声明
Abstract
Table of contents
Chapter 1 Introduction
1．1 Research Background and Significance
1．2 Research Status
1．2．1 Research on Content-Based Image Retrieval Technology
1．2．2 Research on Content-Based Commodity Retrieval Technology
1．3 Research Content of This Paper
Chapter 2 Research on The Theoretical Framework of Multi-Features Fusion Dimensionality
2．1 Research Motivations
2．2 Retrieval Method Framework Based on A Single Feature
2．2．1 Feature Selection
2．2．2 Feature Vector Generation
2．2．3 Similarity Comparison
2．3．1 Framework Design
2．3．2 Fusion Rule
2．3．3 Self-Feedback Dynamic Weight Calculation Method
2．4 Multi-Feature Fusion Framework Design At Feature Vector Level
2．4．1 Framework Design
2．4．2 Fusion Rule
2．4．3 Linear Fusion
2．4．4 Nonlinear Fusion
2．4．5 Canonical Correlation Analysis
2．4．6 Framework Design
2．5 Visual Characteristics
2．5．1 Color Histogram Features
2．5．2Texture Related Features
2．5．3 Typical Measure
2．6 Design Of Evaluation Framework for Search Methods Based on Analytic Hierarchy Process
Chapter 3 Research on Maintaining CCA Based on Multi-core Sparse Features in Multi-feature Fusion
3．1 Research Motivations
3．2 Research on Maintaining CCA Based on Multi-core Sparse Features in Multi-feature Fusion
3．2．1 Color Feature Extraction
3．2．2 Texture Feature Detection
3．2．3 Feature Fusion Strategy
3．3 Search Performance Evaluation Test
3．3．1 Experimental Data Set
3．3．2 Experimental Result
3．3．3 Performance Evaluation
Chapter 4 CBIR Method Based on Feature Reduction of Space Frequency Domain
4．1 Research Motivations
4．2 Multi-feature fusion based on tree wavelet decomposi-tion
4．2．1 Gabor Wavelet
4．2．2 Multiresohtion Analysis
4．2．3 Two-dimensional Discrete wavelet Transform
4．2．4 Improvement of Extraction Method Based on Wavelet Transform
4．2．5 Texture Feature Extraction
4．2．6 SIFT Visual Features
4．2．7 2D-PCA
4．3 Search Performance Evaluation Test
Chapter 5CBIR System Implementation
5．1 Research Motivations
5．2 System Overall Frame Design
5．2．1 Feature Extraction Module
5．2．2 Feature Fusion Module
5．2．3 Image Query Module
参考文献
Appendix A中文摘要
