• DocumentCode
    2215070
  • Title

    Efficient implementation of vector quantization for image retrieval

  • Author

    Teng, Shyh Wei ; Lu, Guojun

  • Author_Institution
    GSIT, Monash Univ., Clayton, Vic.
  • fYear
    0
  • fDate
    0-0 0
  • Abstract
    Vector quantization histogram (VQH) is a content-based image retrieval technique that has high retrieval effectiveness. However, as VQH´s image indexing process is highly computationally intensive, it is not ideal as an online system. We propose an efficient image encoding technique to address this issue. Our experimental results show the proposed technique greatly improves the retrieval efficiency of VQH and it also has little adverse effects on VQH´s retrieval effectiveness
  • Keywords
    content-based retrieval; image coding; image retrieval; vector quantisation; content-based image retrieval; image encoding; vector quantization histogram; Content based retrieval; Decoding; Delay; Histograms; Image coding; Image retrieval; Indexing; Information retrieval; Usability; Vector quantization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multi-Media Modelling Conference Proceedings, 2006 12th International
  • Conference_Location
    Beijing
  • Print_ISBN
    1-4244-0028-7
  • Type

    conf

  • DOI
    10.1109/MMMC.2006.1651331
  • Filename
    1651331