Abstract
In this paper, we present a novel approach to saliency detection. We define a visually salient region with the following two properties; global saliency i.e. the spatial redundancy, and local saliency i.e. the region complexity. The former is its probability of occurrence within the image, whereas the latter defines how much information is contained within the region, and it is quantified by the entropy. By combining the global spatial redundancy measure and local entropy, we can achieve a simple, yet robust saliency detector. We evaluate it quantitatively and compare to Itti et al. [6] as well as to the spectral residual approach [5] on publicly available data where it shows a significant improvement.
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Boudissa, A., Tan, J., Kim, H., Ishikawa, S., Shinomiya, T., Mikolajczyk, K. (2013). A Global-Local Approach to Saliency Detection. In: Wilson, R., Hancock, E., Bors, A., Smith, W. (eds) Computer Analysis of Images and Patterns. CAIP 2013. Lecture Notes in Computer Science, vol 8048. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40246-3_41
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DOI: https://doi.org/10.1007/978-3-642-40246-3_41
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-40245-6
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