Semantic Mining Technologies for Multimedia Databases, 1st Edition

  • Published By:
  • ISBN-10: 1605661899
  • ISBN-13: 9781605661896
  • Grade Level Range: College Freshman - College Senior
  • 532 Pages | eBook
  • Original Copyright 2009 | Published/Released July 2009
  • This publication's content originally published in print form: 2009

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About

Overview

Provides an introduction to recent techniques in multimedia semantic mining necessary to researchers new to the field; an important reference in multimedia for academicians, multimedia technologists and researchers, and academic libraries.

Table of Contents

Front Cover.
Title Page.
Copyright Page.
Table of Contents.
Detailed Table of Contents.
Preface.
1: Multimedia Information Representation.
2: Video Representation and Processing for Multimedia Data Mining.
3: Image Features from Morphological Scale-Spaces.
4: Face Recognition and Semantic Features.
5: Learning in Multimedia Information Organization.
6: Shape Matching for Foliage Database Retrieval.
7: Similarity Learning for Motion Estimation.
8: Active Learning for Relevance Feedback in Image Retrieval.
9: Visual Data Mining Based on Partial Similarity Concepts.
10: Semantic Analysis.
11: Image/Video Semantic Analysis by Semi-Supervised Learning.
12: Content-Based Video Semantic Analysis.
13: Applications of Semantic Mining on Biological Process Engineering.
14: Intuitive Image Database Navigation by Hue-Sphere Browsing.
15: Multimedia Resource Annotation.
16: Formal Models and Hybrid Approaches for Efficient Manual Image Annotation and Retrieval.
17: Active Video Annotation: To Minimize Human Effort.
18: Annotating Images by Mining Image Search.
19: Semantic Classification and Annotation of Images.
20: Other Topics Related to Semantic Mining.
21: Association-Based Image Retrieval.
22: Compressed-Domain Image Retrieval Based on Colour Visual Patterns.
23: Resource Discovery Using Mobile Agents.
24: Multimedia Data Indexing.
Compilation of References.
About the Contributors.
Index.