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, "Terabyte Retriever", test-bed platform for textual information retrieval research.
The ImageTerrier platform has been used to successfully index and search a corpus of over 10 million images containing just under 10,000,000,000 quantised SIFT visual terms extracted using the OpenIMAJ toolkit.