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Author:

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

Indexed by:

CPCI-S

Abstract:

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.

Keyword:

Image Semantic Search Wisdom of Crowds Web2.0

Author Community:

  • [ 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

Reprint Author's Address:

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

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Source :

ADVANCING KNOWLEDGE DISCOVERY AND DATA MINING TECHNOLOGIES, PROCEEDINGS

Year: 2009

Page: 460-464

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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