Title :
Visual image search improved with geometric consistency
Author :
Ozkan, Savas ; Esen, Ersin ; Akar, Gozde Bozdagi
Author_Institution :
Goruntu Isleme Grubu, TUBITAK Uzay Teknolojileri Arastirma Enstitusu, Ankara, Turkey
Abstract :
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.
Keywords :
image retrieval; visual databases; BoW; Hamming embedding methods; Oxford dataset; Paris dataset; VLAD; binary signature; geometric consistency information; image retrieval systems; visual image search; Art; Computer vision; Conferences; Europe; Histograms; Image retrieval; Pattern recognition; geometric consistency; image retrieval;
Conference_Titel :
Signal Processing and Communications Applications Conference (SIU), 2013 21st
Conference_Location :
Haspolat
Print_ISBN :
978-1-4673-5562-9
Electronic_ISBN :
978-1-4673-5561-2
DOI :
10.1109/SIU.2013.6531343
