Image classification using neural networks and ontologies

Abstract

The advent of extremely powerful home PC and the growth of the Internet have made the appearance of multimedia documents a common sight in the computer world. In the world of unstructured data composed of images and other media types, classification often comes at the price of countless hours of manual labor. This research aims to present a scalable system capable of examining images and accurately classifying the image based on its visual content. When retrieving images based on a user's query, the system yields a minimal amount of irrelevant information (high precision) and ensures a maximum amount of relevant information (high recall).