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Intelligent Image Databases : Towards Advanced Image Retrieval :  Towards Advanced Image Retrieval - Yihong Gong

Intelligent Image Databases : Towards Advanced Image Retrieval

Towards Advanced Image Retrieval

Hardcover

Published: December 2009
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Intelligent Image Databases: Towards Advanced Image Retrieval addresses the image feature selection issue in developing content-based image retrieval systems. The book first discusses the four important issues in developing a complete content-based image retrieval system, and then demonstrates that image feature selection has significant impact on the remaining issues of system design. Next, it presents an in-depth literature survey on typical image features explored by contemporary content-based image retrieval systems for image matching and retrieval purposes. The goal of the survey is to determine the characteristics and the effectiveness of individual features, so as to establish guidelines for future development of content-based image retrieval systems. Intelligent Image Databases: Towards Advanced Image Retrieval describes the Advanced Region-Based Image Retrieval System (ARBIRS) developed by the authors for color images of real-world scenes. They have selected image regions for building ARBIRS as the literature survey suggests that prominent image regions, along with their associated features, provide a higher probability for achieving a higher level content-based image retrieval system. A major challenge in building a region-based image retrieval system is that prominent regions are rather difficult to capture in an accurate and error-free condition, particularly those in images of real-world scenes. To meet this challenge, the book proposes an integrated approach to tackle the problem via feature capturing, feature indexing, and database query. Through comprehensive system evaluation, it is demonstrated how these systematically integrated efforts work effectively to accomplish advanced image retrieval. Intelligent Image Databases: Towards Advanced Image Retrieval serves as an excellent reference and may be used as a text for advanced courses on the topic.

List of Figuresp. ix
Prefacep. xiii
Introductionp. 1
The Need for Intelligent Image Databasesp. 1
Significance of Feature Space Selectionp. 3
Towards Advanced Image Retrievalp. 5
Organization of the Bookp. 7
Survey of Contemporary Content-Based Image Retrieval Systemsp. 9
Systems Using Edge Pointsp. 9
Contour Image Extractionp. 10
Image Matchingp. 12
Summaryp. 13
Systems Using Color Histogramsp. 14
The Findit Systemp. 14
The QBIC Systemp. 16
Summaryp. 18
Systems Using Texturesp. 19
The UCSB Systemp. 20
The QBIC Systemp. 23
Summaryp. 28
Systems Using Object Regionsp. 29
Systems Using Other Featuresp. 31
The Photobookp. 32
The InfoScope Systemp. 32
The Neural Network-Based Systemp. 33
Summaryp. 34
Comparison of the Image Featuresp. 35
Indexing Structures for Image Databasesp. 37
KDB-Treep. 39
Data Queryp. 41
Insertionp. 41
Deletionp. 42
R-Treep. 43
Searchp. 44
Insertionp. 46
Deletionp. 47
Node Splittingp. 48
R*-Treep. 49
Insertionp. 50
Node Splittingp. 50
SS-Treep. 52
SR-Treep. 54
Comparisonsp. 55
Building an Advanced Region-Based Image Retrieval System (Arbirs)p. 61
The System Goalp. 61
Feature Space Selectionp. 62
The Challengesp. 63
The System Outlinep. 65
The Texture Detection Subsystemp. 69
Separating Textures From Non-Texture Regionsp. 69
Selection of the Textural Featuresp. 70
Description of the Algorithmp. 73
Examples of The Texture Detectionp. 76
The Region-Based Subsystemp. 79
Segmenting Images Under Non-Uniform Illuminationp. 80
Segmentation Using Human Perceptual Dimensionsp. 81
The Mathematical Modelp. 83
Outline of the Segmentation Methodp. 88
Segmenting Chromatic Colorsp. 90
Segmenting Achromatic Colorsp. 92
Detection of the Linear Chroma-Value Correlationp. 92
Experimental Resultsp. 97
The Indexing Schemep. 102
The Histogram-Based Subsystemp. 105
Problems of Traditional Histogramsp. 105
Color Histogram Creationp. 106
The Indexing Scheme Based on the Color Histogramp. 108
The Database Query Subsystemp. 111
Database Query by Simple Regionsp. 112
Database Query by Texture Regionsp. 113
Database Query by Compound Regionsp. 114
Computing the Shape Profile of a Compound Regionp. 115
The Search Schemep. 117
The User Interfacep. 118
Experimental Evaluations and Discussionsp. 121
Evaluationsp. 121
Discussionsp. 127
Referencesp. 129
Indexp. 133
Table of Contents provided by Syndetics. All Rights Reserved.

ISBN: 9780792380153
ISBN-10: 0792380150
Series: The Springer International Series in Engineering and Computer Science
Audience: Professional
Format: Hardcover
Language: English
Number Of Pages: 134
Published: December 2009
Publisher: Springer
Country of Publication: NL
Dimensions (cm): 23.5 x 15.5  x 1.91
Weight (kg): 0.88