Cross Media Image Retrieval Based on SIFT and Temporal-Spatial Context Semantic
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.
SIFT operator temporal-spatial context semantic cross media image retrieval
HAN Pengcheng DU Junping
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
国际会议
The 31st Chinese Control Conference(第三十一届中国控制会议)
合肥
英文
3812-3817
2012-07-01(万方平台首次上网日期,不代表论文的发表时间)