCS ZDB-2-SXCS Computer Science (SpringerNature-11645) Computer Science (R0) (SpringerNature-43710)