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020 _a9789812874689
024 7 _a10.1007/978-981-287-468-9
_2doi
040 _bspa
_dES-MaUEC
050 4 _aQ325.5
_bX856 2015 EB
100 1 _aXu, Long.
_eautor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_0http://id.loc.gov/authorities/names/nr88012057
_1http://viaf.org/viaf/25402840/
245 1 0 _aVisual Quality Assessment by Machine Learning
_cby Long Xu, Weisi Lin, C.-C. Jay Kuo.
264 1 _aSingapore
_bSpringer International Publishing
_c2015
300 _a1 recurso en línea (XIV, 132 páginas 19 ilustraciones, 16 ilustraciones a color.)
336 _2rdacontent
_aTexto (visual)
_btxt
337 _2rdamedia
_aelectrónico
_bc
338 _2rdacarrier
_arecurso electrónico
_bcr
490 0 _aSpringerBriefs in Signal Processing,
_x2196-4076
490 0 _aEngineering (Springer-11647)
505 0 _aIntroduction -- Fundamental knowledges of machine learning -- Image features and feature processing -- Feature pooling by learning -- Metrics fusion -- Summary and remarks for future research.
520 3 _aThe book encompasses the state-of-the-art visual quality assessment (VQA) and learning based visual quality assessment (LB-VQA) by providing a comprehensive overview of the existing relevant methods. It delivers the readers the basic knowledge, systematic overview and new development of VQA. It also encompasses the preliminary knowledge of Machine Learning (ML) to VQA tasks and newly developed ML techniques for the purpose. Hence, firstly, it is particularly helpful to the beginner-readers (including research students) to enter into VQA field in general and LB-VQA one in particular. Secondly, new development in VQA and LB-VQA particularly are detailed in this book, which will give peer researchers and engineers new insights in VQA.
988 _aEBSPRINGER_2018
650 7 _aAprendizaje automático
_2embne
_9166090
700 1 _aLin, Weisi.
_eautor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_0http://id.loc.gov/authorities/names/no2011192230
_1http://viaf.org/viaf/24599625/
700 1 _aKuo, C.-C. Jay.
_eautor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_1http://viaf.org/viaf/8998466/
_9100843
776 0 8 _iEdición impresa:
_z9789812874696
776 0 8 _iEdición impresa:
_z9789812874672
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-287-468-9
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
998 _b03/2019
_dz
_eIG
_zSI