In this paper, we present a novel approach to tackle a largescale object retrieval problem, and demonstrate an object retrieval system architecture based on this method. The user supplies a query object by selecting some region of a query image, and the system returns a ranked list of images retrieved from a large corpus,which contains the same object. The experiments show that our approach outperforms other models in efficiency and accuracy.