DocumentCode
2815844
Title
Use of multiple algorithms in image content searches
Author
Parker, J.R. ; Behm, Brad
Author_Institution
Digital Media Lab., Calgary Univ., Alta., Canada
Volume
2
fYear
2004
fDate
5-7 April 2004
Firstpage
246
Abstract
Statistical image analysis is simple to implement, but rarely achieves high levels of significance in image similarity searches except on contrived image collections. It is proposed that simple geometric features and measure of grey level and color can be combined to form a similarity-based retrieval system that is both efficient and effective.
Keywords
content-based retrieval; image retrieval; information retrieval systems; statistical analysis; contrived image collections; geometric features; image content searches; image similarity; similarity-based retrieval system; statistical image analysis; Computer science; Density measurement; Detectors; Histograms; Image converters; Image edge detection; Image segmentation; Information technology; Pixel; Shape;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Technology: Coding and Computing, 2004. Proceedings. ITCC 2004. International Conference on
Print_ISBN
0-7695-2108-8
Type
conf
DOI
10.1109/ITCC.2004.1286640
Filename
1286640
Link To Document