Web image annotation using two-step filtering on social tags

Sunyoung Cho, Jaeseong Cha, Hyeran Byun

Research output: Chapter in Book/Report/Conference proceedingConference contribution


Web image annotation has become an important issue with exploding web images and the necessity of effective image search. The social tags have recently utilized at image annotation because they can reflect the user's tagging tendency, and reduce the semantic gap. However, an effective filtering procedure is required to extract the relevant tags since the user's subjectivity and noisy tags. In this paper, we propose a two-step filtering on social tags for image annotation. This method conducts the filtering and verification tasks by analyzing the tags of visual neighbor images using voting method and co-occurrence analysis. Our method consists of the following three steps: 1) the tag candidate set is founded by searching the visual neighbor images, 2) from a given tag candidate set, coarse filtering is conducted by tag grouping and voting technique, 3) the dense filtering is conducted by using similarity verification for coarse filtered candidate tag set. To evaluate the performance of our approach, we conduct the experiments on a social-tagged image dataset obtained from Flickr. We compare the annotation accuracy between the voting method and our proposed method. Our experimental results show that our method has an improvement in image annotation.

Original languageEnglish
Title of host publicationImaging and Printing in a Web 2.0 World II
Publication statusPublished - 2011
EventImaging and Printing in a Web 2.0 World II - San Francisco, CA, United States
Duration: 2011 Jan 262011 Jan 27

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
ISSN (Print)0277-786X


OtherImaging and Printing in a Web 2.0 World II
Country/TerritoryUnited States
CitySan Francisco, CA

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering


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