This book constitutes the thoroughly refereed post-proceedings of the 4th International Workshop on Adaptive Multimedia Retrieval, AMR 2006, held in Geneva, Switzerland in July 2006.
The 18 revised full papers presented together with 2 invited papers were carefully selected during two rounds of reviewing and improvement. Also included are two invited contributions that have been intended to open on less-addressed topics in the community, as it is the case for music information retrieval and distributed information retrieval. The papers are organized in topical sections on ontology-based retrieval and annotation, ranking and similarity measurements, music information retrieval, visual modelling, adaptive retrieval, structuring multimedia, as well as user integration and profiling.
Author(s): Stéphane Marchand-Maillet, Eric Bruno
Edition: 1
Publisher: Springer
Year: 2007
Language: English
Pages: 269
3540715444......Page 1
Title......Page 2
Preface......Page 5
Organization......Page 6
Table of Contents......Page 8
Introduction......Page 11
User Query Processing......Page 12
Background Studies......Page 13
The Method for Processing Natural Language Query in Our System......Page 16
Experimental Results and Evaluation......Page 18
References......Page 20
Introduction......Page 22
Related Work......Page 23
Requirements of a Standardized Annotation Approach......Page 24
Image Description......Page 26
Searching for Images......Page 29
An Image Annotation Prototype......Page 33
Conclusions and Future Work......Page 35
Introduction......Page 38
Modeling Components......Page 40
Events......Page 41
Video Model......Page 42
Detail Design......Page 44
Case Study (Football Videos)......Page 47
Conclusion......Page 50
Introduction......Page 52
Ranking Loss......Page 53
Passive-Aggressive Loss Minimization......Page 54
Visual Features......Page 55
Related Work......Page 56
Cross-Media Translation Table......Page 57
Experiments and Results......Page 58
Overall Performance......Page 59
Per-query Performance......Page 61
Conclusions......Page 64
Introduction......Page 67
Related Work......Page 68
A Contrast Invariant Image Comparison Method......Page 69
Problem Statement......Page 72
Bounds on the Number of Sample Points......Page 73
Number of Sample Points Under Hypothesis $H_1$......Page 74
Experiments of Image Retrieval and Image Comparison......Page 75
Conclusion and Perspectives......Page 77
Proofs......Page 78
Introduction......Page 81
Dissimilarity Measure Between Two Video Segments......Page 82
Wilcoxon Rank-Sum Test......Page 83
Feature Combination by Weighting......Page 84
Selection of the Interest Points......Page 85
Trajectory Information......Page 86
Motion Intensity Information......Page 87
Gesture Video Database......Page 88
Summary and Conclusions......Page 90
Introduction......Page 92
Metadata-Based and Content-Based Approaches......Page 93
Musical Similarity......Page 94
MIR Systems......Page 95
Is Music Information?......Page 96
How Musical Are Humans?......Page 100
Interaction with MIR Applications......Page 101
Conclusion......Page 102
References......Page 103
Introduction......Page 105
2D-HMM......Page 106
DT-HMM......Page 107
Fundamental Problems......Page 108
Viterbi Algorithm......Page 109
States with Semantic Labels......Page 110
Experiment Results......Page 112
Application to Object Tracking......Page 113
Trees and Duals......Page 115
Conclusion......Page 116
References......Page 117
Introduction......Page 118
Extraction and Description of Convex and Concave Face Regions......Page 120
3D Weighted Walkthroughs......Page 121
WWs Between 3D Surfaces......Page 122
Similarity Measure for 3DWWs......Page 123
Experimental Results......Page 126
Matching Face Representations......Page 124
Conclusions......Page 127
Introduction......Page 129
The Proposed Approach......Page 131
Shot Analysis......Page 133
Low-Level Action Parameters......Page 134
Fuzzy Symbolic Action Description......Page 135
Example of Action Content Description......Page 136
Color Characterization......Page 137
Color Parameters......Page 138
Example of Color Content Representation......Page 139
The Classification Method......Page 141
Experimental Results......Page 142
Conclusions and Future Work......Page 144
Introduction......Page 146
Layout Characterization......Page 147
Similarity Measure......Page 148
Experimental Results......Page 152
Conclusion......Page 156
References......Page 157
Introduction......Page 159
Overview of CAIN......Page 160
Extensibility in CAIN and the DM......Page 161
CAIN Architecture......Page 162
Description Tools for Metadata-Driven Adaptation......Page 163
Content Adaptation as a Constraints Satisfaction Problem......Page 167
Applying Mandatory Constraints......Page 168
The Decision Module......Page 166
Applying Desirable Constraints......Page 169
Content Adaptation with Optimization......Page 170
Conclusions......Page 172
References......Page 173
Introduction......Page 174
Replication in Unstructured Networks......Page 176
Adaptation to the Querying User......Page 177
Distributed Indexing Structures......Page 178
Adaptation to the Index Data......Page 180
Routing-Based Approaches......Page 181
PlanetP......Page 182
Adaptation to the Index Data......Page 184
Experiments......Page 185
Conclusion......Page 186
Related Work......Page 189
Interactive Museum Guide......Page 190
Object Recognition......Page 191
Interest Point Detection......Page 192
Interest Point Description......Page 193
Image Matching......Page 195
Experimental Results......Page 196
Object Recognition......Page 198
Automatic Room Detection......Page 199
Introduction......Page 202
Related Work......Page 204
A Semantic Image Retrieval Framework......Page 205
The VOIR Semantic Image Retrieval System......Page 206
Region-Based Relevance Feedback......Page 207
Region Clustering......Page 208
Process of Learning Term-Region Associations......Page 209
Semantic Layer......Page 210
Query Engine......Page 211
Experiments......Page 212
Experimental Procedure......Page 213
Results Obtained......Page 214
References......Page 215
Introduction......Page 217
Formalization of Segmentation Results by Coverings......Page 218
Models of Multilevel Image Representations......Page 222
References......Page 231
Results and Outlook......Page 228
Introduction......Page 232
Stream Segmentation into Programs......Page 233
First Step: Using Silence and Monochromatic Frames......Page 234
Second Step: Improving Segmentation with Detection of Duplicates......Page 235
Automatic Labeling......Page 236
Choosing Best Labels......Page 237
Results......Page 238
Updating the Labeled Reference Video Dataset......Page 240
Introduction......Page 242
ImageCLEFmed 2005......Page 243
Topics......Page 244
Pooling and Constraints for the Judgement Process......Page 245
Outcome of the Evaluation......Page 246
Discussion and Conclusions......Page 253
The Relevance Judgement Process......Page 247
Selection of Judges and Problems Encountered......Page 248
Differences Per Topic......Page 249
Ambiguous and Non--ambiguous Topics......Page 250
Influence of Varying Judgements on the Results......Page 252
Introduction......Page 257
PERCIRS’s Architecture......Page 259
Related Work......Page 258
Query Similarity Calculation Methods......Page 260
Query Based Profile Similarity......Page 261
Document Based Profile Similarity......Page 262
Query-Document Based Profile Similarity......Page 263
References......Page 266
The Personalized CIR Algorithm......Page 264
Motivation......Page 268
Prototype......Page 269
Design......Page 272
Results......Page 273
Discussion......Page 276
Conclusions......Page 277
References......Page 278
Author Index......Page 279
