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008			210317s2021 gw a o |||| 0|eng d
020			_a9783030579074
024	7		_a10.1007/978-3-030-57907-4 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aNX260 _b2021 EB
245	0	0	_aDigital techniques for heritage presentation and preservation _cedited by Jayanta Mukhopadhyay, Indu Sreedevi, Bhabatosh Chanda, Santanu Chaudhury, Vinay P Namboodiri
250			_aFirst edition 2021
264		1	_aCham, Switzerland _bSpringer International Publising _c2021
300			_a1 recurso en línea (XIV, 272 páginas) _b141 ilustraciones, 76 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_atext file _bPDF _2rda
505	0		_aPart 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by Learning the 3D View of Human Poses -- IHIRD: A Data Set for Indian Heritage Image Retrieval -- Object Spotting in Historical Documents -- Part II: Restoration and Reconstruction of Digital Heritage Artifacts -- Text Extraction and Restoration of Old Handwritten Documents -- Categorization and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.
520	3		_aThis 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various domains and aspects including text categorization, image retrieval and classification, and object spotting in historical documents.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.
988			_aSpringer_Computer_2021
650		7	_2embne _aArte y tecnología _9144821
650		7	_2embne _9230088 _aPatrimonio cultural _xProtección
700	1		_aMukhopadhyay, Jayanta _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aSreedevi, Indu _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aChanda, Bhabatosh _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aChaudhury, Santanu _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aNamboodiri, Vinay P _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
710	2		_aSpringerLink
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-57907-4 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b05/2021 _dz _eb _zSI