• DocumentCode
    1282830
  • Title

    Exploiting the JPEG compression scheme for image retrieval

  • Author

    Shneier, Michael ; Abdel-Mottaleb, Mohamed

  • Author_Institution
    Office of Naval Res., Arlington, VA, USA
  • Volume
    18
  • Issue
    8
  • fYear
    1996
  • fDate
    8/1/1996 12:00:00 AM
  • Firstpage
    849
  • Lastpage
    853
  • Abstract
    We address the problem of retrieving images from a large database using an image as a query. The method is specifically aimed at databases that store images in JPEG format, and works in the compressed domain to create index keys. A key is generated for each image in the database and is matched with the key generated for the query image. The keys are independent of the size of the image. Images that have similar keys are assumed to be similar, but there is no semantic meaning to the similarity
  • Keywords
    data compression; image coding; very large databases; visual databases; JPEG compression scheme; image retrieval; index keys; large database; query image; Discrete cosine transforms; Image coding; Image databases; Image generation; Image retrieval; Indexes; Information retrieval; Layout; Multimedia computing; Transform coding;
  • fLanguage
    English
  • Journal_Title
    Pattern Analysis and Machine Intelligence, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0162-8828
  • Type

    jour

  • DOI
    10.1109/34.531805
  • Filename
    531805