Visual Information Retrieval

This document provides an overview of visual information retrieval and content-based image retrieval. It discusses the motivation for these topics due to the large number of digital images and videos now available. Various low-level image features that can be extracted for content-based image retrieval are described, including color histograms, dominant colors, color distribution, and color correlograms. The benefits and disadvantages of different features are also outlined. The goal is to reduce images to feature vectors for efficient similarity comparison and retrieval.