Title :
Experiment with reduced feature vector in CBIR system with relevance feedback
Author :
Zajiae, G. ; Kojiae, N. ; Reljin, N. ; Reljin, Branimir
Author_Institution :
ICT College, 11000 Belgrade, Zdravka ??elara 16, Serbia, Yugoslavia
Abstract :
A CBIR system with relevance feedback is described. System uses feature vectors (FVs) with only 24 components describing color, line directions and texture. The reduction of FV dimension is based on the statistics of global image features. The proposed system was tested over Corel 1K dataset and results are compared to some other CBIR systems with or without FV reduction.
Keywords :
Low-level image features; feature vector reduction; image retrieval; relevance feedback;
Conference_Titel :
Visual Information Engineering, 2008. VIE 2008. 5th International Conference on
Print_ISBN :
978-0-86341-914-0
