• DocumentCode
    3324985
  • Title

    Tag similarity for Flickr

  • Author

    Tungkasthan, Anucha ; Intarasema, Sarayut ; Premchaiswadi, Wichian

  • Author_Institution
    Grad. Sch. of Inf. Technol. in Bus., Siam Univ., Bangkok, Thailand
  • fYear
    2012
  • fDate
    12-13 Jan. 2012
  • Firstpage
    187
  • Lastpage
    191
  • Abstract
    This paper presents the image retrieval results obtained by the Flickr website based on using the combination of keywords and tags for retrieving images. The aim of this paper is to improve the accuracy of the image search results returned by an image search engine, Flickr. In order to improve the retrieval performance of images, sixty keywords in various categories are used for testing based on the Flickr image database. The results show that the proposed system returned more accurate results than the results obtained from an existing Flickr system.
  • Keywords
    Web sites; image retrieval; search engines; visual databases; Flickr Website; Flickr image database; image retrieval; image search engine; tag similarity; Google; Image color analysis; Image retrieval; Indexing; Instruction sets; Search engines; Visualization; ACC; ACCC; CBIR Systems; Feature Extraction; Image Retrieval;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    ICT and Knowledge Engineering (ICT & Knowledge Engineering), 2011 9th International Conference on
  • Conference_Location
    Bangkok
  • Print_ISBN
    978-1-4577-2161-8
  • Type

    conf

  • DOI
    10.1109/ICTKE.2012.6152404
  • Filename
    6152404