• 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