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Content-based Image Retrieval Methods and Key Technologie 版權信息
- ISBN：9787550930902
- 條形碼：9787550930902 ; 978-7-5509-3090-2
- 裝幀：一般膠版紙
- 冊數：暫無
- 重量：暫無
- 所屬分類：>
Content-based Image Retrieval Methods and Key Technologie 內容簡介
The book is mainly written with image retrieval technology as the research object, inorder to provide technical reference for relevant researchers, students and instructors.The book is divided into seven chapters, mainly including key technologies of contentbased image retrieval, image retrieval based on color features, image retrieval based ontexture features, high-dimensional image retrieval technology and evaluation indexes ofimage retrieval system, such as similarity measurement and performance evaluation. The book can be read by professionals engaged in computer image processing or multimediatechnology, and can be used by teachers and students engaged in computer graphics and image processing in Colleges and universities.
Content-based Image Retrieval Methods and Key Technologie 目錄
Preface
Chapter1 Introduction of Content-based Image Retrieval (1)
1． 1 Development and Current Status of Image Retrieval (1)
1． 2 Research Status at Home and Abroad (8)
1． 3 CBIR Technology (11)
1． 4 Introduction of Classic CBIR System (12)
1． 5 Organization of the Book (17)
References (18)
Chapter 2 Key Techniques of Content-based Image Retrieval (23)
2． 1 Basic Principles of CBIR Retrieval (23)
2． 2 Image Content (24)
2． 3 Matching Technology in Image Retrieval (30)
2． 4 Performance Evaluation Criteria of Image Retrieval System (38)
References (41)
Chapter 3 Color-based Image Retrieval (43)
3． 1 Color Space (43)
3． 2 Color Quantization (51)
3． 3 Global Color Feature (55)
3． 4 Color Space Feature (69)
3． 5 Color Spatial Distribution Entropy (74)
3． 6 Distribution Entropy Plane (77)
3． 7 Improved Bit-plane Entropy Distribution (83)
References (88)
Chapter 4 Texture Feature-based Image Retrieval (92)
4． 1 Texture Feature (92)
4． 2 Perceptual Model of Texture (95)
4． 3 Statistical Model of Texture (99)
4． 4 Structural Model of Texture (107)
Content ?? 1??
4． 5 Transform Model of Texture (110)
4． 6 MPEG-7 Texture Descriptors (113)
References (114)
Chapter 5 High-dimensional Indexing Technology (117)
5． 1 High-dimensional Indexing Technology (117)
5． 2 High-dimensional Properties in Vector Space (119)
5． 3 Dimensional Catastrophic Phenomena (121)
5． 4 Vector Approximation Method Based on Vector Quantization (125)
5． 5 High-dimensional Index Method Based on SVD on Quadratic Distance (142)
5． 6 Multi-resolution and High-dimensional Indexing Methods (145)
5． 7 Application of Vector Approximation Method in Correlation Feedback Technique (151)
5． 8 Evaluation Criteria for High-dimensional Index Technology (158)
References (160)
Chapter 6 Similarity Measures and Performance Evaluation (164)
6． 1 Similarity Measures (164)
6． 2 User Comparison (178)
6． 3 Precision and Recall (178)
6． 4 Precision-recall Graph (179)
6． 5 Average Precision (180)
6． 6 F-Score (181)
6． 7 Average Normalized Modified Retrieval Rank(ANMRR) (182)
References (183)
Chapter1 Introduction of Content-based Image Retrieval (1)
1． 1 Development and Current Status of Image Retrieval (1)
1． 2 Research Status at Home and Abroad (8)
1． 3 CBIR Technology (11)
1． 4 Introduction of Classic CBIR System (12)
1． 5 Organization of the Book (17)
References (18)
Chapter 2 Key Techniques of Content-based Image Retrieval (23)
2． 1 Basic Principles of CBIR Retrieval (23)
2． 2 Image Content (24)
2． 3 Matching Technology in Image Retrieval (30)
2． 4 Performance Evaluation Criteria of Image Retrieval System (38)
References (41)
Chapter 3 Color-based Image Retrieval (43)
3． 1 Color Space (43)
3． 2 Color Quantization (51)
3． 3 Global Color Feature (55)
3． 4 Color Space Feature (69)
3． 5 Color Spatial Distribution Entropy (74)
3． 6 Distribution Entropy Plane (77)
3． 7 Improved Bit-plane Entropy Distribution (83)
References (88)
Chapter 4 Texture Feature-based Image Retrieval (92)
4． 1 Texture Feature (92)
4． 2 Perceptual Model of Texture (95)
4． 3 Statistical Model of Texture (99)
4． 4 Structural Model of Texture (107)
Content ?? 1??
4． 5 Transform Model of Texture (110)
4． 6 MPEG-7 Texture Descriptors (113)
References (114)
Chapter 5 High-dimensional Indexing Technology (117)
5． 1 High-dimensional Indexing Technology (117)
5． 2 High-dimensional Properties in Vector Space (119)
5． 3 Dimensional Catastrophic Phenomena (121)
5． 4 Vector Approximation Method Based on Vector Quantization (125)
5． 5 High-dimensional Index Method Based on SVD on Quadratic Distance (142)
5． 6 Multi-resolution and High-dimensional Indexing Methods (145)
5． 7 Application of Vector Approximation Method in Correlation Feedback Technique (151)
5． 8 Evaluation Criteria for High-dimensional Index Technology (158)
References (160)
Chapter 6 Similarity Measures and Performance Evaluation (164)
6． 1 Similarity Measures (164)
6． 2 User Comparison (178)
6． 3 Precision and Recall (178)
6． 4 Precision-recall Graph (179)
6． 5 Average Precision (180)
6． 6 F-Score (181)
6． 7 Average Normalized Modified Retrieval Rank(ANMRR) (182)
References (183)
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