Binary feature-based image retrieval with effective indexing and scoring

In this paper, we propose a stand-alone mobile visual search system based on binary features and bag of visual words framework. The contribution of this paper is two-fold: (1) a visual word-dependent substring extraction method is proposed; (2) a modified version of the local NBNN scoring method is proposed in the context of image retrieval. The proposed system improves retrieval accuracy by 11% compared with a conventional method without increasing the database size.