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Title: A new bottom-up method for saliency detection
Authors: Ma, X
Xie, X
Lam, KM 
Zhong, Y
Keywords: Feature extraction
Wavelet transforms
Issue Date: 2013
Publisher: IEEE
Source: 2013 IEEE 17th International Symposium on Consumer Electronics (ISCE), 3-6 June 2013, Hsinchu, p. 97-98 How to cite?
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.
ISBN: 978-1-4673-6198-9
ISSN: 0747-668X
DOI: 10.1109/ISCE.2013.6570272
Appears in Collections:Conference Paper

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