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作者:

Lv Chao-Qing (Lv Chao-Qing.) | Xiao Wen-Liang (Xiao Wen-Liang.) | Wu Kun (Wu Kun.) | Zhu Qing (Zhu Qing.)

收录:

CPCI-S

摘要:

With the search algorithm technology to flourish, the current major search engine to search the contents of the letter has basically met the needs of the people. However, according to the current accuracy in the image search, all vendors have not given a very good solution. This paper summarizes the solution adopted by current search engine vendor, and introduces a new approach that attach content description based on XML doc to web images in order to achieve converting unstructured information search into structured information search. At the same time, by injecting the Web2.0 feature-Wisdom of Crowds, so that the engine has the characteristics of self-learning: with the increase of users, accuracy, as well as intelligence of image search engine will also be increased.

关键词:

Image Semantic Search Web2.0 Wisdom of Crowds

作者机构:

  • [ 1 ] [Lv Chao-Qing]Beijing Univ Technol, Sch Software Engn, Beijing, Peoples R China
  • [ 2 ] [Xiao Wen-Liang]Beijing Univ Technol, Sch Software Engn, Beijing, Peoples R China
  • [ 3 ] [Wu Kun]Beijing Univ Technol, Sch Software Engn, Beijing, Peoples R China
  • [ 4 ] [Zhu Qing]Beijing Univ Technol, Sch Software Engn, Beijing, Peoples R China

通讯作者信息:

  • [Lv Chao-Qing]Beijing Univ Technol, Sch Software Engn, Beijing, Peoples R China

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来源 :

ADVANCING KNOWLEDGE DISCOVERY AND DATA MINING TECHNOLOGIES, PROCEEDINGS

年份: 2009

页码: 460-464

语种: 英文

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