ML Anthology

Spatio-Temporal Saliency Detection Using Phase Spectrum of Quaternion Fourier Transform

Chenlei Guo, Qi Ma, Liming Zhang
CVPR 2008
doi:10.1109/CVPR.2008.4587715 /cvpr/2008/guo2008cvpr-spatio/

Abstract

Salient areas in natural scenes are generally regarded as the candidates of attention focus in human eyes, which is the key stage in object detection. In computer vision, many models have been proposed to simulate the behavior of eyes such as SaliencyToolBox (STB), neuromorphic vision toolkit (NVT) and etc., but they demand high computational cost and their remarkable results mostly rely on the choice of parameters. Recently a simple and fast approach based on Fourier transform called spectral residual (SR) was proposed, which used SR of the amplitude spectrum to obtain the saliency map. The results are good, but the reason is questionable.

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Cite

Text

Guo et al. "Spatio-Temporal Saliency Detection Using Phase Spectrum of Quaternion Fourier Transform." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2008. doi:10.1109/CVPR.2008.4587715

Markdown

[Guo et al. "Spatio-Temporal Saliency Detection Using Phase Spectrum of Quaternion Fourier Transform." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2008.](https://mlanthology.org/cvpr/2008/guo2008cvpr-spatio/) doi:10.1109/CVPR.2008.4587715

BibTeX

@inproceedings{guo2008cvpr-spatio,
  title     = {{Spatio-Temporal Saliency Detection Using Phase Spectrum of Quaternion Fourier Transform}},
  author    = {Guo, Chenlei and Ma, Qi and Zhang, Liming},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {2008},
  doi       = {10.1109/CVPR.2008.4587715},
  url       = {https://mlanthology.org/cvpr/2008/guo2008cvpr-spatio/}
}