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The Resource Understanding-Oriented Multimedia Content Analysis

Understanding-Oriented Multimedia Content Analysis

Label
Understanding-Oriented Multimedia Content Analysis
Title
Understanding-Oriented Multimedia Content Analysis
Creator
Subject
Language
eng
Member of
Cataloging source
MiAaPQ
Literary form
non fiction
Nature of contents
dictionaries
Series statement
Springer Theses Ser
Understanding-Oriented Multimedia Content Analysis
Label
Understanding-Oriented Multimedia Content Analysis
Link
http://libproxy.rpi.edu/login?url=https://ebookcentral.proquest.com/lib/rpi/detail.action?docID=4866432
Publication
Copyright
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Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
  • Supervisor's Foreword -- Preface -- Parts of this book have been published in the following articles:Zechao Li, Jing Liu, Jinhui Tang, Hanqing Lu. Robust Structured Subspace Learning for Data Representation. IEEE Trans. on Pattern Analysis and Machine Intelligence 37(10): 2085-2098, 2015.Zechao Li, Jinhui Tang. Unsupervised Feature Selection via Nonnegative Spectral Analysis and Redundancy Control. IEEE Trans. on Image Processing 24(12): 5343-5355, 2015.Zechao Li, Jing Liu, Yi Yang, Xiaofang Zhou, Hanqing Lu. Clustering-Guided Spa -- Acknowledgements -- Contents -- Notations -- 1 Introduction -- 1.1 Multimedia Analysis and Understanding -- 1.2 Challenges and Progresses -- 1.3 Understanding-Oriented Multimedia Content Analysis -- 1.4 Organization of This Book -- References -- 2 Understanding-Oriented Unsupervised Feature Selection -- 2.1 Introduction -- 2.2 Related Work -- 2.3 Clustering-Guided Sparse Structural Learning{u0083} -- 2.3.1 Nonnegative Spectral Clustering -- 2.3.2 Sparse Structural Analysis -- 2.3.3 Optimization -- 2.3.4 Convergence Analysis -- 2.3.5 Discussions -- 2.3.6 Experiments -- 2.4 Nonnegative Spectral Analysis and Redundancy Control for Unsupervised Feature Selection -- 2.4.1 The Objective Function -- 2.4.2 Optimization -- 2.4.3 Experiments -- 2.5 Discussions -- References -- 3 Understanding-Oriented Feature Learning -- 3.1 Introduction -- 3.2 Related Work -- 3.2.1 Feature Selection -- 3.2.2 Subspace Learning -- 3.3 The Proposed RSSL Framework -- 3.3.1 Formulation -- 3.3.2 Optimization -- 3.3.3 Computational Complexity Analysis -- 3.3.4 Image Understanding Tasks -- 3.4 Performance Evaluation -- 3.4.1 Image Tagging -- 3.4.2 Clustering -- 3.4.3 Classification -- 3.4.4 Discussion -- 3.5 Discussions -- References -- 4 Personalized Tag Recommendation -- 4.1 Introduction -- 4.2 Related Work
  • 4.3 Personalized Geo-Specific Tag Recommendation -- 4.3.1 Overview of Our Solution -- 4.3.2 Discovering Intermediate Space and Unified Space -- 4.3.3 Optimization -- 4.3.4 Tag Representation in Unified Space -- 4.3.5 Tag Recommendation -- 4.4 Performance Evaluation -- 4.4.1 Dataset -- 4.4.2 Evaluation Measures -- 4.4.3 Parameter Setting -- 4.4.4 Compared Methods -- 4.4.5 Parameter Sensitivity Analysis -- 4.4.6 Experimental Analysis -- 4.5 Discussions -- References -- 5 Understanding-Oriented Multimedia News Retrieval -- 5.1 Introduction -- 5.2 Related Work -- 5.3 Person-Centered Multimedia News Retrieval -- 5.3.1 Overview of the Proposed MMPNR System -- 5.3.2 Correlation Initialization -- 5.3.3 Correlation Reconstruction -- 5.3.4 Ranking and Visualization -- 5.4 Multimedia News Contextualization -- 5.4.1 Overview of GeoVisNews -- 5.4.2 News Document Geo-Localization -- 5.4.3 Image Enrichment -- 5.4.4 Result Ranking and Visualization -- 5.5 Discussions -- References -- 6 Understanding-Oriented Multimedia News Summarization -- 6.1 Introduction -- 6.2 Previous Work -- 6.3 Multimedia News Summarization -- 6.3.1 Hierarchical Topic Structure -- 6.3.2 Multimedia Topic Representation -- 6.3.3 User Interface Overview -- 6.4 Performance Evaluation -- 6.4.1 Data Sets and Experimental Settings -- 6.4.2 Parameter Sensitiveness -- 6.4.3 Summarization Evaluations -- 6.4.4 Interface Evaluations -- 6.5 Discussions -- References -- 7 Conclusion -- 7.1 Promising Topics -- 7.2 The Prospects
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Dimensions
unknown
http://library.link/vocab/discovery_link
{'f': 'http://opac.lib.rpi.edu/record=b4393510'}
Extent
1 online resource (166 pages)
Form of item
online
Isbn
9789811036897
Media category
computer
Media MARC source
rdamedia
Media type code
c
Sound
unknown sound
Specific material designation
remote

Library Locations

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