Title :
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
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;
Conference_Titel :
Information Science and Cloud Computing Companion (ISCC-C), 2013 International Conference on
Conference_Location :
Guangzhou
DOI :
10.1109/ISCC-C.2013.21
