Cross Media Image Retrieval Based on SIFT and Temporal-Spatial Context Semantic

摘要：

This paper presents an image retrieval algorithm based on SIFT operator and the temporal-spatial context semantic, which makes use of the SIFT operator to present image features, and the temporal-spatial contex semantic to establish the knowledge networks. The experiments show that the algorithm has more accurate retrieval accuracy, and a very tight correlation between the cross-media information.

关键词： SIFT operator temporal-spatial context semantic cross media image retrieval

作者: HAN Pengcheng DU Junping

作者单位: Beijing Key Lab of Intelligent Telecommunication Software and Multimedia, School of Computer Science Beijing Key Lab of Intelligent Telecommunication Software and Multimedia, School of Computer Science

会议类型: 国际会议

会议名称: The 31st Chinese Control Conference(第三十一届中国控制会议)

会议地点: 合肥

会议语种:英文

页码: 3812-3817

在线出版日期: 2012-07-01（万方平台首次上网日期，不代表论文的发表时间）