國立高雄大學圖資館 |

語系: 繁體中文

說明(常見問題)

圖資館首頁

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Big data analytics for large-scale m...

Chang, Edward Y.,

Big data analytics for large-scale multimedia search /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Big data analytics for large-scale multimedia search /Stefanos Vrochidis, Information Technologies Institute, Centre for Research and Technology Hellas, Thessaloniki, Greece, Benoit B. Huet, EURECOM, Sophia-Antipolis, France, Edward Y. Chang, HTC Research & Healthcare San Francisco, USA, Ioannis Kompatsiaris, Information Technologies Institute, Centre for Research and Technology Hellas, Thessaloniki, Greece.
作者:	Vrochidis, Stefanos,
其他作者:	Huet, Benoit,
面頁冊數:	xxiii, 348 pages ; 25 cm.
標題:	Multimedia data mining.
電子資源:	https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=2091369
電子資源:	https://public.ebookcentral.proquest.com/choice/publicfullrecord.aspx?p=5741210
電子資源:	https://doi.org/10.1002/9781119376996
電子資源:	http://www.vlebooks.com/vleweb/product/openreader?id=none&isbn=9781119376989
電子資源:	http://www.vlebooks.com/vleweb/product/openreader?id=none&isbn=9781119377009
電子資源:	https://ebookcentral.proquest.com/lib/canterbury/detail.action?docID=5741210
電子資源:	https://ebookcentral.proquest.com/lib/uvic/detail.action?docID=5741210
ISBN:	9781119376989

Big data analytics for large-scale multimedia search /
Vrochidis, Stefanos,1975-

Big data analytics for large-scale multimedia search /Stefanos Vrochidis, Information Technologies Institute, Centre for Research and Technology Hellas, Thessaloniki, Greece, Benoit B. Huet, EURECOM, Sophia-Antipolis, France, Edward Y. Chang, HTC Research & Healthcare San Francisco, USA, Ioannis Kompatsiaris, Information Technologies Institute, Centre for Research and Technology Hellas, Thessaloniki, Greece. - xxiii, 348 pages ; 25 cm.

Includes bibliographical references and index.

Cover; Title Page; Copyright; Contents; Introduction; List of Contributors; About the Companion Website; Part I Feature Extraction from Big Multimedia Data; Chapter 1 Representation Learning on Large and Small Data; 1.1 Introduction; 1.2 Representative Deep CNNs; 1.2.1 AlexNet; 1.2.1.1 ReLU Nonlinearity; 1.2.1.2 Data Augmentation; 1.2.1.3 Dropout; 1.2.2 Network in Network; 1.2.2.1 MLP Convolutional Layer; 1.2.2.2 Global Average Pooling; 1.2.3 VGG; 1.2.3.1 Very Small Convolutional Filters; 1.2.3.2 Multi-scale Training; 1.2.4 GoogLeNet; 1.2.4.1 Inception Modules; 1.2.4.2 Dimension Reduction

"A timely overview of cutting edge technologies for multimedia retrieval with a special emphasis on scalability. The amount of multimedia data available every day is enormous and is growing at an exponential rate, creating a great need for new and more efficient approaches for large scale multimedia search. This book addresses that need, covering the area of multimedia retrieval and placing a special emphasis on scalability. It reports the recent works in large scale multimedia search, including research methods and applications, and is structured so that readers with basic knowledge can grasp the core message while still allowing experts and specialists to drill further down into the analytical sections. Big Data Analytics for Large-Scale Multimedia Search covers: representation learning, concept and event-based video search in large collections; big data multimedia mining, large scale video understanding, big multimedia data fusion, large-scale social multimedia analysis, privacy and audiovisual content, data storage and management for big multimedia, large scale multimedia search, multimedia tagging using deep learning, interactive interfaces for big multimedia and medical decision support applications using large multimodal data."--Provided by publisher.

ISBN: 9781119376989

Source: 9781119377009Wiley

LCCN: 2018037546

Nat. Bib. No.: GBB956590bnb

Nat. Bib. Agency Control No.: 019327505UkSubjects--Topical Terms:

790766
Multimedia data mining.
Index Terms--Genre/Form:

214472
Electronic books.

LC Class. No.: QA76.9.D343

Dewey Class. No.: 005.7

GPO Item No.: cam 2200733 i 4500

Big data analytics for large-scale multimedia search /
LDR:07515nam a2200745 a 4500 001 571206
003 OCoLC
005 20200910043322.0
006 m o d
007 cr |||||||||||
008 200910t20182019nju ob 001 0 eng
010 $a 2018037546
015 $a GBB956590 $2 bnb
016 7 $a 019327505 $2 Uk
019 $a 1100448615 $a 1175642953 $a 1181905240
020 $a 9781119376989 $q (Adobe PDF)
020 $a 111937698X
020 $a 9781119377009 $q (ePub)
020 $a 1119377005
020 $z 9781119376972 (hardcover): $c NT$1360
020 $a 9781119376996 $q (electronic bk.)
020 $a 1119376998 $q (electronic bk.)
020 $a 1119376971
020 $a 9781119376972
029 1 $a UKMGB $b 019327505
029 1 $a CHVBK $b 565571613
029 1 $a CHNEW $b 001048762
029 1 $a AU@ $b 000063820694
035 $a (OCoLC)1048047326 $z (OCoLC)1100448615 $z (OCoLC)1175642953 $z (OCoLC)1181905240
035 $a on1048047326
037 $a 9781119377009 $b Wiley
040 $a DLC $b eng $e rda $c DLC $d OCLCF $d DG1 $d N$T $d EBLCP $d UKMGB $d UWW $d COO $d DLC $d OCLCO $d UKAHL $d UX1 $d VT2 $d K6U
042 $a pcc
049 $a NUKM
050 0 0 $a QA76.9.D343
072 7 $a COM $x 021030 $2 bisacsh
074 5 9 $a cam 2200733 i 4500
082 0 0 $a 005.7 $2 23
100 1 $a Vrochidis, Stefanos, $d 1975- $e author. $3 858178
245 1 0 $a Big data analytics for large-scale multimedia search / $c Stefanos Vrochidis, Information Technologies Institute, Centre for Research and Technology Hellas, Thessaloniki, Greece, Benoit B. Huet, EURECOM, Sophia-Antipolis, France, Edward Y. Chang, HTC Research & Healthcare San Francisco, USA, Ioannis Kompatsiaris, Information Technologies Institute, Centre for Research and Technology Hellas, Thessaloniki, Greece.
263 $a 1812
264 1 $a Hoboken, NJ, USA : $b Wiley, $c [2018]
264 4 $c ©2019
300 $a xxiii, 348 pages ; $c 25 cm.
336 $a text $b txt $2 rdacontent
337 $a computer $b n $2 rdamedia
338 $a online resource $b nc $2 rdacarrier
504 $a Includes bibliographical references and index.
505 0 $a Cover; Title Page; Copyright; Contents; Introduction; List of Contributors; About the Companion Website; Part I Feature Extraction from Big Multimedia Data; Chapter 1 Representation Learning on Large and Small Data; 1.1 Introduction; 1.2 Representative Deep CNNs; 1.2.1 AlexNet; 1.2.1.1 ReLU Nonlinearity; 1.2.1.2 Data Augmentation; 1.2.1.3 Dropout; 1.2.2 Network in Network; 1.2.2.1 MLP Convolutional Layer; 1.2.2.2 Global Average Pooling; 1.2.3 VGG; 1.2.3.1 Very Small Convolutional Filters; 1.2.3.2 Multi-scale Training; 1.2.4 GoogLeNet; 1.2.4.1 Inception Modules; 1.2.4.2 Dimension Reduction
505 8 $a 1.2.5 ResNet1.2.5.1 Residual Learning; 1.2.5.2 Identity Mapping by Shortcuts; 1.2.6 Observations and Remarks; 1.3 Transfer Representation Learning; 1.3.1 Method Specifications; 1.3.2 Experimental Results and Discussion; 1.3.2.1 Results of Transfer Representation Learning for OM; 1.3.2.2 Results of Transfer Representation Learning for Melanoma; 1.3.2.3 Qualitative Evaluation: Visualization; 1.3.3 Observations and Remarks; 1.4 Conclusions; References; Chapter 2 Concept-Based and Event-Based Video Search in Large Video Collections; 2.1 Introduction
505 8 $a 2.2 Video preprocessing and Machine Learning Essentials2.2.1 Video Representation; 2.2.2 Dimensionality Reduction; 2.3 Methodology for Concept Detection and Concept-Based Video Search; 2.3.1 Related Work; 2.3.2 Cascades for Combining Different Video Representations; 2.3.2.1 Problem Definition and Search Space; 2.3.2.2 Problem Solution; 2.3.3 Multi-Task Learning for Concept Detection and Concept-Based Video Search; 2.3.4 Exploiting Label Relations; 2.3.5 Experimental Study; 2.3.5.1 Dataset and Experimental Setup; 2.3.5.2 Experimental Results; 2.3.5.3 Computational Complexity
505 8 $a 2.4 Methods for Event Detection and Event-Based Video Search2.4.1 Related Work; 2.4.2 Learning from Positive Examples; 2.4.3 Learning Solely from Textual Descriptors: Zero-Example Learning; 2.4.4 Experimental Study; 2.4.4.1 Dataset and Experimental Setup; 2.4.4.2 Experimental Results: Learning from Positive Examples; 2.4.4.3 Experimental Results: Zero-Example Learning; 2.5 Conclusions; 2.6 Acknowledgments; References; Chapter 3 Big Data Multimedia Mining: Feature Extraction Facing Volume, Velocity, and Variety; 3.1 Introduction; 3.2 Scalability through Parallelization
505 8 $a 3.2.1 Process Parallelization3.2.2 Data Parallelization; 3.3 Scalability through Feature Engineering; 3.3.1 Feature Reduction through Spatial Transformations; 3.3.2 Laplacian Matrix Representation; 3.3.3 Parallel latent Dirichlet allocation and bag of words; 3.4 Deep Learning-Based Feature Learning; 3.4.1 Adaptability that Conquers both Volume and Velocity; 3.4.2 Convolutional Neural Networks; 3.4.3 Recurrent Neural Networks; 3.4.4 Modular Approach to Scalability; 3.5 Benchmark Studies; 3.5.1 Dataset; 3.5.2 Spectrogram Creation; 3.5.3 CNN-Based Feature Extraction; 3.5.4 Structure of the CNNs
520 $a "A timely overview of cutting edge technologies for multimedia retrieval with a special emphasis on scalability. The amount of multimedia data available every day is enormous and is growing at an exponential rate, creating a great need for new and more efficient approaches for large scale multimedia search. This book addresses that need, covering the area of multimedia retrieval and placing a special emphasis on scalability. It reports the recent works in large scale multimedia search, including research methods and applications, and is structured so that readers with basic knowledge can grasp the core message while still allowing experts and specialists to drill further down into the analytical sections. Big Data Analytics for Large-Scale Multimedia Search covers: representation learning, concept and event-based video search in large collections; big data multimedia mining, large scale video understanding, big multimedia data fusion, large-scale social multimedia analysis, privacy and audiovisual content, data storage and management for big multimedia, large scale multimedia search, multimedia tagging using deep learning, interactive interfaces for big multimedia and medical decision support applications using large multimodal data."--Provided by publisher.
588 $a Description based on print version record and CIP data provided by publisher; resource not viewed.
650 0 $a Multimedia data mining. $3 790766
650 0 $a Big data. $3 609582
650 7 $a COMPUTERS $x Databases $x Data Mining. $2 bisacsh $3 858182
655 0 $a Electronic books. $2 local. $3 214472
700 1 $a Huet, Benoit, $e author. $3 858179
700 1 $a Chang, Edward Y., $e author. $3 858180
700 1 $a Kompatsiaris, Yiannis, $e author. $3 858181
776 0 8 $i Print version: $a Vrochidis, Stefanos, 1975- author. $t Big data analytics for large-scale multimedia search $d Hoboken, NJ, USA : Wiley, [2018] $z 9781119376972 $w (DLC) 2018035613
856 4 0 $3 EBSCOhost $u https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=2091369
856 4 0 $3 ProQuest Ebook Central $u https://public.ebookcentral.proquest.com/choice/publicfullrecord.aspx?p=5741210
856 4 0 $3 Wiley $u https://doi.org/10.1002/9781119376996
856 4 0 $3 VLeBooks $u http://www.vlebooks.com/vleweb/product/openreader?id=none&isbn=9781119376989
856 4 0 $u http://www.vlebooks.com/vleweb/product/openreader?id=none&isbn=9781119377009
856 4 0 $u https://ebookcentral.proquest.com/lib/canterbury/detail.action?docID=5741210 $y Connect to electronic resource Ebook Central - Academic Complete ANZ Edition
856 4 0 $u https://ebookcentral.proquest.com/lib/uvic/detail.action?docID=5741210
938 $a EBSCOhost $b EBSC $n 2091369
938 $a ProQuest Ebook Central $b EBLB $n EBL5741210
938 $a Askews and Holts Library Services $b ASKH $n AH34766808
994 $a C0 $b TWNUK

筆 0 讀者評論

館藏

1 筆 • 頁數 1 •
1

附件

320000724692

西方語文圖書區(四樓)

1圖書

一般圖書

QA76.9.D343 V984 2018

一般使用(Normal)

在架

1 筆 • 頁數 1 •
1

多媒體

多媒體檔案
https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=2091369
https://public.ebookcentral.proquest.com/choice/publicfullrecord.aspx?p=5741210
https://doi.org/10.1002/9781119376996
http://www.vlebooks.com/vleweb/product/openreader?id=none&isbn=9781119376989
http://www.vlebooks.com/vleweb/product/openreader?id=none&isbn=9781119377009
https://ebookcentral.proquest.com/lib/canterbury/detail.action?docID=5741210
https://ebookcentral.proquest.com/lib/uvic/detail.action?docID=5741210

評論

新增評論分享你的心得

Export

取書館別