• DocumentCode
    2384346
  • Title

    Graceful image retrieval performance degradation using small world distributed indexing

  • Author

    Androutsos, P. ; Venetsanopoulos, A.N. ; Androutsos, D.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Toronto Univ., Ont., Canada
  • Volume
    3
  • fYear
    2005
  • fDate
    11-14 Sept. 2005
  • Abstract
    A small world search agent employing peer-to-peer concepts borrowed from sociology is employed for performing image retrievals in a small world distributed media index. The small world indexing method (SWIM) allows for a highly networked architecture where index information does not exist as a separate entity on a specific server, but rather is stored within the actual media objects themselves. Since each media object is only responsible for a small portion of the overall index, the loss of portions of the overall network (data objects) accounts for only a small degradation in the overall retrieval performance. Building upon previous work, the graceful degradation which is provided by the SWIM system is addressed here for retrievals which are performed using small world user agents on a large set of MPEG-7 described images.
  • Keywords
    image retrieval; indexing; image retrieval performance degradation; peer-to-peer concepts; small world distributed indexing; Computer architecture; Degradation; Distributed computing; Image retrieval; Indexing; Lattices; MPEG 7 Standard; Network topology; Peer to peer computing; Sociology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 2005. ICIP 2005. IEEE International Conference on
  • Print_ISBN
    0-7803-9134-9
  • Type

    conf

  • DOI
    10.1109/ICIP.2005.1530619
  • Filename
    1530619