Feedback-based Dynamically Weighted BoF for Image Retrieval

Yanyan Gao, Yingqian Jia, Ning Li, Li Li
2016 Proceedings of the 2016 3rd International Conference on Materials Engineering, Manufacturing Technology and Control   unpublished
Bag of Features (BoF) has been successfully exploited in content-based image retrieval for several years. Due to its performance and popularity, several extensions have been proposed that involve feature description, dictionary building, feature encoding and post-query process, etc. This paper proposes a dynamically weighting scheme for BoF-based image retrieval based on feedback. It involves two contributions: (i) analyzing the statistical distribution characteristic of similar BoF
more » ... ons and (ii) computing weights dynamically based on the feedback obtained from different initial query results. We quantitatively evaluate the proposed method on two different databases. Experiments confirm that the proposed weighting scheme has better performance than the baseline of BoF-based image retrieval systems. Meanwhile, the results demonstrate the effectiveness of the weighting scheme in terms of the precision of top-N returned images.
doi:10.2991/icmemtc-16.2016.296 fatcat:vme7qetyjvc6df2ujafwk4srtu