A Model of Visual Attention for Natural Image Retrieval

Author

Guanghai Liu ; Dengping Fan

Author_Institution

Coll. of Comput. Sci. & Inf. Technol., Guangxi Normal Univ., Guilin, China

fYear

2013

fDate

7-8 Dec. 2013

Firstpage

728

Lastpage

733

Abstract

In this paper, saliency textons model is proposed to encode color, orientation and saliency cue and spatial information as image features for CBIR, where the image representation is so called saliency textons histogram. Experimental results indicate that the performances of saliency textons histogram outperform Gabor filter and multi-text on histogram. The saliency textons histogram can combine color feature, edge feature and spatial layout together. Furthermore, saliency textons model can simulate visual attention mechanism.

Keywords

content-based retrieval; image coding; image colour analysis; image representation; image retrieval; CBIR; color encoding; color feature; edge feature; image features; image representation; natural image retrieval; orientation cue; saliency cue; saliency texton histogram; saliency texton model; spatial information; spatial layout; visual attention model; Computational modeling; Feature extraction; Gabor filters; Histograms; Image color analysis; Image retrieval; Visualization; Saliency model; Saliency textons histogram; Visual attention;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Science and Cloud Computing Companion (ISCC-C), 2013 International Conference on

Conference_Location

Guangzhou

Type

conf

DOI

10.1109/ISCC-C.2013.21

Filename

6973678