DocumentCode
1964454
Title
Efficient indexing of multi-color sets for content-based image retrieval
Author
Mlsna, Phillip A. ; Rodríguez, Jeffrey J.
Author_Institution
Dept. of Comput. Sci. & Electr. Eng., Northern Arizona Univ., Flagstaff, AZ, USA
fYear
2000
fDate
2000
Firstpage
116
Lastpage
120
Abstract
The color set concept of Smith and Chang (1995, 1996) is a useful and efficient approach to image indexing and querying in a way that combines color and spatial information. By indexing relatively important regions based on both their color content and their spatial locations, the color set method allows rapid retrieval of images matching a specified color-spatial query. To produce a color set representation for an image, it is necessary to determine the relevant color combinations that occur in the image. We present here a new technique for determine the relevant color combinations much more efficiently than the original algorithm. Using this refinement, the process of analyzing an image in order to produce a color set description becomes many times faster
Keywords
content-based retrieval; database indexing; image colour analysis; image matching; image representation; set theory; visual databases; color set representation; content-based image retrieval; image analysis; image indexing; image matching; image querying; multi-color sets; spatial information; Birth disorders; Color; Computer science; Content based retrieval; Image analysis; Image databases; Image retrieval; Indexing; Query processing; Spatial databases;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Analysis and Interpretation, 2000. Proceedings. 4th IEEE Southwest Symposium
Conference_Location
Austin, TX
Print_ISBN
0-7695-0595-3
Type
conf
DOI
10.1109/IAI.2000.839583
Filename
839583
Link To Document