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020 _a9783031023149
_9978-3-031-02314-9
024 7 _a10.1007/978-3-031-02314-9
_2doi
050 4 _aTK5105.5-5105.9
072 7 _aUKN
_2bicssc
072 7 _aCOM043000
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082 0 4 _a004.6
_223
100 1 _aØrnager, Susanne.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_981013
245 1 0 _aImages in Social Media
_h[electronic resource] :
_bCategorization and Organization of Images and Their Collections /
_cby Susanne Ørnager, Haakon Lund.
250 _a1st ed. 2018.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2018.
300 _aXVIII, 101 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _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.
650 0 _aComputer networks .
_931572
650 1 4 _aComputer Communication Networks.
_981014
700 1 _aLund, Haakon.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_981015
710 2 _aSpringerLink (Online service)
_981016
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031002212
776 0 8 _iPrinted edition:
_z9783031011863
776 0 8 _iPrinted edition:
_z9783031034428
830 0 _aSynthesis Lectures on Information Concepts, Retrieval, and Services,
_x1947-9468
_981017
856 4 0 _uhttps://doi.org/10.1007/978-3-031-02314-9
912 _aZDB-2-SXSC
942 _cEBK
999 _c85087
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