DocumentCode
183122
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
fYear
2014
fDate
19-21 Aug. 2014
Firstpage
825
Lastpage
829
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems and Knowledge Discovery (FSKD), 2014 11th International Conference on
Conference_Location
Xiamen
Print_ISBN
978-1-4799-5147-5
Type
conf
DOI
10.1109/FSKD.2014.6980944
Filename
6980944
Link To Document