CYC based query expansion framework for effective image retrieval

Clement H C LEUNG*, Yuanxi Li

*Corresponding author for this work

Research output: Chapter in book/report/conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

We study several semantic concept-based query expansion and re-ranking scheme and compare different ontology-based expansion methods in image search and retrieval. In particular, we exploit the functions of CYC Knowledge Base for concept expansion. Furthermore, we combine CYC with our image retrieval framework - Pixearch to expand the user's queries and re-rank the searching results. With the visualized baseline results and user's interactive pruning, the image retrieval precision and recall can yield significantly increase. Preliminary experiments have been able to demonstrate that the proposed retrieval mechanism has the potential to outperform unaided approaches and other query expansion methods.

Original languageEnglish
Title of host publicationProceedings - 4th International Congress on Image and Signal Processing, CISP 2011
Pages1353-1357
Number of pages5
DOIs
Publication statusPublished - 2011
Event4th International Congress on Image and Signal Processing, CISP 2011 - Shanghai, China
Duration: 15 Oct 201117 Oct 2011

Publication series

NameProceedings - 4th International Congress on Image and Signal Processing, CISP 2011
Volume3

Conference

Conference4th International Congress on Image and Signal Processing, CISP 2011
Country/TerritoryChina
CityShanghai
Period15/10/1117/10/11

Scopus Subject Areas

  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition
  • Signal Processing

User-Defined Keywords

  • Cyc knowledge base
  • Image retrieval
  • query expansion
  • user feedback

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