We demonstrate a system that we have built on our proposed perception-based
image retrieval (PBIR) paradigm. This PBIR system achieves accurate simila
rity measurements by rooting image characterization in human perception and
by learning user's query concept through an intelligent sampling process.
We show that our system can usually grasp a user's query concept with a sma
ll number of labeled instances.