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 :
بازگشت