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Semantic Mining Technologies for Multimedia Databases

 

 

Semantic Mining Technologies for Multimedia Databases

by Dacheng Tao, Dong Xu and Xuelong Li 

2009 (550 pages)

ISBN:9781605661889

An important reference for academicians, multimedia technologists and researchers, and academic libraries, this guide provides an introduction to the most recent techniques in multimedia semantic mining necessary to those new to the field.

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Semantic Mining Technologies for Multimedia Databases

 

Preface

Section I - Multimedia Information Representation

Chapter I

-

Video Representation and Processing for Multimedia Data Mining

Chapter II

-

Image Features from Morphological Scale-Spaces

Chapter III

-

Face Recognition and Semantic Features

Section II - Learning in Multimedia Information Organization

Chapter IV

-

Shape Matching for Foliage Database Retrieval

Chapter V

-

Similarity Learning for Motion Estimation

Chapter VI

-

Active Learning for Relevance Feedback in Image Retrieval

Chapter VII

-

Visual Data Mining Based on Partial Similarity Concepts

Section III - Semantic Analysis

Chapter VIII

-

Image/Video Semantic Analysis by Semi-Supervised Learning

Chapter IX

-

Content-Based Video Semantic Analysis

Chapter X

-

Applications of Semantic Mining on Biological Process Engineering

Chapter XI

-

Intuitive Image Database Navigation by Hue-Sphere Browsing

Section IV - Multimedia Resource Annotation

Chapter XII

-

Formal Models and Hybrid Approaches for Efficient Manual Image Annotation and Retrieval

Chapter XIII

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Active Video Annotation—To Minimize Human Effort

Chapter XIV

-

Annotating Images by Mining Image Search

Chapter XV

-

Semantic Classification and Annotation of Images

Section V - Other Topics Related to Semantic Mining

Chapter XVI

-

Association-Based Image Retrieval

Chapter XVII

-

Compressed-Domain Image Retrieval Based on Colour Visual Patterns

Chapter XVIII

-

Resource Discovery Using Mobile Agents

Chapter XIX

-

Multimedia Data Indexing

Compilation of References