Semantic mining technologies for multimedia databases

✍ Scribed by Dacheng Tao, Dacheng Tao, Dong Xu, Xuelong Li

• Publisher: Information Science Reference
• Year: 2009
• Tongue: English
• Leaves: 551
• Series: Premier Reference Source
• Category: Library

✦ Synopsis

Multimedia searching and management have become popular due to demanding applications and competition among companies. Despite the increase in interest, there is no existing book covering basic knowledge on state-of-the-art techniques within the field.

Semantic Mining Technologies for Multimedia Databases provides an introduction to the most recent techniques in multimedia semantic mining necessary to researchers new to the field. This book serves as an important reference in multimedia for academicians, multimedia technologists and researchers, and academic libraries.

✦ Table of Contents

Semantic Mining
Technologies for
Multimedia Databases......Page 2
Table of Contents......Page 4
Detailed Table of Contents......Page 8
Preface......Page 16
Video Representation and
Processing for
Multimedia Data Mining......Page 20
Image Features from
Morphological Scale-Spaces......Page 51
Face Recognition and
Semantic Features......Page 99
Shape Matching for Foliage
Database Retrieval......Page 119
Similarity Learning for
Motion Estimation......Page 149
Active Learning for Relevance
Feedback in Image Retrieval......Page 171
Visual Data Mining Based on
Partial Similarity Concepts......Page 185
Image/Video Semantic Analysis
by Semi-Supervised Learning......Page 202
Content-Based Video
Semantic Analysis......Page 230
Applications of Semantic
Mining on Biological
Process Engineering......Page 255
Intuitive Image Database
Navigation by
Hue-Sphere Browsing......Page 282
Formal Models and
Hybrid Approaches for
Efficient Manual Image
Annotation and Retrieval......Page 291
Active Video Annotation:
To Minimize Human Effort......Page 317
Annotating Images by
Mining Image Search......Page 342
Semantic Classification and
Annotation of Images......Page 369
Association-Based Image
Retrieval......Page 398
Compressed-Domain Image
Retrieval Based on
Colour Visual Patterns......Page 426
Resource Discovery Using
Mobile Agents......Page 438
Multimedia Data Indexing......Page 468
Compilation of References......Page 495
About the Contributors......Page 533
Index......Page 542