Multi-level semantic characterization and refinement for Web image search

Yuanxi Li*, Clement H C LEUNG

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

1 Citation (Scopus)


With the increasing number of Web images and social photograph sharing sites, effective search of real-world images becomes a formidable challenge and an important necessity. Different indexing and annotation algorithms are required for different types of Web images. To meet the challenge and provide satisfactory search results to users, we present a multi-level method with four levels differentially applied to different types of Web images. The performance of our method is evaluated by experiments on thousands of Web images and tags in different subsets, and our approach is able to yield highly promising results compared with applying a single method to all types of Web images.

Original languageEnglish
Pages (from-to)147-154
Number of pages8
JournalProcedia Environmental Sciences
Issue numberPART A
Publication statusPublished - 2011
Event2011 2nd International Conference on Challenges in Environmental Science and Computer Engineering, CESCE 2011 - Haikou, China
Duration: 14 Dec 201115 Dec 2011

Scopus Subject Areas

  • Ecology, Evolution, Behavior and Systematics
  • Environmental Science(all)
  • Geography, Planning and Development
  • Earth and Planetary Sciences(all)

User-Defined Keywords

  • Automatic annotation
  • CYC inference
  • Image retrival
  • MPEG-7
  • Scene analysis


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