© The Institution of Engineering and Technology
A simple and effective method for visual saliency detection in colour images is presented. The method is based on the common observation that local salient regions exhibit distinct geometric and texture patterns from neighbouring regions. The colour distribution of local image patches is modelled with a Gaussian density and measure the saliency of each patch as the statistical distance from that density. Experimental results with public datasets and comparison with other state-of-the-art methods show the effectiveness of the method.
References
-
-
1)
-
8. Shi, J., Yan, Q., Xu, L., Jia, J.: ‘Hierarchical image saliency detection on extended ECSSD’, IEEE Trans. Pattern Anal. Mach. Intell., 2016, 38, (4), pp. 717–729 (doi: 10.1109/TPAMI.2015.2465960).
-
2)
-
1. Achanta, R., Estrada, F., Susstrunk, S., Hemami, S.: ‘Frequency-tuned salient region detection’. Proc. IEEE Conf. on Computer Vision and Pattern Recognition, Miami, FL, USA, June 2010, pp. 1597–1604.
-
3)
-
3. Yubing, T., Cheikh, F.A., Guraya, F.F.E., Konik, H., Trémeau, A.: ‘A spatiotemporal saliency model for video surveillance’, Cogn. Comput., 2011, 3, (1), pp. 241–263 (doi: 10.1007/s12559-010-9094-8).
-
4)
-
2. Siagian, C., Itti, I.: ‘Biologically inspired mobile robot vision localization’, IEEE Trans. Robot., 2009, 25, (4), pp. 861–873 (doi: 10.1109/TRO.2009.2022424).
-
5)
-
6. Guo, C.L., Zhang, L.M.: ‘A novel multiresolution spatiotemporal saliency detection model and its applications in image and video compression’, IEEE Trans. Image Process., 2010, 19, (1), pp. 185–198 (doi: 10.1109/TIP.2009.2030969).
-
6)
-
6. Borji, A., Itti, L.: ‘State-of-the-art in visual attention modeling’, IEEE Trans. Pattern Anal. Mach. Intell., 2013, 35, (1), pp. 185–207 (doi: 10.1109/TPAMI.2012.89).
-
7)
-
7. Judd, T., Ehinger, K., Durand, F., Torralba, A.: ‘Learning to predict where humans look’. Proc. IEEE Int. Conf. on Computer Vision, Miami, FL, USA, June 2010, pp. 2106–2113.
-
8)
-
4. Sidibé, D., Fofi, D., Mériaudeau, F.: ‘Using visual saliency for object tracking with particle filters’. Proc. European Conf. on Signal Processing, Aalborg, Denmark, August 2010, pp. 1776–1780.
-
9)
-
9. Goferman, S., Zelnik-Manor, L., Tal, A.: ‘Context-aware saliency detection’. Proc. IEEE Conf. on Computer Vision and Pattern Recognition, San Francisco, CA, USA, June 2010, pp. 459–468.
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Visual saliency detection in colour images based on density estimation