DocumentCode
1415647
Title
Performance evaluation of the nearest feature line method in image classification and retrieval
Author
Li, Stan Z. ; Chan, Kap Luk ; Wang, Changliang
Author_Institution
Sigma Center, Microsoft Res. China, Beijing, China
Volume
22
Issue
11
fYear
2000
fDate
11/1/2000 12:00:00 AM
Firstpage
1335
Lastpage
1339
Abstract
A method, the nearest feature line (NFL) method, is used in image classification and retrieval and its performance is evaluated and compared with other methods by extensive experiments. The NFL method is demonstrated to make efficient use of knowledge about multiple prototypes of a class to represent that class.
Keywords
image classification; image colour analysis; image retrieval; image texture; search problems; image classification; image retrieval; nearest feature line method; performance evaluation; Color; Euclidean distance; Histograms; Image classification; Image databases; Image retrieval; Information retrieval; Neural networks; Pattern analysis; Prototypes;
fLanguage
English
Journal_Title
Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publisher
ieee
ISSN
0162-8828
Type
jour
DOI
10.1109/34.888719
Filename
888719
Link To Document