Title :
Perceptual Image Retrieval by Adding Color Information to the Shape Context Descriptor
Author :
Rusiñol, Marçal ; Noorbakhsh, Farshad ; Karatzas, Dimosthenis ; Valveny, Ernest ; Lladós, Josep
Author_Institution :
Dept. Cienc. de la Computacio, Univ. Autonoma de Barcelona, Barcelona, Spain
Abstract :
In this paper we present a method for the retrieval of images in terms of perceptual similarity. Local color information is added to the shape context descriptor in order to obtain an object description integrating both shape and color as visual cues. We use a color naming algorithm in order to represent the color information from a perceptual point of view. The proposed method has been tested in two different applications, an object retrieval scenario based on color sketch queries and a color trademark retrieval problem. Experimental results show that the addition of the color information significantly outperforms the sole use of the shape context descriptor.
Keywords :
image colour analysis; image retrieval; query processing; shape recognition; color information; color naming algorithm; color sketch queries; color trademark retrieval problem; object description; object retrieval scenario; perceptual image retrieval; shape context descriptor; Context; Histograms; Image color analysis; Pixel; Shape; Trademarks; Visualization; Graphics recognition; color naming; multimedia retrieval; perceptual description; shape context;
Conference_Titel :
Pattern Recognition (ICPR), 2010 20th International Conference on
Conference_Location :
Istanbul
Print_ISBN :
978-1-4244-7542-1
DOI :
10.1109/ICPR.2010.394