Visual pattern discovery and recognition
This book presents a systematic study of visual pattern discovery, from unsupervised to semi-supervised manner approaches, and from dealing with a single feature to multiple types of features. Furthermore, it discusses the potential applications of discovering visual patterns for visual data analytics, including visual search, object and scene recognition. It is intended as a reference book for advanced undergraduates or postgraduate students who are interested in visual data analytics, enablin…
Read More ↓Title Statements
- Full title :Visual pattern discovery and recognition / Hongxing Wang, Chaoqun Weng, Junsong Yuan.
Summary
This book presents a systematic study of visual pattern discovery, from unsupervised to semi-supervised manner approaches, and from dealing with a single feature to multiple types of features. Furthermore, it discusses the potential applications of discovering visual patterns for visual data analytics, including visual search, object and scene recognition. It is intended as a reference book for advanced undergraduates or postgraduate students who are interested in visual data analytics, enabling them to quickly access the research world and acquire a systematic methodology rather than a few isolated techniques to analyze visual data with large variations. It is also inspiring for researchers working in computer vision and pattern recognition fields. Basic knowledge of linear algebra, computer vision and pattern recognition would be helpful to readers.
Read More ↓Edition Statements
- Publication Date:©2017
Publication Statements
- Publisher(s):Springer
- Place of Publication:Singapore
- Language:eng
- Publication Date:©2017
The Physical Object
- Description:1 online resource : : color illustrations
Edition Identifiers
- ISBN:9789811048401, 9811048401, 9811048398, 9789811048395
- DOI:10.1007/978-981-10-4840-1
- oclc:ocn990267777
- LC Classification:TK7882.P3
- Dewey Decimal:006.3
Table of Contents
Preface; Acknowledgements; Contents; 1 Introduction; 1.1 Overview; 1.2 Discovering Spatial Co-occurrence Patterns; 1.3 Discovering Feature Co-occurrence Patterns; 1.4 Outline of the Book; References; 2 Context-Aware Discovery of Visual Co-occurrence Patterns; 2.1 Introduction; 2.2 Multi-context-aware Clustering; 2.2.1 Regularized k-means Formulation with Multiple Contexts; 2.2.2 Self-learning Optimization; 2.3 Experiments; 2.3.1 Spatial Visual Pattern Discovery; 2.3.2 Image Region Clustering Using Multiple Contexts; 2.4 Summary of this Chapter; References.
3 Hierarchical Sparse Coding for Visual Co-occurrence Discovery3.1 Introduction; 3.2 Spatial Context-Aware Multi-feature Sparse Coding; 3.2.1 Learning Spatial Context-Aware Visual Phrases; 3.2.2 Learning Multi-feature Fused Visual Phrases; 3.3 Experiments; 3.3.1 Spatial Visual Pattern Discovery; 3.3.2 Scene Clustering; 3.3.3 Scene Categorization; 3.4 Summary of this Chapter; References; 4 Feature Co-occurrence for Visual Labeling; 4.1 Introduction; 4.2 Multi-feature Collaboration for Transductive Learning; 4.2.1 Spectral Embedding of Multi-feature Data.
4.2.2 Embedding Co-occurrence for Data Representation4.2.3 Transductive Le…
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