Bag of Visual Words for Image Classification and Retrieval
Offered By: James Briggs via YouTube
Course Description
Overview
Learn about the bag of visual words (BoVW) model, a pre-deep learning technique used in computer vision for creating image embeddings. Explore how this method enables image retrieval from databases, object detection, and image classification. Discover the practical applications of BoVW in building similarity-based image search systems and understanding its role in the evolution of computer vision techniques.
Syllabus
Bag of *Visual* Words for Image Classification and Retrieval
Taught by
James Briggs
Related Courses
Introduction to Artificial IntelligenceStanford University via Udacity Natural Language Processing
Columbia University via Coursera Probabilistic Graphical Models 1: Representation
Stanford University via Coursera Computer Vision: The Fundamentals
University of California, Berkeley via Coursera Learning from Data (Introductory Machine Learning course)
California Institute of Technology via Independent