Image Retrieval and Classification Techniques

Image Retrieval and Classification Techniques is a research topic within Computer Vision and Pattern Recognition. Science Explorer counts 49k research works in it since 1956. 9.9% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on shape matching, object recognition, and content-based image retrieval using techniques such as local binary patterns, feature descriptors, and rotation-invariant methods. It also explores the application of these methods in medical imaging, semantic relevance modeling, and machine learning for image annotation.

• Shape Matching
• Content-Based Image Retrieval
• Texture Classification
• Local Binary Patterns
• Feature Descriptors
• Semantic Relevance
• Rotation Invariant
• Medical Applications
• Machine Learning
• Image Annotation