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 paper 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)
Bibtex:
@ARTICLE{CoPhIR,
title = {{C}o{P}h{I}{R}: a Test Collection for Content-Based Image Retrieval},
author = {Paolo Bolettieri and Andrea Esuli and
Fabrizio Falchi and Claudio Lucchese and Raffaele Perego and Tommaso
Piccioli and Fausto Rabitti},
journal = {{C}o{R}{R}},
volume = {abs/0905.4627v2},
year = {2009},
ee = {http://arxiv.org/abs/0905.4627v2},
url = {http://cophir.isti.cnr.it}
}
The paper can be found at:
http://arxiv.org/abs/0905.4627v2
Thank you in advance.