Title :
Sketch-based image retrieval by using saliency
Author :
Da Pan ; Ping Shi ; Cuiying Li
Author_Institution :
Coll. of Inf. Eng., Commun. Univ. of China, Beijing, China
Abstract :
A method of sketch-based image retrieval by using saliency is proposed. This paper introduces saliency based on the color contrast into the sketch-based image retrieval to solve the common problems of scale and translation. Moreover, an improved Hausdorff distance is proposed to increase punishment on outliers, which avoids the negative effects caused by the outliers. The experiment result shows that the proposed method has better performance in retrieval accuracy than HD-MHD and TLS-HD.
Keywords :
image colour analysis; image retrieval; Hausdorff distance; MHD; TLS-HD; color contrast based saliency; image scale; image translation; sketch-based image retrieval; Accuracy; High definition video; Image retrieval; Magnetohydrodynamics; Noise; Shape; Hasdorff; Retrieval; Saliency; Sketch;
Conference_Titel :
Fuzzy Systems and Knowledge Discovery (FSKD), 2014 11th International Conference on
Conference_Location :
Xiamen
Print_ISBN :
978-1-4799-5147-5
DOI :
10.1109/FSKD.2014.6980944
