語系:
繁體中文
English
日文
簡体中文
說明(常見問題)
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Images in social media :categorizati...
~
Lund, Haakon,
Images in social media :categorization and organization of images and their collections /
紀錄類型:
書目-電子資源 : Monograph/item
杜威分類號:
025.067
書名/作者:
Images in social media : : categorization and organization of images and their collections // Susanne �rnager and Haakon Lund.
作者:
�rnager, Susanne,
其他作者:
Lund, Haakon,
出版者:
[San Rafael, California] : : Morgan & Claypool,, 2018.
面頁冊數:
1 PDF (xviii, 101 pages) : : illustrations.
附註:
Part of: Synthesis digital library of engineering and computer science.
標題:
Pictures - Computer network resources.
標題:
Digital images - Computer network resources.
標題:
Internet research.
標題:
Eye tracking.
ISBN:
9781681730806
書目註:
Includes bibliographical references (pages 85-100).
內容註:
1. 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 --
摘要、提要註:
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.
電子資源:
http://ieeexplore.ieee.org/servlet/opac?bknumber=8290768
Images in social media :categorization and organization of images and their collections /
�rnager, Susanne,
Images in social media :
categorization and organization of images and their collections /Susanne �rnager and Haakon Lund. - [San Rafael, California] :Morgan & Claypool,2018. - 1 PDF (xviii, 101 pages) :illustrations. - Synthesis lectures on information concepts, retrieval, and services,# 621947-9468 ;. - Synthesis digital library of engineering and computer science..
Part of: Synthesis digital library of engineering and computer science.
Includes bibliographical references (pages 85-100).
1. 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 --
Abstract freely available; full-text restricted to subscribers or individual document purchasers.
Compendex
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.
Mode of access: World Wide Web.
ISBN: 9781681730806
Standard No.: 10.2200/S00821ED1V01Y201712ICR062doiSubjects--Topical Terms:
729061
Pictures
--Computer network resources.Subjects--Index Terms:
imagesIndex Terms--Genre/Form:
336502
Electronic books.
LC Class. No.: N59 / .O753 2018
Dewey Class. No.: 025.067
Images in social media :categorization and organization of images and their collections /
LDR
:05551nmm 2200721 i 4500
001
509522
003
IEEE
005
20180224161635.0
006
m eo d
007
cr cn |||m|||a
008
210524s2018 caua foab 000 0 eng d
020
$a
9781681730806
$q
ebook
020
$z
9781681730790
$q
paperback
020
$z
9781681732770
$q
hardcover
024
7
$a
10.2200/S00821ED1V01Y201712ICR062
$2
doi
035
$a
(CaBNVSL)swl00408189
035
$a
(OCoLC)1022193420
035
$a
8290768
040
$a
CaBNVSL
$b
eng
$e
rda
$c
CaBNVSL
$d
CaBNVSL
050
4
$a
N59
$b
.O753 2018
082
0 4
$a
025.067
$2
23
100
1
$a
�rnager, Susanne,
$e
author.
$3
729059
245
1 0
$a
Images in social media :
$b
categorization and organization of images and their collections /
$c
Susanne �rnager and Haakon Lund.
260
1
$a
[San Rafael, California] :
$b
Morgan & Claypool,
$c
2018.
264
1
$a
[San Rafael, California] :
$b
Morgan & Claypool,
$c
2018.
300
$a
1 PDF (xviii, 101 pages) :
$b
illustrations.
336
$a
text
$2
rdacontent
337
$a
electronic
$2
isbdmedia
338
$a
online resource
$2
rdacarrier
490
1
$a
Synthesis lectures on information concepts, retrieval, and services,
$x
1947-9468 ;
$v
# 62
500
$a
Part of: Synthesis digital library of engineering and computer science.
504
$a
Includes bibliographical references (pages 85-100).
505
0
$a
1. 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
$a
2. 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
$a
3. 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
$a
4. Trends in handling future image collections -- Bibliography -- Authors' biographies.
506
$a
Abstract freely available; full-text restricted to subscribers or individual document purchasers.
510
0
$a
Compendex
510
0
$a
INSPEC
510
0
$a
Google scholar
510
0
$a
Google book search
520
3
$a
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.
530
$a
Also available in print.
538
$a
Mode of access: World Wide Web.
588
$a
Title from PDF title page (viewed on February 24, 2018).
650
0
$a
Pictures
$x
Computer network resources.
$3
729061
650
0
$a
Digital images
$x
Computer network resources.
$3
729062
650
0
$a
Internet research.
$3
401397
650
0
$a
Eye tracking.
$3
603777
653
$a
images
653
$a
social media
653
$a
image tags
653
$a
academic image domains
653
$a
image facets
653
$a
image indexing
653
$a
image guidelines
653
$a
image retrieval
653
$a
image literature review
653
$a
PRISMA
653
$a
Grounded Theory
653
$a
eye-tracking
653
$a
salient image features
653
$a
test image templates
653
$a
image citation analysis
653
$a
image management
653
$a
text recognition
653
$a
image literacy
655
0
$a
Electronic books.
$2
local
$3
336502
700
1
$a
Lund, Haakon,
$e
author.
$3
729060
776
0 8
$i
Print version:
$z
9781681730790
$z
9781681732770
830
0
$a
Synthesis digital library of engineering and computer science.
$3
461208
830
0
$a
Synthesis lectures on information concepts, retrieval, and services ;
$v
#22.
$3
492714
856
4 2
$3
Abstract with links to resource
$u
http://ieeexplore.ieee.org/servlet/opac?bknumber=8290768
筆 0 讀者評論
多媒體
多媒體檔案
http://ieeexplore.ieee.org/servlet/opac?bknumber=8290768
評論
新增評論
分享你的心得
Export
取書館別
處理中
...
變更密碼
登入