An Image Retrieval Algorithm Based on Reselect Manifold Ranking

摘要：

Content-Based Image Retrieval (CBIR) has become one of the most active research areas. Researchers focus on introducing manifold learning method into CBIR due to its advantage of learning user’s semantic conception. In this paper, we review the existing image retrieval algorithms based on manifold ranking and studied the issues of them. Particularly, we propose a novel image retrieval algorithm based on reselect manifold ranking to save online response time and improve the precision for image retrieval. The experimental results on image database demonstrate the effectiveness of our proposed algorithm.

关键词： manifold ranking content-based image retrieval CBIR manifold learning

作者: Li Liu Dan Tao Zhen Liu Ying Zou

作者单位: Department of Computer Science, Huizhou University, Huizhou, Guangdong School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing College of Computer Science and Engineering, South China University of Technology, Guangzhou College of Computer Science and Engineering, Zhongkai University of Agriculture and Engineering, Gua

会议类型: 国际会议

会议名称: 2010 Cross-Strait Conference on Information Science and Technology(2010 海峡两岸信息科学与技术学术交流会)

会议地点: 秦皇岛

会议语种:英文

页码: 430-435

在线出版日期: 2010-07-09（万方平台首次上网日期，不代表论文的发表时间）