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Rank Preserving Hashing for Rapid Image Search
2015
2015 Data Compression Conference
In recent years, hashing techniques are becoming overwhelmingly popular for their high efficiency in handling large-scale computer vision applications. It has been shown that hashing techniques which leverage supervised information can significantly enhance performance, and thus greatly benefit visual search tasks. Typically, a modern hashing method uses a set of hash functions to compress data samples into compact binary codes. However, few methods have developed hash functions to optimize the
doi:10.1109/dcc.2015.85
dblp:conf/dcc/SongLMTJ15
fatcat:wu5roracw5bpdgtc72rvduennm