Image retrieval based on color, texture, shape and SVM relevance feedback

摘要：

After the research of the principle of SVM, it is applied to the relevance feedback of the content-based image retrieval. First do a initial retrieval separately by MEPG-7 Dominating Color, Gray-level Co-occurrence Matrix and histogram, then do a feedback using the SVM for the new round retrieval. In the experiment we comparing the SVM feedback result with the result of weight adjusting-based algorithm, prove that SVM feedback can greatly improve the recall level, get more items that be of interest to the user.

关键词： SVM content-based image retrieval relevance feedback Weights adjusting

作者: Xia Yu XiaoSha Huang

作者单位: College of Information Science and Engineering Shenyang University of Technology-Central Campus Shenyang, China

会议类型: 国际会议

会议名称: 2010 IEEE 11th International Conference on Computer-Aided Industrial Design & Conceptual Design(2010年第11届国际计算机辅助工业设计与概念设计学术会议)

会议地点: 浙江义乌

会议语种:英文

页码: 779-781

在线出版日期: 2010-11-17（万方平台首次上网日期，不代表论文的发表时间）