Abstract
The inherent noises can significantly degrade the accuracy of the attention area detection. In this paper, we present a novel structure of hybrid filter for suppressing noises in saliency maps which is viewed as a preliminary step towards the solution of automatic video region-of-interest determination. The filter presented in our paper makes use of the property of saliency maps and can remove almost all the Gauss noise and pepper-salt noise while preserve the details of attention area. Experimental results demonstrate the efficiency and effectiveness of our approach in extracting the region of interest.
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Guo, Y., Gu, X., Chen, Z., Chen, Q., Wang, C. (2007). Denoising Saliency Map for Region of Interest Extraction. In: Qiu, G., Leung, C., Xue, X., Laurini, R. (eds) Advances in Visual Information Systems. VISUAL 2007. Lecture Notes in Computer Science, vol 4781. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-76414-4_21
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DOI: https://doi.org/10.1007/978-3-540-76414-4_21
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-76413-7
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