Modern machine learning techniques and their applications in cartoon animation research / (Record no. 42463)
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| 000 -LEADER | |
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| fixed length control field | 06685nam a2200757 i 4500 |
| 001 - CONTROL NUMBER | |
| control field | 6497234 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | IEEE |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20191218152124.0 |
| 006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS | |
| fixed length control field | m o d |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION | |
| fixed length control field | cr |n||||||||| |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 151222s2013 nju ob 001 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781118559963 |
| Qualifying information | ebook |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| Canceled/invalid ISBN | 9781118115145 |
| Qualifying information | |
| 024 7# - OTHER STANDARD IDENTIFIER | |
| Standard number or code | 10.1002/9781118559963 |
| Source of number or code | doi |
| 035 ## - SYSTEM CONTROL NUMBER | |
| System control number | (CaBNVSL)mat06497234 |
| 035 ## - SYSTEM CONTROL NUMBER | |
| System control number | (IDAMS)0b00006481d2fb0b |
| 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 | Q325.5 |
| Item number | .Y83 2013eb |
| 082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 006.6/96 |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 006.6/96 |
| Edition number | 23 |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Yu, Jun, |
| Relator term | author. |
| 245 10 - TITLE STATEMENT | |
| Title | Modern machine learning techniques and their applications in cartoon animation research / |
| Statement of responsibility, etc. | Jun Yu, Dacheng Tao. |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Place of production, publication, distribution, manufacture | Piscataway, New Jersey : |
| Name of producer, publisher, distributor, manufacturer | IEEE Press, |
| Date of production, publication, distribution, manufacture, or copyright notice | c2013. |
| 264 #2 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Place of production, publication, distribution, manufacture | [Piscataqay, New Jersey] : |
| Name of producer, publisher, distributor, manufacturer | IEEE Xplore, |
| Date of production, publication, distribution, manufacture, or copyright notice | [2013] |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 1 PDF (208 pages). |
| 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 | IEEE Press Series on Systems Science and Engineering ; |
| Volume/sequential designation | 4 |
| 500 ## - GENERAL NOTE | |
| General note | "Systems, Man, & Cybernetics Society" |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | Preface xi -- 1 Introduction 1 -- 1.1 Perception 2 -- 1.2 Overview of Machine Learning Techniques 2 -- 1.2.1 Manifold Learning 3 -- 1.2.2 Semi-supervised Learning 5 -- 1.2.3 Multiview Learning 8 -- 1.2.4 Learning-based Optimization 9 -- 1.3 Recent Developments in Computer Animation 11 -- 1.3.1 Example-Based Motion Reuse 11 -- 1.3.2 Physically Based Computer Animation 26 -- 1.3.3 Computer-Assisted Cartoon Animation 33 -- 1.3.4 Crowd Animation 42 -- 1.3.5 Facial Animation 51 -- 1.4 Chapter Summary 60 -- 2 Modern Machine Learning Techniques 63 -- 2.1 A Unified Framework for Manifold Learning 65 -- 2.1.1 Framework Introduction 65 -- 2.1.2 Various Manifold Learning Algorithm Unifying 67 -- 2.1.3 Discriminative Locality Alignment 69 -- 2.1.4 Discussions 71 -- 2.2 Spectral Clustering and Graph Cut 71 -- 2.2.1 Spectral Clustering 72 -- 2.2.2 Graph Cut Approximation 76 -- 2.3 Ensemble Manifold Learning 81 -- 2.3.1 Motivation for EMR 81 -- 2.3.2 Overview of EMR 81 -- 2.3.3 Applications of EMR 84 -- 2.4 Multiple Kernel Learning 86 -- 2.4.1 A Unified Mulitple Kernel Learning Framework 87 -- 2.4.2 SVM with Multiple Unweighted-Sum Kernels 89 -- 2.4.3 QCQP Multiple Kernel Learning 89 -- 2.5 Multiview Subspace Learning 90 -- 2.5.1 Approach Overview 90 -- 2.5.2 Techinique Details 90 -- 2.5.3 Alternative Optimization Used in PA-MSL 93 -- 2.6 Multiview Distance Metric Learning 94 -- 2.6.1 Motivation for MDML 94 -- 2.6.2 Graph-Based Semi-supervised Learning 95 -- 2.6.3 Overview of MDML 95 -- 2.7 Multi-task Learning 98 -- 2.7.1 Introduction of Structural Learning 99 -- 2.7.2 Hypothesis Space Selection 100 -- 2.7.3 Algorithm for Multi-task Learning 101 -- 2.7.4 Solution by Alternative Optimization 102 -- 2.8 Chapter Summary 103 -- 3 Animation Research: A Brief Introduction 105 -- 3.1 Traditional Animation Production 107 -- 3.1.1 History of Traditional Animation Production 107 -- 3.1.2 Procedures of Animation Production 108 -- 3.1.3 Relationship Between Traditional Animation and Computer Animation 109. |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | 3.2 Computer-Assisted Systems 110 -- 3.2.1 Computer Animation Techniques 111 -- 3.3 Cartoon Reuse Systems for Animation Synthesis 117 -- 3.3.1 Cartoon Texture for Animation Synthesis 118 -- 3.3.2 Cartoon Motion Reuse 120 -- 3.3.3 Motion Capture Data Reuse in Cartoon Characters 122 -- 3.4 Graphical Materials Reuse: More Examples 124 -- 3.4.1 Video Clips Reuse 124 -- 3.4.2 Motion Captured Data Reuse by Motion Texture 126 -- 3.4.3 Motion Capture Data Reuse by Motion Graph 127 -- 3.5 Chapter Summary 129 -- 4 Animation Research: Modern Techniques 131 -- 4.1 Automatic Cartoon Generation with Correspondence Construction 131 -- 4.1.1 Related Work in Correspondence Construction 132 -- 4.1.2 Introduction of the Semi-supervised Correspondence Construction 133 -- 4.1.3 Stroke Correspondence Construction via Stroke Reconstruction Algorithm 138 -- 4.1.4 Simulation Results 141 -- 4.2 Cartoon Characters Represented by Multiple Features 146 -- 4.2.1 Cartoon Character Extraction 147 -- 4.2.2 Color Histogram 148 -- 4.2.3 Hausdorff Edge Feature 148 -- 4.2.4 Motion Feature 150 -- 4.2.5 Skeleton Feature 151 -- 4.2.6 Complementary Characteristics of Multiview Features 153 -- 4.3 Graph-based Cartoon Clips Synthesis 154 -- 4.3.1 Graph Model Construction 155 -- 4.3.2 Distance Calculation 155 -- 4.3.3 Simulation Results 156 -- 4.4 Retrieval-based Cartoon Clips Synthesis 161 -- 4.4.1 Constrained Spreading Activation Network 162 -- 4.4.2 Semi-supervised Multiview Subspace Learning 165 -- 4.4.3 Simulation Results 168 -- 4.5 Chapter Summary 173 -- References 174 -- Index 195. |
| 506 1# - RESTRICTIONS ON ACCESS NOTE | |
| Terms governing access | Restricted to subscribers or individual electronic text purchasers. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | The integration of machine learning techniques and cartoon animation research is fast becoming a hot topic. This book helps readers learn the latest machine learning techniques, including patch alignment framework; spectral clustering, graph cuts, and convex relaxation; ensemble manifold learning; multiple kernel learning; multiview subspace learning; and multiview distance metric learning. It then presents the applications of these modern machine learning techniques in cartoon animation research. With these techniques, users can efficiently utilize the cartoon materials to generate animations |
| 530 ## - ADDITIONAL PHYSICAL FORM AVAILABLE NOTE | |
| Additional physical form available note | Also available in print. |
| 538 ## - SYSTEM DETAILS NOTE | |
| System details note | Mode of access: World Wide Web |
| 588 ## - SOURCE OF DESCRIPTION NOTE | |
| Source of description note | Description based on PDF viewed 12/22/2015. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Computer animation. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Machine learning. |
| 655 #0 - INDEX TERM--GENRE/FORM | |
| Genre/form data or focus term | Electronic books. |
| 695 ## - | |
| -- | Algorithm design and analysis |
| 695 ## - | |
| -- | Animation |
| 695 ## - | |
| -- | Cameras |
| 695 ## - | |
| -- | Computational modeling |
| 695 ## - | |
| -- | Context |
| 695 ## - | |
| -- | Data models |
| 695 ## - | |
| -- | Extraterrestrial measurements |
| 695 ## - | |
| -- | Films |
| 695 ## - | |
| -- | History |
| 695 ## - | |
| -- | Image color analysis |
| 695 ## - | |
| -- | Laplace equations |
| 695 ## - | |
| -- | Manifolds |
| 695 ## - | |
| -- | Motion pictures |
| 695 ## - | |
| -- | Optimization |
| 695 ## - | |
| -- | Principal component analysis |
| 695 ## - | |
| -- | Production |
| 695 ## - | |
| -- | Semisupervised learning |
| 695 ## - | |
| -- | Shape |
| 695 ## - | |
| -- | Solid modeling |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Tao, Dacheng, |
| Dates associated with a name | 1978- |
| 710 2# - ADDED ENTRY--CORPORATE NAME | |
| Corporate name or jurisdiction name as entry element | IEEE Xplore (Online Service), |
| Relator term | distributor. |
| 710 2# - ADDED ENTRY--CORPORATE NAME | |
| Corporate name or jurisdiction name as entry element | John Wiley & Sons, |
| Relator term | publisher. |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
| Relationship information | Print version: |
| International Standard Book Number | 9781118115145 |
| 830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
| Uniform title | IEEE Press Series on Systems Science and Engineering ; |
| Volume/sequential designation | 4 |
| 856 42 - ELECTRONIC LOCATION AND ACCESS | |
| Materials specified | Abstract with links to resource |
| Uniform Resource Identifier | https://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=6497234 |
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