• DocumentCode
    2258621
  • Title

    Energy efficient content-based image retrieval for mobile systems

  • Author

    Hong, Yu-Ju ; Kumar, Karthik ; Lu, Yung-Hsiang

  • Author_Institution
    Sch. of Electr. & Comput. Eng., Purdue Univ., West Lafayette, IN, USA
  • fYear
    2009
  • fDate
    24-27 May 2009
  • Firstpage
    1673
  • Lastpage
    1676
  • Abstract
    This paper presents a method to save energy for mobile systems that perform content-based image retrieval (CBIR). CBIR is a computation-intensive application and a resource-constrained mobile system may save energy by offloading computation to a grid-powered server. We develop three offloading schemes based on different conditions to save energy for CBIR on mobile systems. We implement a CBIR algorithm on an HP iPAQ hw6945 and physically measure the energy savings.
  • Keywords
    content-based retrieval; grid computing; image retrieval; mobile computing; computation-intensive application; content-based image retrieval; grid-powered server; offloading computation; resource-constrained mobile system; Content based retrieval; Energy efficiency; Feature extraction; Grid computing; Image databases; Image retrieval; Mobile computing; Network servers; Personal digital assistants; Spatial databases;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 2009. ISCAS 2009. IEEE International Symposium on
  • Conference_Location
    Taipei
  • Print_ISBN
    978-1-4244-3827-3
  • Electronic_ISBN
    978-1-4244-3828-0
  • Type

    conf

  • DOI
    10.1109/ISCAS.2009.5118095
  • Filename
    5118095