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003			ES-MaUEC
005			20230102121520.0
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007			cr nn 008mamaa
008			210325s2021 sz | s |||| 0|eng d
020			_a9783030667771
024	7		_a10.1007/978-3-030-66777-1 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aCC135 _b2021 EB
245	1	0	_aData Analytics for Cultural Heritage : _bCurrent Trends and Concepts _cedited by Abdelhak Belhi, Abdelaziz Bouras, Abdulaziz Khalid Al-Ali, Abdul Hamid Sadka.
250			_aFirst edition 2021
264		1	_aCham _bSpringer International Pulishing _c2021
300			_a1 recurso en línea (XV, 280 páginas) _b190 ilustraciones, 122 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_aarchivo de texto _bPDF
490	0		_aIntelligent Technologies and Robotics (SpringerNature-42732)
490	0		_aIntelligent Technologies and Robotics (R0) (SpringerNature-43728)
505	0		_aCultural data categorization -- Cultural heritage data sets -- Historical manuscript analysis -- Cultural repository analytics -- Cultural image in painting and completion -- Cultural image super resolution and visual curation -- Cultural object marching and link retrieval -- Natural language processing in the cultural and historical contexts -- Cultural ontology learning -- Data analytics applications for attractiveness and targeted advertising in cultural heritage.
520	3		_aThis book considers the challenges related to the effective implementation of artificial intelligence (AI) and machine learning (ML) technologies to the cultural heritage digitization process. Particular focus is placed on improvements to the data acquisition stage, as well as the data enrichment and curation stages, using advanced artificial intelligence techniques and tools. An emphasis is placed on recent applications related to deep learning for visual recognition, generative models, natural language processing, and super resolution. The book is a valuable reference for researchers working in the multidisciplinary field of cultural heritage and AI, as well as professional experts in the art and culture domains, such as museums, libraries, and historic sites and buildings. Reports on techniques and methods that leverage AI and machine learning and their impact on the digitization of cultural heritage; Addresses challenges of improving data acquisition, enrichment and management processes; Highlights contributions from international researchers from diverse fields and subject areas.
988			_aSpringer_Robotics_2021
650		7	_2embne _9138532 _aAntigüedades
700			_aBelhi, Abdelhak _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _9681533
700			_aAl-Ali, Abdulaziz Khalid _eeditor literario _0(orcid)0000-0001-5765-1259 _1https://orcid.org/0000-0001-5765-1259 _4edt _4http://id.loc.gov/vocabulary/relators/edt _9681534
700			_aAl-Ali, Abdulaziz Khalid _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _9681534
700			_aSadka, Abdul Hamid _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _9681535
776	0	8	_iPrinted edition: _z9783030667764
776	0	8	_iPrinted edition: _z9783030667788
776	0	8	_iPrinted edition: _z9783030667795
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-66777-1 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE