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008			230411s2018 sz | s |||| 0|eng d
020			_a9783031023149
024	7		_a10.1007/978-3-031-02314-9 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aTA1637 _b2018 EB
100	1		_aØrnager, Susanne _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9688042
245	1	0	_aImages in Social Media : _bCategorization and Organization of Images and Their Collections _cby Susanne Ørnager, Haakon Lund
250			_a1st edition 2018
264		1	_aCham _bSpringer International Publishing _c2018
300			_a1 recurso en línea (XVIII, 101 páginas)
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_aSynthesis Lectures on Information Concepts Retrieval and Services _x1947-9468
505	0		_aPreface -- Acknowledgments -- Abbreviations -- Introduction and Iconic Language for Images -- Literature Review: State of the Art -- Natural Scene Perception and Eye Tracking -- Trends in Handling Future Image Collections -- Bibliography -- Author Biographies.
520			_aThis book focuses on the methodologies, organization, and communication of digital image collection research that utilizes social media content. ("Image" is here understood as a cultural, conventional, and commercial-stock photo-representation.) The lecture offers expert views that provide different interpretations of images and their potential implementations. Linguistic and semiotic methodologies as well as eye-tracking research are employed to both analyze images and comprehend how humans consider them, including which salient features generally attract viewers' attention. This literature review covers image-specifically photographic-research since 2005, when major social media platforms emerged. A citation analysis includes an overview of co-citation maps that demonstrate the nexus of image research literature and the journals in which they appear. Eye tracking tests whether scholarly templates focus on the proper features of an image, such as people, objects, time, etc., and if a prescribed theme affects the eye movements of the observer. The results may point to renewed requirements for building image search engines. As it stands, image management already requires new algorithms and a new understanding that involves text recognition and very large database processing. The aim of this book is to present different image research areas and demonstrate the challenges image research faces. The book's scope is, by necessity, far from comprehensive, since the field of digital image research does not cover fake news, image manipulation, mobile photos, etc.; these issues are very complex and need a publication of their own. This book should primarily be useful for students in library and information science, psychology, and computer science.
988			_aSynthesis Collection of Technology_2018
650		7	_2embne _9413188 _aProceso digital de imágenes
700	1		_aLund, Haakon _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9688043
776	0	8	_iPrinted edition: _z9783031002212
776	0	8	_iPrinted edition: _z9783031011863
776	0	8	_iPrinted edition: _z9783031034428
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-02314-9 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b04/2023 _dz _eIG _zSI