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
fDate :
11/1/2000 12:00:00 AM
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;
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
