Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/30896
Title: From quaternion to octonion : feature-based image saliency detection
Authors: Gao, HY
Lam, KM 
Keywords: Gaussian pyramids
Saliency detection
Feature map
Octonion
Spectral normalization
Issue Date: 2014
Publisher: IEEE
Source: 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 4-9 May 2014, Florence, p. 2808-2812 How to cite?
Abstract: A novel computational model for detecting salient regions in color images is proposed by utilizing early visual features and performing spectral normalization in the octonion algebra framework, which can accommodate more feature channels than quaternions can. Firstly, feature maps based on edge intensity, the black-white, red-green, and blue-yellow color opponents, as well as the Gabor features with four directions, are incorporated into the eight channels of the octonion image. Then, spectral normalization is achieved by preserving the phase information of the octonion image. Finally, saliency maps are generated at different scales using Gaussian pyramids, and are combined to form the final saliency map. The integration of frequency normalization into the octonion image and saliency-map pyramids exploits the benefits from both the spectral domain and the spatial domain. Experimental results on the MSRA dataset demonstrate that our proposed method outperforms five existing saliency detection models.
URI: http://hdl.handle.net/10397/30896
ISBN: 
DOI: 10.1109/ICASSP.2014.6854112
Appears in Collections:Conference Paper

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