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Multimodal learning toward micro-video understanding / (Record no. 562438)

000 -LEADER
fixed length control field 06619nam a2200769 i 4500
001 - CONTROL NUMBER
control field 8845048
003 - CONTROL NUMBER IDENTIFIER
control field IEEE
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20200413152933.0
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS
fixed length control field m eo d
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr cn |||m|||a
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 190927s2019 caua fob 000 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781681736297
Qualifying information electronic
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Canceled/invalid ISBN 9781681736303
Qualifying information hardcover
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Canceled/invalid ISBN 9781681736280
Qualifying information paperback
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.2200/S00938ED1V01Y201907IVM020
Source of number or code doi
035 ## - SYSTEM CONTROL NUMBER
System control number (CaBNVSL)thg00979531
035 ## - SYSTEM CONTROL NUMBER
System control number (OCoLC)1121141680
040 ## - CATALOGING SOURCE
Original cataloging agency CaBNVSL
Language of cataloging eng
Description conventions rda
Transcribing agency CaBNVSL
Modifying agency CaBNVSL
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number HM742
Item number .N546 2019eb
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 302.23/1
Edition number 23
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Nie, Liqiang,
Relator term author.
245 10 - TITLE STATEMENT
Title Multimodal learning toward micro-video understanding /
Statement of responsibility, etc. Liqiang Nie, Meng Liu, and Xuemeng Song.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture [San Rafael, California] :
Name of producer, publisher, distributor, manufacturer Morgan & Claypool,
Date of production, publication, distribution, manufacture, or copyright notice [2019]
300 ## - PHYSICAL DESCRIPTION
Extent 1 PDF (xv, 170 pages) :
Other physical details color illustrations.
336 ## - CONTENT TYPE
Content type term text
Source rdacontent
337 ## - MEDIA TYPE
Media type term electronic
Source isbdmedia
338 ## - CARRIER TYPE
Carrier type term online resource
Source rdacarrier
490 1# - SERIES STATEMENT
Series statement Synthesis lectures on image, video, and multimedia processing,
International Standard Serial Number 1559-8144 ;
Volume/sequential designation #20
538 ## - SYSTEM DETAILS NOTE
System details note Mode of access: World Wide Web.
538 ## - SYSTEM DETAILS NOTE
System details note System requirements: Adobe Acrobat Reader.
500 ## - GENERAL NOTE
General note Part of: Synthesis digital library of engineering and computer science.
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes bibliographical references (pages).
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note 1. Introduction -- 1.1. Micro-video proliferation -- 1.2. Practical tasks -- 1.3. Research challenges -- 1.4. Our solutions -- 1.5. Book structure
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 2. Data collection -- 2.1. Dataset i for popularity prediction -- 2.2. Dataset ii for venue category estimation -- 2.3. Dataset iii for micro-video routing -- 2.4. Summary
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 3. Multimodal transductive learning for micro-video popularity prediction -- 3.1. Background -- 3.2. Research problems -- 3.3. Feature extraction -- 3.4. Related work -- 3.5. Notations and preliminaries -- 3.6. Multimodal transductive learning -- 3.7. Multi-modal transductive low-rank learning -- 3.8. Summary
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 4. Multimodal cooperative learning for micro-video venue categorization -- 4.1. Background -- 4.2. Research problems -- 4.3. Related work -- 4.4. Multimodal consistent learning -- 4.5. Multimodal complementary learning -- 4.6. Multimodal cooperative learning -- 4.7. Summary
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 5. Multimodal transfer learning in micro-video analysis -- 5.1. Background -- 5.2. Research problems -- 5.3. Related work -- 5.4. External sound dataset -- 5.5. Deep multi-modal transfer learning -- 5.6. Experiments -- 5.7. Summary
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 6. Multimodal sequential learning for micro-video recommendation -- 6.1. Background -- 6.2. Research problems -- 6.3. Related work -- 6.4. Multimodal sequential learning -- 6.5. Experiments -- 6.6. Summary
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 7. Research frontiers -- 7.1. Micro-video annotation -- 7.2. Micro-video captioning -- 7.3. Micro-video thumbnail selection -- 7.4. Semantic ontology construction -- 7.5. Pornographic content identification.
506 ## - RESTRICTIONS ON ACCESS NOTE
Terms governing access Abstract freely available; full-text restricted to subscribers or individual document purchasers.
510 0# - CITATION/REFERENCES NOTE
Name of source Compendex
510 0# - CITATION/REFERENCES NOTE
Name of source INSPEC
510 0# - CITATION/REFERENCES NOTE
Name of source Google scholar
510 0# - CITATION/REFERENCES NOTE
Name of source Google book search
520 ## - SUMMARY, ETC.
Summary, etc. Micro-videos, a new form of user-generated content, have been spreading widely across various social platforms, such as Vine, Kuaishou, and TikTok. Different from traditional long videos, micro-videos are usually recorded by smart mobile devices at any place within a few seconds. Due to their brevity and low bandwidth cost, micro-videos are gaining increasing user enthusiasm. The blossoming of micro-videos opens the door to the possibility of many promising applications, ranging from network content caching to online advertising. Thus, it is highly desirable to develop an effective scheme for high-order micro-video understanding. Micro-video understanding is, however, non-trivial due to the following challenges: (1) how to represent micro-videos that only convey one or few high-level themes or concepts; (2) how to utilize the hierarchical structure of venue categories to guide micro-video analysis; (3) how to alleviate the influence of low quality caused by complex surrounding environments and camera shake; (4) how to model multimodal sequential data, i.e. textual, acoustic, visual, and social modalities to enhance micro-video understanding; and (5) how to construct large-scale benchmark datasets for analysis. These challenges have been largely unexplored to date. In this book, we focus on addressing the challenges presented above by proposing some state-of-the-art multimodal learning theories. To demonstrate the effectiveness of these models, we apply them to three practical tasks of micro-video understanding: popularity prediction, venue category estimation, and micro-video routing. Particularly, we first build three large-scale real-world micro-video datasets for these practical tasks. We then present a multimodal transductive learning framework for micro-video popularity prediction. Furthermore, we introduce several multimodal cooperative learning approaches and a multimodal transfer learning scheme for micro-video venue category estimation. Meanwhile, we develop a multimodal sequential learning approach for micro-video recommendation. Finally, we conclude the book and figure out the future research directions in multimodal learning toward micro-video understanding.
530 ## - ADDITIONAL PHYSICAL FORM AVAILABLE NOTE
Additional physical form available note Also available in print.
588 ## - SOURCE OF DESCRIPTION NOTE
Source of description note Title from PDF title page (viewed on September 27, 2019).
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Social media
General subdivision Data processing.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Social media
General subdivision Forecasting.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Learning.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Multiple intelligences.
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term micro-video understanding
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term multimodal transductive learning
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term multimodal cooperative learning
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term multimodal transfer learning
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term multimodal sequential learning
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term popularity prediction
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term venue category estimation
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term micro-video recommendation
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Liu, Meng
Fuller form of name (Computer scientist),
Relator term author.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Song, Xuemeng
Titles and other words associated with a name (Computer scientist),
Relator term author.
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Print version:
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Synthesis lectures on image, video, and multimedia processing ;
Volume/sequential designation #20.
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Synthesis digital library of engineering and computer science.
856 40 - ELECTRONIC LOCATION AND ACCESS
Materials specified Abstract with links to full text
Uniform Resource Identifier https://doi.org/10.2200/S00938ED1V01Y201907IVM020
856 42 - ELECTRONIC LOCATION AND ACCESS
Materials specified Abstract with links to resource
Uniform Resource Identifier https://ieeexplore.ieee.org/servlet/opac?bknumber=8845048
Holdings
Withdrawn status Lost status Damaged status Not for loan Permanent Location Current Location Date acquired Barcode Date last seen Price effective from Koha item type
        PK Kelkar Library, IIT Kanpur PK Kelkar Library, IIT Kanpur 2020-04-13 EBKE938 2020-04-13 2020-04-13 E books

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