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Junfeng He, Tai-Hsu Lin, Jinyuan Feng, Shih-Fu Chang. Mobile product search with bag of hash bits. In Proceeding of ACM International Conference on Multimedia (ACM MM), demo paper, 2011.

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The advent of smart phones has provided an excellent platform for mobile visual search. Most of previous mobile visual search systems adopt the framework of ``bag of words'',in which words indicate quantized codes of visual features. In this work, we propose a novel mobile visual search system based on ``bag of hash bits''. Using new ideas for hash bit selection, multi-hash table generation, and hamming-distance soft scoring, we overcome the problem of bit ineffciency affecting the traditional hashing approaches, and achieve promising accuracy outperforming state of the art. The framework is also general in that general feature type can be used for generating the hash bits. Demos and experiments over a large scale product image set demonstrate the effectiveness of our approach


Junfeng He
Jie Feng
Shih-Fu Chang

BibTex Reference

   Author = {He, Junfeng and Lin, Tai-Hsu and Feng, Jinyuan and Chang, Shih-Fu},
   Title = {Mobile product search with bag of hash bits},
   BookTitle = {Proceeding of ACM International Conference on Multimedia (ACM MM), demo paper},
   Year = {2011}

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