• DocumentCode
    1123764
  • Title

    Content based image retrieval systems

  • Author

    Gudivada, Venkat N. ; Raghavan, Vijay V.

  • Author_Institution
    Ohio Univ., Athens, OH
  • Volume
    28
  • Issue
    9
  • fYear
    1995
  • fDate
    9/1/1995 12:00:00 AM
  • Firstpage
    18
  • Lastpage
    22
  • Abstract
    Images are being generated at an ever-increasing rate by sources such as defence and civilian satellites, military reconnaissance and surveillance flights, fingerprinting and mug-shot-capturing devices, scientific experiments, biomedical imaging, and home entertainment systems. For example, NASA´s Earth Observing System will generate about 1 terabyte of image data per day when fully operational. A content-based image retrieval (CBIR) system is required to effectively and efficiently use information from these image repositories. Such a system helps users (even those unfamiliar with the database) retrieve relevant images based on their contents. Application areas in which CBIR is a principal activity are numerous and diverse. With the recent interest in multimedia systems, CBIR has attracted the attention of researchers across several disciplines
  • Keywords
    data structures; image representation; information retrieval; multimedia computing; relevance feedback; visual databases; content based image retrieval systems; generic query classes; image data; multimedia systems; natural language query; query-specification scheme; relevance feedback; retrieval effectiveness; similarity-based retrieval; Biomedical imaging; Content based retrieval; Earth Observing System; Fingerprint recognition; Image generation; Image retrieval; Information retrieval; Military satellites; Reconnaissance; Surveillance;
  • fLanguage
    English
  • Journal_Title
    Computer
  • Publisher
    ieee
  • ISSN
    0018-9162
  • Type

    jour

  • DOI
    10.1109/2.410145
  • Filename
    410145