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Hash-based nearest neighbor search has become attractive in many applications. However, the quantization in hashing usually degenerates the discriminative power when using Hamming distance ranking. Besides, for large-scale visual search, existing hashing methods cannot directly support the efficient search over the data with multiple sources, and while the literature has shown that adaptively incorporating...
Rapidly growing applications on smartphones have provided an excellent platform for mobile visual search. Most of previous 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 visual search system based on ”Bag of Hash Bits” (BoHB), in which each local feature is encoded to a very small number of hash...
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