Title :
Cross media image retrieval based on SIFT and temporal-spatial context semantic
Author :
Pengcheng, Han ; Junping, Du
Author_Institution :
Beijing Key Lab. of Intell. Telecommun. Software & Multimedia, Beijing Univ. of Posts & Telecommun., Beijing, China
Abstract :
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.
Keywords :
content-based retrieval; feature extraction; image retrieval; mathematical operators; transforms; SIFT operator; content-based retrieval; cross media image retrieval algorithm; cross-media information correlation; image feature extraction; image feature presentation; knowledge networks; retrieval accuracy; scale-invariant feature transform; temporal-spatial context semantic; Algorithm design and analysis; Context; Feature extraction; Image retrieval; Media; Semantics; Vectors; SIFT operator; cross media; image retrieval; temporal-spatial context semantic;
Conference_Titel :
Control Conference (CCC), 2012 31st Chinese
Conference_Location :
Hefei
Print_ISBN :
978-1-4673-2581-3
