An Intelligent Web Image Retrieval System

Abstract

Web sites, especially those associated with e-commerce and shopping malls, now handle massive amounts of visual data. Common
methods for retrieving images from various sources include using image database engines or online search engines, both
of which have their limitations due to their reliance on color-based retrievals or keyword-only retrievals. The article introduces a
smart technique for retrieving images from the web. Methods for classifying and indexing images based on texture and color are
among our proposed system design features, as are representation approaches for user use patterns. You may specify your query
in a number of ways, including by entering keywords, choosing a sample texture pattern, giving values to colors in positional
color blocks, or using a mix of these. User query logs are generated by the system to keep track of user preferences. Subsequent
user searches are automatically enhanced with additional search information. Certain experimental findings demonstrating accuracy
and memory are also detailed to demonstrate the value of the suggested method.