Visual image search improved with geometric consistency

In this work, BoW, VLAD, and Hamming Embedding(HE) methods are examined that are used in image retrieval systems. Also shows that results can be improved using geometric consistency with binary signature obtained from Hamming Embedding. Oxford and Paris dataset are used for tests and obtained test results are comparatively examined over average precision rate. From results, observed that by adding geometric consistency information using binary signatures makes improvement on performance.

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