Abstract:

The term `saliency' that indicates the visual importance of pixels in an image has a significant effect in contentbased image retrieval. A new image retrieval method was presented by exploring the saliency-weighted image features of color and texture,which did not require to segment those salient regions from images, but only to weigh the original features of color and texture by saliency of pixels. In such a way, the color and texture features of salient regions were naturally enhanced. Four popular saliency maps on images were mainly tested and the experimental results showed the effectiveness of our method with higher retrieval accuracy.

Key words:  image retrieval; saliency weighted; color histogram; local binary pattern histogram