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Parallel Traversal of Signature Trees for Fast CBIR


Aaron Davidson, John Anvik, and Mario A. Nascimento

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Abstract

This paper presents a technique for searching a memory-resident. signature tree (S-tree) in a parallel fashion. Our implementation uses a very compact binary signature for the images' global colour histogram thus allowing the use of main-memory to store and search a reasonably sized image collection. Our results show that our parallel search of an S-tree is able to achieve good speedups; for instance, a 50,000 signature S-tree with a branching factor of 8 searched using 4 processors is 3 times faster than using a single processor.


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