The ImageTerrier Image Retrieval Platform

Welcome to the home of ImageTerrier, the terabyte retriever for images.

ImageTerrier is an open-source, scalable, high-performance search engine platform for content-based image retrieval applications. The ImageTerrier platform provides a comprehensive test-bed for experimenting with image retrieval techniques. The platform incorporates a state-of-the-art implementation of the single-pass indexing technique for constructing inverted indexes and is capable of producing highly compressed index data structures. ImageTerrier is written as an extension to the open-source Terrier test-bed platform for textual information retrieval research.

ImageTerrier is available as a modular set of Jars and the source is also available (under the terms of the Mozilla Public License). For more information about installing the source code, integrating the jars with your java project or using the command line tools please consult the wiki. ImageTerrier's sister project OpenIMAJ provides numerous implementations of image features that can be indexed using ImageTerrier.

For more information and details please contact Jonathon Hare, Sina Samangooei or David Dupplaw in Electronics and Computer Science at the University of Southampton.

The development of ImageTerrier was graciously funded by The European Union Seventh Framework projects (FP7/2007-2013) LivingKnowledge (grant agreement no 231126) and ARCOMEM (grant agreement no 270239), and by The Autonomous Province of Trento (Italy), under the Livememories project.