DocumentCode
2973667
Title
COQUINA: content-queryable image and signal archives
Author
Hu, Wen-Chen ; Schmalz, Mark S. ; Ritter, Gerhard X.
Author_Institution
Dept. of Comput. Sci. & Eng., Auburn Univ., AL, USA
Volume
2
fYear
1999
fDate
36342
Firstpage
1009
Abstract
This research proposes an image representation, called a line string, encodes an image via a string of linear skeleton, and an image matching method, i.e., finding a longest approximate common subsequence of two line strings. An image retrieval system is constructed based on the above methods. Experimental results show any image in the system can be precisely retrieved as long as each image has a unique image string
Keywords
content-based retrieval; image matching; image representation; visual databases; COQUINA; content-queryable; fast retrieval; image archives; image database; image matching; image representation; image retrieval; image retrieval system; line string; Image databases; Image representation; Image retrieval; Image segmentation; Image storage; Information retrieval; Linear approximation; Los Angeles Council; Prototypes; Skeleton;
fLanguage
English
Publisher
ieee
Conference_Titel
Multimedia Computing and Systems, 1999. IEEE International Conference on
Conference_Location
Florence
Print_ISBN
0-7695-0253-9
Type
conf
DOI
10.1109/MMCS.1999.778637
Filename
778637
Link To Document