Department of Computer Science
CYC based query expansion framework for effective image retrieval
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. © 2011 IEEE.
Cyc knowledge base, Image retrieval, query expansion, user feedback
Source Publication Title
Proceedings: The 4th International Congress on Image and Signal Processing
Link to Publisher's Edition
Leung, C., & Li, Y. (2011). CYC based query expansion framework for effective image retrieval. Proceedings: The 4th International Congress on Image and Signal Processing, 1353-1357. https://doi.org/10.1109/CISP.2011.6100462