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• W788255342 abstract "viii ACKNOLWEDGEMENTS x ABBREVIATIONS xi CHAPTER 1 INTRODUCTION 1 1.1 Motivation 2 1.1.1 Representing Visual Content and Classifying Images 3 1.1.2 Ambiguity of Natural Language in Text Captions 4 1.1.3 Use of Hybrid Visual and Textual Metadata Models 5 1.2 Research Objectives 6 1.3 Structure of this Thesis 8 CHAPTER 2 FUNDAMENTALS 10 2.1 Main Processes for IMR 10 2.2 Content-Based Image Retrieval (CBIR) 13 2.2.1 Global Features 14 2.2.2 Local Features 15 2.3 Semantic-Based Image Retrieval (SBIR) 16 2.3.1 Knowledge (Ontology-based) Representation Techniques 18 2.3.2 Advantages of Using Ontologies for IR 21 2.4 MPEG-7 and Ontology-based KB 21 2.5 Summary 25 CHAPTER 3 SURVEY AND ANALYSIS OF THE STATE-OF-THE-ART FRAMEWORKS 26 3.1 Problem Analysis of the Image Retrieval Systems 26 3.2 Formal Requirements of Image Retrieval Systems 28 3.3 Survey of State of the Art Frameworks 29 3.3.1 Ontology-Based KB Frameworks for IMR 29 3.3.2 Visual Features-Based Frameworks for Visual Content Representation 34 3.4 Discussion 39 3.5 Summary 42" @default.
• W788255342 created "2016-06-24" @default.
• W788255342 creator A5040426688 @default.
• W788255342 date "2010-01-01" @default.
• W788255342 modified "2023-09-23" @default.
• W788255342 title "Multi modal multi-semantic image retrieval" @default.
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