• DocumentCode
    3372262
  • Title

    Fast Similarity Retrieval of Vector Images Using Representative Queries

  • Author

    Hayashi, Teruaki ; Sato, Akira

  • Author_Institution
    Inst. of Sci. & Technol., Niigata Univ., Niigata, Japan
  • fYear
    2013
  • fDate
    9-11 Dec. 2013
  • Firstpage
    498
  • Lastpage
    499
  • Abstract
    This paper presents a fast similarity retrieval method for vector images. To reduce the computational cost of similarity matching, the proposed method uses pre-calculation results of similarity matching, which are obtained in advance by matching DB images with previously selected images called representative queries. At runtime the proposed method just matches the actual query (the user-inputted query) and the representative queries. Comparing the similarities with the precalculated similarities, the proposed method quickly estimates the actual similarities of DB images to the actual query. Experimental results have shown that the retrieval time is greatly reduced by the proposed method without much deterioration of retrieval accuracy.
  • Keywords
    image matching; image retrieval; DB image matching; fast similarity retrieval; representative queries; similarity matching; vector images; Accuracy; Computational efficiency; Conferences; Educational institutions; Image retrieval; Multimedia communication; Vectors; indirect similarity evaluation; similarity retrieval; vector images;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia (ISM), 2013 IEEE International Symposium on
  • Conference_Location
    Anaheim, CA
  • Print_ISBN
    978-0-7695-5140-1
  • Type

    conf

  • DOI
    10.1109/ISM.2013.95
  • Filename
    6746847