Images in Social Media: Categorization and Organization of Images and Their Collections

Research output: Book/ReportBookResearchpeer-review

Standard

Images in Social Media : Categorization and Organization of Images and Their Collections . / Ørnager, Susanne; Lund, Haakon.

University of North Carolina, Chapel Hill : Morgan & Claypool Publishers LLC, 2018. 120 p. (Synthesis Lectures on Information Concepts, Retrieval, and Services; No. 1, Vol. 10).

Research output: Book/ReportBookResearchpeer-review

Harvard

Ørnager, S & Lund, H 2018, Images in Social Media: Categorization and Organization of Images and Their Collections . Synthesis Lectures on Information Concepts, Retrieval, and Services, no. 1, vol. 10, Morgan & Claypool Publishers LLC, University of North Carolina, Chapel Hill. https://doi.org/10.2200/S00821ED1V01Y201712ICR062

APA

Ørnager, S., & Lund, H. (2018). Images in Social Media: Categorization and Organization of Images and Their Collections . Morgan & Claypool Publishers LLC. Synthesis Lectures on Information Concepts, Retrieval, and Services Vol. 10 No. 1 https://doi.org/10.2200/S00821ED1V01Y201712ICR062

Vancouver

Ørnager S, Lund H. Images in Social Media: Categorization and Organization of Images and Their Collections . University of North Carolina, Chapel Hill: Morgan & Claypool Publishers LLC, 2018. 120 p. (Synthesis Lectures on Information Concepts, Retrieval, and Services; No. 1, Vol. 10). https://doi.org/10.2200/S00821ED1V01Y201712ICR062

Author

Ørnager, Susanne ; Lund, Haakon. / Images in Social Media : Categorization and Organization of Images and Their Collections . University of North Carolina, Chapel Hill : Morgan & Claypool Publishers LLC, 2018. 120 p. (Synthesis Lectures on Information Concepts, Retrieval, and Services; No. 1, Vol. 10).

Bibtex

@book{758f96bbce7546d7a3d2ead7c899ce6e,
title = "Images in Social Media: Categorization and Organization of Images and Their Collections ",
abstract = "This book focuses on methodologies, organization and communication of digital image collection research that utilize social media content. (“Image” is here understood as cultural, conventional and commercial - stock photos - representations.) The lecture offer 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 viewer{\textquoteright}s attention. This literary 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 demonstrating the nexus of image research literature and the journals in which they appear. Eye-tracking test whether scholarly templates focus on the proper features of an image such as persons, object, time etc., and if a prescribed theme affects the eye movements of the observers. 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{\textquoteright}s scope is by necessity far from being comprehensive, since the field of digital images 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. ",
keywords = "Faculty of Humanities, Images, social media, image tags, academic image domains, image facets, image indexing, image guidelines, image retrieval, image literature review, PRISMA, Grounded Theory, eye-tracking, salient image features, test image templates, image citation analysis, image management, text recognition, image literacy, Images, social media, image tags, academic image domains, image facets, image indexing, image guidelines, image retrieval, image literature review, PRISMA, Grounded Theory, Eye-tracking, salient image features, test image templates, image citation analysis, image management, text recognition, image literacy",
author = "Susanne {\O}rnager and Haakon Lund",
year = "2018",
month = jan,
doi = "10.2200/S00821ED1V01Y201712ICR062",
language = "English",
isbn = "9781681730790",
series = "Synthesis Lectures on Information Concepts, Retrieval, and Services",
publisher = "Morgan & Claypool Publishers LLC",
number = "1",

}

RIS

TY - BOOK

T1 - Images in Social Media

T2 - Categorization and Organization of Images and Their Collections

AU - Ørnager, Susanne

AU - Lund, Haakon

PY - 2018/1

Y1 - 2018/1

N2 - This book focuses on methodologies, organization and communication of digital image collection research that utilize social media content. (“Image” is here understood as cultural, conventional and commercial - stock photos - representations.) The lecture offer 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 viewer’s attention. This literary 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 demonstrating the nexus of image research literature and the journals in which they appear. Eye-tracking test whether scholarly templates focus on the proper features of an image such as persons, object, time etc., and if a prescribed theme affects the eye movements of the observers. 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 being comprehensive, since the field of digital images 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.

AB - This book focuses on methodologies, organization and communication of digital image collection research that utilize social media content. (“Image” is here understood as cultural, conventional and commercial - stock photos - representations.) The lecture offer 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 viewer’s attention. This literary 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 demonstrating the nexus of image research literature and the journals in which they appear. Eye-tracking test whether scholarly templates focus on the proper features of an image such as persons, object, time etc., and if a prescribed theme affects the eye movements of the observers. 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 being comprehensive, since the field of digital images 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.

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KW - image tags

KW - academic image domains

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KW - image retrieval

KW - image literature review

KW - PRISMA

KW - Grounded Theory

KW - eye-tracking

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KW - image literacy

KW - Images

KW - social media

KW - image tags

KW - academic image domains

KW - image facets

KW - image indexing

KW - image guidelines

KW - image retrieval

KW - image literature review

KW - PRISMA

KW - Grounded Theory

KW - Eye-tracking

KW - salient image features

KW - test image templates

KW - image citation analysis

KW - image management

KW - text recognition

KW - image literacy

U2 - 10.2200/S00821ED1V01Y201712ICR062

DO - 10.2200/S00821ED1V01Y201712ICR062

M3 - Book

SN - 9781681730790

SN - 9781681732770

T3 - Synthesis Lectures on Information Concepts, Retrieval, and Services

BT - Images in Social Media

PB - Morgan & Claypool Publishers LLC

CY - University of North Carolina, Chapel Hill

ER -

ID: 184916060