Multiple feature distinctions based saliency flow model-Reference-Cited by-同舟云学术

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Multiple feature distinctions based saliency flow model

Published:2016-06 Issue: Volume:54 Page:190-205
ISSN:0031-3203
Container-title:Pattern Recognition
language:en
Short-container-title:Pattern Recognition

Author:

Zhang Xiujun,Sun Xiaoli,Xu Chen,Baciu George

Funder

Hong Kong Research Grants Council Grant

Specialized Research Fund for the Doctoral Program of Chinese Higher Education

National Natural Science Funds of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference34 articles.

1. U. Rutishauser, D. Walther, C. Koch, P. Perona, Is bottom-up attention useful for object recognition? in: Proceedings of IEEE Conference on Computer Vision Pattern Recognition (CVPR), IEEE, 2004, pp. 37–44.

2. Automatic foveation for video compression using a neurobiological model of visual attention;Itti;IEEE Trans. Image Process.,2004

3. Visual saliency detection using information divergence;Hou;Pattern Recognit.,2013

4. An object-based visual attention model for robotic applications;Yu;IEEE Trans. Syst. Man Cybern. B Cybern.,2010

5. C. Li, G. Baciu, Y. Wang, Modulgraph: modularity-based visualization of massive graphs, in: SIGGRAPH Asia 2015 Visualization in High Performance Computing, ACM, Kobe, Japan, 2015, pp. 11:1–11:4.

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