CYC Based Query Expansion Framework for Effective Image Retrieval

摘要：

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 users queries and re-rank the searching results. With the visualized baseline results and users 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.

关键词： Image retrieval query expansion Cyc knowledge base userfeedback

作者: C. H. C. Leung Yuanxi Li

作者单位: Department of Computer Science Hong Kong Baptist University Hong Kong, China

会议类型: 国际会议

会议名称: 2011 4th International Congress on Image and Signal Processing(第四届图像与信号处理国际学术会议 CISP 2011)

会议地点: 上海

会议语种:英文

页码: 1374-1378

在线出版日期: 2011-10-15（万方平台首次上网日期，不代表论文的发表时间）