Salient region detection using local and global saliency

@article{Cheung2012SalientRD,
  title={Salient region detection using local and global saliency},
  author={Yiu-ming Cheung and Qinmu Peng},
  journal={Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012)},
  year={2012},
  pages={210-213}
}
In this paper, we present a novel local-global salient region detection method. We first obtain the smoothed image via gradient minimization, resulting in more homogeneous background. Then, we partition the smoothed image into a set of regions and compute the region saliency by measuring the dissimilarity and spatial distance. Furthermore, we adopt the global color distribution, including the color coherence, to yield global saliency region. Finally, we combine the local-and-global salient… CONTINUE READING

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SHOWING 1-10 OF 14 REFERENCES

Learning to Detect a Salient Object

  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • 2007
VIEW 4 EXCERPTS
HIGHLY INFLUENTIAL

A Model of Saliency-Based Visual Attention for Rapid Scene Analysis

  • IEEE Trans. Pattern Anal. Mach. Intell.
  • 2009
VIEW 4 EXCERPTS
HIGHLY INFLUENTIAL

Context-Aware Saliency Detection

  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • 2010
VIEW 3 EXCERPTS

Saliency Detection: A Spectral Residual Approach

  • 2007 IEEE Conference on Computer Vision and Pattern Recognition
  • 2007
VIEW 3 EXCERPTS