Scale adaptive visual attention detection by subspace analysis

@inproceedings{Hu2007ScaleAV,
  title={Scale adaptive visual attention detection by subspace analysis},
  author={Yiqun Hu and Deepu Rajan and Liang-Tien Chia},
  booktitle={ACM Multimedia},
  year={2007}
}
We describe a method to extract visual attention regions in images by robust subspace analysis from simple feature like intensity endowed with scale adaptivity in order to represent textured areas in an image. The scale adaptive descriptor is mapped onto clusters in linear spaces. A new subspace estimation algorithm based on the Generalized Principal Component Analysis (GPCA) is proposed to estimate multiple linear subspaces. The visual attention of each region is calculated using a new region… CONTINUE READING

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