• DocumentCode
    147183
  • Title

    Evaluation of compact composite descriptor based reverse image search

  • Author

    Chutel, Pushpa M. ; Sakhare, Apeksha

  • fYear
    2014
  • fDate
    3-5 April 2014
  • Firstpage
    1430
  • Lastpage
    1434
  • Abstract
    With the massive growth of World Wide Web people are able to gain the access to massive amount of information. This information may contain data, images, flow charts, logos, maps etc. However locating and finding the relevant information is always a difficult task. A lot of textual-based search engines are available, but there are very rare image search engines through which desired images can be searched from the pool of images available on the web. Hence there is a need of such a image search engine using which the related and exact images can be searched. Reverse image search is such a content-based image retrieval query technique that involves providing the CBIR system with a sample image that it will then base its search upon. Reverse image search can be used to search either data related to the query image or the images related to that image or exact images.
  • Keywords
    content-based retrieval; edge detection; image retrieval; search engines; CBIR system; World Wide Web; compact composite descriptor-based reverse image search evaluation; content-based image retrieval query technique; image search engines; information access; information location; information search; query image; sample image; Computational modeling; Computer architecture; Engines; Image color analysis; Indexing; CCV; Compact Composite Descriptor; Image Feature Inverted Index; Reverse Image Search;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications and Signal Processing (ICCSP), 2014 International Conference on
  • Conference_Location
    Melmaruvathur
  • Print_ISBN
    978-1-4799-3357-0
  • Type

    conf

  • DOI
    10.1109/ICCSP.2014.6950085
  • Filename
    6950085