• DocumentCode
    2728203
  • Title

    Large-scale image/videos´ automatic annotation and retrieval based on the distributed users

  • Author

    Guo, Feng ; Li, Shaozi ; Dai, Ying

  • Author_Institution
    Cognitive Sci. Dept., Xiamen Univ., Xiamen, China
  • Volume
    4
  • fYear
    2009
  • fDate
    20-22 Nov. 2009
  • Firstpage
    48
  • Lastpage
    52
  • Abstract
    In this paper, a mechanism of large-scale image/videos (I/Vs) automatic annotation and retrieval based on the distributed users is proposed, and a prototype system on the basis of it is implemented by the .net framework. Furthermore, the algorithm of annotating the meanings of I/Vs by their associative values with predefined categories, and the method of implementing the system is described. Experiment results regarding the evaluation that users can find their expecting I/Vs show that the proposed approach is effective and efficient for annotating and retrieving large I/Vs.
  • Keywords
    network operating systems; user interfaces; video retrieval; .net framework; distributed users; image automatic annotation; image retrieval; video automatic annotation; video retrieval; Associative memory; Cognitive science; Humans; Image color analysis; Image retrieval; Large-scale systems; Magnesium compounds; Prototypes; Software prototyping; Videos; associative value; distributed network; image/videos annotation; multi-category retrieval; performance evaluation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computing and Intelligent Systems, 2009. ICIS 2009. IEEE International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-4754-1
  • Electronic_ISBN
    978-1-4244-4738-1
  • Type

    conf

  • DOI
    10.1109/ICICISYS.2009.5357738
  • Filename
    5357738