• DocumentCode
    2821920
  • Title

    Reconfigurable Peer-to-Peer network Image Retrieval

  • Author

    Su, Chun-Rang ; Chen, Jiann-Jane ; Liu, Jun-Lin ; Shiue, De-Hui

  • Author_Institution
    Electr. Eng. Dept., Nat. Taiwan Univ. of Sci. & Technol., Taipei, Taiwan
  • fYear
    2011
  • fDate
    6-9 Nov. 2011
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Performing Content-Based Image Retrieval (CBIR) on Internet connected databases through Peer-to-Peer (P2P) network (P2P-CBIR) effectively explores the large-scale image database distributed over connected peers. In additional to enlarge the retrieval scale from server-client to P2P networks, the required computation and network traffics for performing CBIR can also be distributed. Decentralized unstructured P2P framework is adopted to perform the P2P-CBIR in considering control flexibility, under which reconfiguration is feasible to improve the retrieval performance. Based on this framework, the proposed P2P-CBIR can progressively refine the accuracy of retrieved images when they are transmitted on the routes toward the query peer. With flexible P2P framework, reconfiguration can be carried out on the P2P-CBIR, which helps to improve retrieval efficiency. Experiments verified that the P2P-CBIR with reconfiguration outperforms the one without, and the latter outperforms server-client approaches in both retrieval accuracy and network traffics.
  • Keywords
    Internet; content-based retrieval; image retrieval; peer-to-peer computing; visual databases; Internet connected databases; content-based image retrieval; decentralized unstructured P2P framework; image database; network traffics; reconfigurable peer-to-peer network image retrieval; server-client approaches; Databases; Discrete wavelet transforms; Image segmentation; Irrigation; Streaming media;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Visual Communications and Image Processing (VCIP), 2011 IEEE
  • Conference_Location
    Tainan
  • Print_ISBN
    978-1-4577-1321-7
  • Electronic_ISBN
    978-1-4577-1320-0
  • Type

    conf

  • DOI
    10.1109/VCIP.2011.6115960
  • Filename
    6115960