《Semantic-Based Image Retrieval（基於語義的圖像檢索）》是2016年科學出版社出版的圖書，作者是劉穎。
基本介紹
- 中文名：Semantic-Based Image Retrieval（基於語義的圖像檢索）
- 作者：劉穎
- 類別：計算機科學技術
- 出版社：科學出版社
- 出版時間：2016年1月
- ISBN：9787030494900
內容簡介,圖書目錄,
內容簡介
In an attempt to improve the performance of traditional content-based image retrieval (CBIR) systems, research effort is needed not only to find salient low-level image features to represent images, but also to reduce the 'semantic gap' between low-level image features and high-level human semantics. Such systems with high level semantics not only improve the accuracy in image retrieval but also support query-by-keywords which is more convenient for users.
圖書目錄
Preface
List of Abbreviations
Chapter 1 Introduction
Chapter 2 Key Techniques in Semantic-Based Image Retrieval
Chapter 3 Deriving Image Semantics from Color Features
Chapter 4 Effective Texture Feature Extraction from Arbitrary-Shaped Regions
Chapter 5 Deriving High-Level Image Concepts Using Decision Tree Learning
Chapter 6 Application of Semantic-Based RBIR to Web Image Search
Chapter 7 Conclusions and Future Work
Bibliography
Appendix A HSV Color Histogram and HSV-RGB Conversion
Appendix B Tamura Texture eatures
Appendix C Illustration of POCS-ER Process Using ZR and MP
Appendix D Pre-pruning &Post-pruning in DT-ST
