Images in Social Media (Record no. 85087)

000 -LEADER
fixed length control field 03922nam a22004815i 4500
001 - CONTROL NUMBER
control field 978-3-031-02314-9
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240730163900.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 220601s2018 sz | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783031023149
-- 978-3-031-02314-9
082 04 - CLASSIFICATION NUMBER
Call Number 004.6
100 1# - AUTHOR NAME
Author Ørnager, Susanne.
245 10 - TITLE STATEMENT
Title Images in Social Media
Sub Title Categorization and Organization of Images and Their Collections /
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2018.
300 ## - PHYSICAL DESCRIPTION
Number of Pages XVIII, 101 p.
490 1# - SERIES STATEMENT
Series statement Synthesis Lectures on Information Concepts, Retrieval, and Services,
505 0# - FORMATTED CONTENTS NOTE
Remark 2 Preface -- 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 ## - SUMMARY, ETC.
Summary, etc This 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.
700 1# - AUTHOR 2
Author 2 Lund, Haakon.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://doi.org/10.1007/978-3-031-02314-9
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- Cham :
-- Springer International Publishing :
-- Imprint: Springer,
-- 2018.
336 ## -
-- text
-- txt
-- rdacontent
337 ## -
-- computer
-- c
-- rdamedia
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-- online resource
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-- rdacarrier
347 ## -
-- text file
-- PDF
-- rda
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computer networks .
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computer Communication Networks.
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
-- 1947-9468
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-- ZDB-2-SXSC

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