内容简介: 本书针对基于高层语义的图像检索的关键技术环节进行了介绍和论述。主要内容:(1)基于语义的图像检索技术的研究背景,以及图像特征提取,图像相似度度量,图像语义学习等各关键环节经典和现有算法的综述介绍;(2)基于作者提出的一个基于区域的语义图像检索算法,阐述了如何实现基于语义的图像检索,如何提取有效的图像数字特征,如何从图像数字特征提取图像语义,(3)将将所提出的基于语义的图像检索算法用于网络图像检索的改进,描述了其应用价值。 目录: Preface List of Abbreviations Chapter 1 Introduction 1.1 Background 1.1.1 The 'Semantic Gap 1.1.2 Query by Keywords 1.2 Objectives 1.3 Contributions of this Book 1.3.1 Identifying Existing Semantic Learning Techniques 1.3.2 Designing Effective Feature Extraction Methods for Arbitrary-Shaped Regions" 1.3.3 High-Level Concept Learning Using Decision Tree 1.3.4 Applying RBIR with Semantics to Web Image Search 1.4 Organization of the Book Chapter 2 Key Techniques in Semantic-Based Image Retrieval 2.1 Introduction 2.2 Techniques and Issues in Region-Based Image Retrieval 2.2.1 Image Segmentation 2.2.2 Low-Level Image Feature Extraction 2.2.3 Similarity Measure 2.2.4 Test Database an ...
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