000 06006nam a22008291i 4500
001 8290768
003 IEEE
005 20200413152929.0
006 m eo d
007 cr cn |||m|||a
008 180224s2018 caua foab 000 0 eng d
020 _a9781681730806
_qebook
020 _z9781681730790
_qpaperback
020 _z9781681732770
_qhardcover
024 7 _a10.2200/S00821ED1V01Y201712ICR062
_2doi
035 _a(CaBNVSL)swl00408189
035 _a(OCoLC)1022193420
040 _aCaBNVSL
_beng
_erda
_cCaBNVSL
_dCaBNVSL
050 4 _aN59
_b.O753 2018
082 0 4 _a025.067
_223
100 1 _aØrnager, Susanne,
_eauthor.
245 1 0 _aImages in social media :
_bcategorization and organization of images and their collections /
_cSusanne Ørnager and Haakon Lund.
264 1 _a[San Rafael, California] :
_bMorgan & Claypool,
_c2018.
300 _a1 PDF (xviii, 101 pages) :
_billustrations.
336 _atext
_2rdacontent
337 _aelectronic
_2isbdmedia
338 _aonline resource
_2rdacarrier
490 1 _aSynthesis lectures on information concepts, retrieval, and services,
_x1947-9468 ;
_v# 62
538 _aMode of access: World Wide Web.
500 _aPart of: Synthesis digital library of engineering and computer science.
504 _aIncludes bibliographical references (pages 85-100).
505 0 _a1. Introduction and iconic language for images -- 1.1 Iconic language for images -- 1.2 The meaning of an image -- 1.3 The Shatford/Panofsky matrix --
505 8 _a2. Literature review: state of the art -- 2.1 Prisma methodology -- 2.2 Bibliometric networks between the analyzed documents -- 2.3 Analyzing the research papers with grounded theory -- 2.4 Category domains -- 2.4.1 Historic photos -- 2.4.2 Journalistic photographs -- 2.4.3 Photos used in various professions -- 2.5 Category indexing -- 2.5.1 Collection description -- 2.5.2 Metadata -- 2.5.3 Sub-category guidelines -- 2.5.4 Sub-category emotions -- 2.6 Category retrieval -- 2.6.1 Sub-category framework -- 2.6.2 CBIR -- 2.6.3 Sub-category queries -- 2.6.4 Sub-category (query) taxonomy -- 2.6.5 User needs -- 2.7 Summary --
505 8 _a3. Natural scene perception and eye tracking -- 3.1 The technology behind recording eye movements -- 3.2 Eye movement research -- 3.2.1 Research in visual search -- 3.2.2 Research in reading -- 3.2.3 Application of eye tracking in usability studies -- 3.2.4 Natural scene perception -- 3.2.5 Measurements in eye movements -- 3.2.6 Recent developments -- 3.3 Experiment -- 3.3.1 Methodology -- 3.3.2 Analysis of assigned tags --
505 8 _a4. Trends in handling future image collections -- Bibliography -- Authors' biographies.
506 _aAbstract freely available; full-text restricted to subscribers or individual document purchasers.
510 0 _aCompendex
510 0 _aINSPEC
510 0 _aGoogle scholar
510 0 _aGoogle book search
520 3 _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.
530 _aAlso available in print.
588 _aTitle from PDF title page (viewed on February 24, 2018).
650 0 _aPictures
_xComputer network resources.
650 0 _aDigital images
_xComputer network resources.
650 0 _aInternet research.
650 0 _aEye tracking.
653 _aimages
653 _asocial media
653 _aimage tags
653 _aacademic image domains
653 _aimage facets
653 _aimage indexing
653 _aimage guidelines
653 _aimage retrieval
653 _aimage literature review
653 _aPRISMA
653 _aGrounded Theory
653 _aeye-tracking
653 _asalient image features
653 _atest image templates
653 _aimage citation analysis
653 _aimage management
653 _atext recognition
653 _aimage literacy
655 0 _aElectronic books.
700 1 _aLund, Haakon,
_eauthor.
776 0 8 _iPrint version:
_z9781681730790
_z9781681732770
830 0 _aSynthesis digital library of engineering and computer science.
830 0 _aSynthesis lectures on information concepts, retrieval, and services ;
_v# 62.
_x1947-9468
856 4 2 _3Abstract with links to resource
_uhttp://ieeexplore.ieee.org/servlet/opac?bknumber=8290768
999 _c562367
_d562367