This volume provides an overview of multimedia data mining and knowledge discovery and discusses the variety of hot topics in multimedia data mining research. It describes the objectives and current tendencies in multimedia data mining research and their applications. Each part contains an overview of its chapters and leads the reader with a structured approach through the diverse subjects in the field.
Author(s): Valery A. Petrushin (Editor), Latifur Khan (Editor)
Edition: 1st Edition.
Publisher: Springer
Year: 2007
Language: English
Pages: 539
Tags: Информатика и вычислительная техника;Искусственный интеллект;Интеллектуальный анализ данных;
1846284368......Page 1
Multimedia Data
Mining and
Knowledge Discovery......Page 3
List of Contributors......Page 19
Contents......Page 5
Preface......Page 17
Part I
Introduction......Page 26
1. Introduction into Multimedia Data Mining
and Knowledge Disc......Page 27
2. Multimedia Data Mining: An Overview......Page 38
Part II
Multimedia Data Exploration and Visualization......Page 62
3. A New Hierarchical Approach
for Image Clustering......Page 63
4. Multiresolution Clustering of Time Series
and Application to Images......Page 80
5. Mining Rare and Frequent Events
in Multi-camera Surveillance Video......Page 102
6. Density-Based Data Analysis and
Similarity Search......Page 116
7. Feature Selection for Classification of
Variable Length Multiattribute Motions......Page 138
Part III
Multimedia Data Indexing
and Retrieval......Page 160
8. FAST: Fast and Semantics-Tailored
Image Retrieval......Page 161
9. New Image Retrieval Principle: Image
Mining and Visual Ontology......Page 188
10. Visual Alphabets: Video Classification
by End Users......Page 205
Part IV
Multimedia Data Modeling and Evaluation......Page 227
11. Cognitively Motivated Novelty Detection
in Video Data Streams......Page 228
12. Video Event Mining via Multimodal
Content Analysis and Classification......Page 253
13. Exploiting Spatial Transformations
for Identifying Mappings in Hierarchical
Media Data......Page 278
14. A Novel Framework for Semantic
Image Classification and Benchmark Via
Salient Objects......Page 310
15. Extracting Semantics Through
Dynamic Context......Page 326
16. Mining Image Content by Aligning
Entropies with an Exemplar......Page 344
17. More Efficient Mining Over
Heterogeneous Data Using Neural Expert
Networks......Page 359
18. A Data Mining Approach to Expressive
Music Performance Modeling......Page 381
Part V
Applications and Case Studies......Page 400
19. Supporting Virtual Workspace Design
Through Media Mining and Reverse
Engineering......Page 401
20. A Time-Constrained Sequential Pattern
Mining for Extracting Semantic Events
in Videos......Page 422
21. Multiple-Sensor People Localization in an
Office Environment......Page 445
22. Multimedia Data Mining Framework
for Banner Images......Page 466
23. Analyzing User’s Behavior on a
Video Database......Page 476
24. On SVD-Free Latent Semantic Indexing
for Iris Recognition of Large Databases......Page 490
25. Mining Knowledge in Computer
Tomography Image Databases......Page 505
Author Index......Page 527
