Performance analysis of Bag-of-Features based content identification systems

S. Voloshynovskiy, M. Diephuis, T. Holotyak
2014 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)  
Many state-of-the-art methods in image retrieval, classification and copy detection are based on the Bag-of-Features (BOF) framework. However, the performance of these systems is mostly experimentally evaluated and little results are reported on theoretical performance. In this paper, we present a statistical framework that makes it possible to analyse the performance of a simple BOF-system and to better understand the impact of different design elements such as the robustness of descriptors,
more » ... s of descriptors, the accuracy of encoding/assignment, information preserving pooling and finally decision making. The proposed framework can be also of interest for a security and privacy analysis of BOF systems.
doi:10.1109/icassp.2014.6854312 dblp:conf/icassp/VoloshynovskiyDH14 fatcat:lgdom2rornaqzbbvcwyzbgitmy