DocumentCode
152429
Title
Image community detection
Author
Esen, Ersin ; Ozkan, Savas ; Atil, I. ; Arabaci, M.A. ; Tankiz, Seda
Author_Institution
TUBITAK UZAY, Ankara, Turkey
fYear
2014
fDate
23-25 April 2014
Firstpage
738
Lastpage
741
Abstract
In this work, we propose a new method which can detect image communities inside an image set. The proposed method differs from previous works by representing image relations with directed graphs and performing community analysis on these directed graphs. By analyzing resulting image communities, we can observe the robustness of the proposed method against image deformations (e.g. cutting, text overlay, color changes). The proposed method can be applied to text-based image search results to achieve content-based image search. We believe that the proposed method can be successfully used to bridge the gap between available text-based methods and content-based image search.
Keywords
content-based retrieval; directed graphs; image classification; image retrieval; color changes; community analysis; content-based image search; directed graphs; image community detection; image deformations; image set; text overlay; text-based image search; Communities; Computer vision; Conferences; Pattern analysis; Signal processing; Transmission line matrix methods; community detection; content-based; directed graph anaysis; image search;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing and Communications Applications Conference (SIU), 2014 22nd
Conference_Location
Trabzon
Type
conf
DOI
10.1109/SIU.2014.6830335
Filename
6830335
Link To Document