• DocumentCode
    3582871
  • Title

    Contemporary integration of content based image retrieval

  • Author

    Shaikh, Riaz Ahmed ; Deep, Samundra ; Jian-Ping Li ; Kumar, Kamlesh ; Khan, Asif ; Memon, Imran

  • Author_Institution
    Sch. of Comput. Sci. & Eng., UESTC, Chengdu, China
  • fYear
    2014
  • Firstpage
    301
  • Lastpage
    304
  • Abstract
    Content Based Image Retrieval (CBIR) has been a challenging research area among researchers of both industries and academic institutions. Human can judge and respond by memory to obtain and locate the target image and relate it by specific object, but for computer vision it´s a challenging issue to retrieve image from complex database that is difficult to balance with an efficient algorithm. Simultaneous situation and complex object has been always a big challenge to retrieve an object from image or query image from database. In this paper, we propose to combine Neural Network to sense a specific objective image that is content based and easily retrieving from complex database.
  • Keywords
    computer vision; content-based retrieval; image retrieval; neural nets; CBIR contemporary integration; computer vision; content based image retrieval; image querying; neural network; Biological neural networks; Computer science; Feature extraction; Image color analysis; Image retrieval; Complex Database; Computer Vision; Content Based Image Retrieval; Feature Extraction; Neural Network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wavelet Active Media Technology and Information Processing (ICCWAMTIP), 2014 11th International Computer Conference on
  • Print_ISBN
    978-1-4799-7207-4
  • Type

    conf

  • DOI
    10.1109/ICCWAMTIP.2014.7073413
  • Filename
    7073413