DocumentCode
607682
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
fYear
2013
fDate
24-26 April 2013
Firstpage
1
Lastpage
4
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/SIU.2013.6531343
Filename
6531343
Link To Document