Title :
A new bottom-up method for saliency detection
Author :
Xiaolong Ma ; Xudong Xie ; Kin-Man Lam ; Yisheng Zhong
Author_Institution :
Dept. of Autom., Tsinghua Univ., Beijing, China
Abstract :
In this paper, we propose a new method for saliency detection. Unlike other algorithms, our method considers nonsalient regions first, and extracts information in the wavelet transform domain only. Our method need not perform the inverse transform back to the image domain, which can greatly reduce the computational requirements. Experimental results show that our method can achieve excellent results when compared to the state-of-the-art methods.
Keywords :
feature extraction; wavelet transforms; bottom-up method; image domain; information extraction; nonsalient regions; saliency detection; wavelet transform domain; Fourier transforms; Image color analysis; Visualization; Wavelet coefficients; Wavelet domain;
Conference_Titel :
Consumer Electronics (ISCE), 2013 IEEE 17th International Symposium on
Conference_Location :
Hsinchu
Print_ISBN :
978-1-4673-6198-9
DOI :
10.1109/ISCE.2013.6570272