• DocumentCode
    3374402
  • Title

    Fast and efficient searching of multimedia databases using holographic memory

  • Author

    Berra, Bruce P. ; Mitkas, Pericles A. ; Zhong, Shengluan

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Wright State Univ., Dayton, OH, USA
  • fYear
    1999
  • fDate
    1999
  • Firstpage
    365
  • Lastpage
    372
  • Abstract
    With the ever-expanding size of multimedia databases it is important to seek new technologies that improve the performance of systems that manage these databases. One such technology is holographic memory which has some very interesting attributes such as massive parallelism, high speed, and content searching. A volume holographic database system (VHDS) serves as a building block for a postulated terabyte electro-optical computer architecture (EOCA). Data mining and image management applications are considered for the EOCA. Using the associative processing capabilities of the holographic memory a number of queries can be completed in a matter of seconds for the entire terabyte database. These queries could take hours on sequential computers. However, the state of the art in holographic memory lags far behind electronic computing and thus considerably more research and development must be performed before these systems can realize their vast potential
  • Keywords
    associative processing; data mining; holographic storage; multimedia databases; parallel databases; query processing; very large databases; associative processing; content searching; data mining; electro-optical computer architecture; holographic memory; image management; massive parallelism; multimedia databases; performance; queries; searching; terabyte database; volume holographic database system; Application software; Associative processing; Computer architecture; Data mining; Database systems; Holography; Image databases; Multimedia databases; Parallel processing; Technology management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Tools with Artificial Intelligence, 1999. Proceedings. 11th IEEE International Conference on
  • Conference_Location
    Chicago, IL
  • ISSN
    1082-3409
  • Print_ISBN
    0-7695-0456-6
  • Type

    conf

  • DOI
    10.1109/TAI.1999.809824
  • Filename
    809824