• DocumentCode
    1930803
  • Title

    Design and implementation of connoisseur annotated metadata based image retrieval system -a case study

  • Author

    Kumar, Vinod ; Lehri, Sushma ; Sharma, Ashok Kumar ; Kumar, Arvind

  • Author_Institution
    Directorate of Rapeseed-Mustard Res., Bharatpur, India
  • Volume
    3
  • fYear
    2010
  • fDate
    9-11 July 2010
  • Firstpage
    154
  • Lastpage
    159
  • Abstract
    In recent years digital cameras have seen a revolution in digital image collection and thousands of quality images can be collected quickly and easily. The connoisseur image annotation is an effective approach for making image organization and browsing simple and quick, even for very large collections. The design and implementation of text base query system is particular concern with the management and retrieval of rapeseed-mustard research images collection. The performance of retrieving an image in terms of text-type of queries depends on the quality of the annotated descriptive metadata that describes the content of the images. We showed that the image retrieval using connoisseur annotation approach significantly lead to the improvement of the recall and precision of image retrieval.
  • Keywords
    agriculture; cameras; image retrieval; meta data; connoisseur annotated metadata; connoisseur image annotation; digital cameras; digital image collection; image organization; image retrieval system; rapeseed-mustard research images collection; text base query system; Databases; Image coding; Transform coding; annotation; image retrieval; meta database; mustard;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Information Technology (ICCSIT), 2010 3rd IEEE International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-5537-9
  • Type

    conf

  • DOI
    10.1109/ICCSIT.2010.5563695
  • Filename
    5563695