A new multi-scale fuzzy model for Histogram-Based Descriptors

Lunshao Chai, Zhen Qin, Honggang Zhang, Jun Guo, Bir Bhanu
2013 2013 IEEE International Conference on Multimedia and Expo Workshops (ICMEW)  
In this paper, we first propose a general Multi-Scale Fuzzy Model (MSFM) which handles distortions at different scales in Histogram-Based Descriptors(HBDs). This model can be applied both on one-dimensional HBDs and multidimensional HBDs. We then focus on applying MSFM on the widely used Shape Context for a Simplified Multi-scale Fuzzy Shape Context (SMFSC) descriptor. Fuzzy models are barely used in multi-dimensional HBDs due to the significant increase of computational complexity. We show
more » ... lexity. We show that by introducing an intra-bin point location approximation and an approximate iterative fuzzification approach, the algorithm can be simplified and thus SMFSC hardly increases computational complexity. Experiments on standard shape dataset show that SMFSC improves upon the Inner Distance Shape Context. We also applied SMFSC on Content-Based Product Image Retrieval and the experimental results further validate the effectiveness of our model. Index Termshistogram-based descriptors, multi-scale fuzzy model, simplified multi-scale fuzzy shape context
doi:10.1109/icmew.2013.6618383 dblp:conf/icmcs/ChaiQZGB13 fatcat:g4zfnvsjobernij5thodhhdq6m