• DocumentCode
    661205
  • Title

    Pixel domain and compressed domain image retrieval features

  • Author

    Schaefer, Gerald

  • Author_Institution
    Dept. of Comput. Sci., Loughborough Univ., Loughborough, UK
  • fYear
    2013
  • fDate
    10-12 Sept. 2013
  • Firstpage
    1
  • Lastpage
    3
  • Abstract
    Content-based image retrieval (CBIR) extracts features from images to support image search. In this tutorial paper, we will review some of the basic CBIR algorithms that derive colour, texture and shape features, and will then show how image features can be extracted from the compressed domain, in particular from JPEG images, without the need of completely decompressing the images.
  • Keywords
    content-based retrieval; data compression; feature extraction; image coding; image colour analysis; image retrieval; image texture; CBIR algorithms; JPEG images; compressed domain image retrieval features; content based image retrieval; image colour; image decompressing; image search; image shape feature extraction; image texture; pixel domain; Feature extraction; Histograms; Image coding; Image color analysis; Image edge detection; Image retrieval; Transform coding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Digital Information Management (ICDIM), 2013 Eighth International Conference on
  • Conference_Location
    Islamabad
  • Print_ISBN
    978-1-4799-0613-0
  • Type

    conf

  • DOI
    10.1109/ICDIM.2013.6694033
  • Filename
    6694033
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=661205