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In this paper, we propose a parallel similarity search strategy based on the dimensions value cardinalities, an inherit characteristic of image descriptor vectors. Our strategy has low preprocessing requirements by dividing the computational cost of the preprocessing steps into several machines and locating the descriptors with similar dimensions value cardinalities logically close. Additionally, an efficient parallel query processing algorithm is proposed, where the dimensions of imagedoi:10.1145/2695664.2695857 dblp:conf/sac/RafailidisM15 fatcat:atbqtuvmzbdybd4z54qsxen5ka