• DocumentCode
    707599
  • Title

    Object analysis in image mining

  • Author

    Khan, Imran ; Khan, Asif ; Shaikh, Riaz Ahmed

  • Author_Institution
    BVICAM, New Delhi, India
  • fYear
    2015
  • fDate
    11-13 March 2015
  • Firstpage
    1985
  • Lastpage
    1988
  • Abstract
    Multimedia and image mining representing the image objects clearly and efficiently because image objects are hard to define. Thus, we have to break the image object into meaningful components such as color, texture, shape, etc. Querying the image objects after representing them to retrieve the discovered knowledge. In the age of Big Data where Velocity, Variety and Volume are the challenges, variety of data that include structured as well as unstructured data is the most important issue. Image mining in Big Data is the challenge need to be addressed, so the proposed work compose an image query object, aspect of use, Keywords to compose a query, try to compare the query image object to the objects in the database because unlike numeric or text data, exact match can be rarely found between two image objects. Visualization techniques to view the image components in a meaningful way such as image mining that create effective analysis and retrieval.
  • Keywords
    Big Data; content-based retrieval; data mining; data structures; data visualisation; image colour analysis; image representation; image retrieval; image texture; multimedia computing; Big Data; color component; content based image retrieval; image mining; image object representation; multimedia mining; object analysis; query image object; shape component; structured data; texture component; unstructured data; visualization techniques; Data mining; Feature extraction; Image color analysis; Image retrieval; Multimedia communication; Content Based Image Retrieval; Image Mining;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing for Sustainable Global Development (INDIACom), 2015 2nd International Conference on
  • Conference_Location
    New Delhi
  • Print_ISBN
    978-9-3805-4415-1
  • Type

    conf

  • Filename
    7100589