The CoPhIR (Content-based Photo Image Retrieval) Test-Collection has been developed to make significant tests on the scalability of the SAPIR project infrastructure (SAPIR: Search In Audio Visual Content Using Peer-to-peer IR) for similarity search.

CoPhIR is now available to the research community to try and compare different indexing technologies for similarity search, with scalability being the key issue.

The organizations (universities, research labs, etc.) interested in building experimentations on it should sign the enclosed CoPhIR Access Agreement and the CoPhIR Access Registration Form, sending the original signed documents to us by mail. Please follow the instruction in the section “How to get CoPhIR Test Collection”. You will then receive Login and Password to download the required files.

CoPhIR brochure

About citing CoPhIR

We kindly ask you to refer the following papers in any publication mentioning CoPhIR:

• Paolo Bolettieri, Andrea Esuli, Fabrizio Falchi, Claudio Lucchese, Raffaele Perego, Tommaso Piccioli, Fausto Rabitti, CoPhIR: a Test Collection for Content-Based Image Retrieval. CoRR abs/0905.4627, 2009

• Paolo Bolettieri, Andrea Esuli, Fabrizio Falchi, Claudio Lucchese, Raffaele Perego, and Fausto Rabitti, Enabling Content-Based Image Retrieval in Very Large Digital Libraries. Proceeding of the Second Workshop on Very Large Digital Libraries, DELOS: an Association for Digital Libraries, 2009
  

Thank you in advance.