Abstract
Detection of salient regions in images is useful for object based image retrieval and browsing applications. This task can be done using methods based on the human visual attention model [1], where feature maps corresponding to color, intensity and orientation capture the corresponding salient regions. In this paper, we propose a strategy for combining the salient regions from the individual feature maps based on a new Composite Saliency Indicator (CSI) which measures the contribution of each feature map to saliency. The method also carries out a dynamic weighting of individual feature maps. The experiment results indicate that this combination strategy reflects the salient regions in an image more accurately.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Itti, L., Koch, C., Niebur, E.: A model of saliency-based visual attention for rapid scene analysis. IEEE Transactions on Pattern Analysis and Machine Intelligence 20, 1254–1259 (1998)
Ma, Y.F., Zhang, H.J.: Contrast-based image attention analysis by using fuzzy growing. In: Proceedings of the eleventh ACM international conference on Multimedia, vol. 1, pp. 374–381 (2003)
Kadir, T., Brady, M.: Saliency, scale and image description. International Journal of Computer Vision 45, 83–105 (2001)
Itti, L., Koch, C.: A comparison of feature combination strategies for saliency-based visual attention systems. In: Proc. SPIE Human Vision and Electronic Imaging IV (HVEI 1999), San Jose, CA, vol. 3644, pp. 473–482 (1999)
Walther, D., Itti, L., Riesenhuber, M., Poggio, T., Koch, C.: Attentional selection for object recognition - a gentle way. Category Theory Applied to Computation and Control 25, 472–479 (2002)
Wong, A., Sahoo, P.: A gray-level threshold selection method based on maximum entropy principle. IEEE Transactions on Systems, Man, and Cybernetics, 866–871 (1989)
Sugihara, K.: Robust gift wrapping for the three-dimensional convex hull. J. Comput. Syst. Sci. 49, 391–407 (1994)
Adams, R., Bischof, L.: Seeded region growing. IEEE Transactions on Pattern Analysis and Machine Intelligence 16, 641–647 (1994)
Hu, Y., Xie, X., Ma, W.Y., Rajan, D., Chia, L.T.: Salient object extraction combining visual attention and edge information. Technical Report (2004)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2004 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Hu, Y., Xie, X., Ma, WY., Chia, LT., Rajan, D. (2004). Salient Region Detection Using Weighted Feature Maps Based on the Human Visual Attention Model. In: Aizawa, K., Nakamura, Y., Satoh, S. (eds) Advances in Multimedia Information Processing - PCM 2004. PCM 2004. Lecture Notes in Computer Science, vol 3332. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30542-2_122
Download citation
DOI: https://doi.org/10.1007/978-3-540-30542-2_122
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-23977-2
Online ISBN: 978-3-540-30542-2
eBook Packages: Computer ScienceComputer Science (R0)