About this document
City vs. Landscape Image Classification by Siva Sreeramdas is a document available to read on EtoBox.
This document discusses classifying images into the categories of city vs landscape scenes using low-level visual features. The authors conducted an experiment where human subjects grouped images into meaningful clusters, identifying city and landscape as two primary categories. They focus on classifying images into these two classes using discriminative low-level features. Their classification system achieved 93.9% accuracy on a database of 2,716 images using leave-one-out evaluation. The authors believe s
- Author
- Siva Sreeramdas
- Language
- EN