Adaptive visual saliency detection method via Hilbert-Huang Spectral Analysis

@article{Shaw2014AdaptiveVS,
  title={Adaptive visual saliency detection method via Hilbert-Huang Spectral Analysis},
  author={H. Shaw and Zhaoming Lu and Xiangming Wen and Jie Cheng and Luhan Wang},
  journal={2014 IEEE International Conference on Multimedia and Expo Workshops (ICMEW)},
  year={2014},
  pages={1-6}
}
Visual saliency is largely determined by bottom-up factors that highlight image regions which are different from their surroundings. Based on the philosophy that exploits image information content as the metric of visual saliency, an adaptive visual saliency detection method(AVSDM) including Pixel Cluster, multi-scale Gaussian Pyramid Decomposition and Hilbert-Huang Spectral Analysis is proposed to measure the bottom-up factors in this paper. Saliency map is detected via non-redundant… CONTINUE READING
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Unsupervised visual saliency detection via information content measuring

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