ViRaL is a content-based image search engine. It does not only retrieve visually similar images, but also identifies where a photo is taken, suggests tags and recognizes landmarks and points of interest. Its dataset consisting of more than 2 Million Flickr images from 40 cities around the world. The query may be uploaded, fetched from a given a URL, or chosen from the dataset. Try it online directly: http://viral.image.ntua.gr/

The goal of this tool is to demonstrate the integration of several low- to high-level analysis algorithms toward semantic indexing of images. Different modules created by several research groups have been included and results are presented graphically in a unified way.