A Novel Biologically Inspired Visual Saliency Model-Reference-Cited by-同舟云学术

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A Novel Biologically Inspired Visual Saliency Model

Published:2014-05-10 Issue:4 Volume:6 Page:841-848
ISSN:1866-9956
Container-title:Cognitive Computation
language:en
Short-container-title:Cogn Comput

Author:

Zhao Jingjing,Sun Shujin,Liu Xingtong,Sun Jixiang,Yang Afeng

Publisher

Springer Science and Business Media LLC

Subject

Cognitive Neuroscience,Computer Science Applications,Computer Vision and Pattern Recognition

Link

http://link.springer.com/content/pdf/10.1007/s12559-014-9266-z.pdf

Reference32 articles.

1. Wu H, Wang Y, Feng K, Wong T, Lee TY, Heng P. Resizing by symmetry–summarization. ACM Trans Graph. 2010;29(6):1591–9.

2. Siagian C, Itti L. Biologically-inspired robotics vision Monte-Carlo localization in the outdoor environment. In: IEEE/RSL international conference on intelligent robots and systems; 2007. p. 1723–30.

3. Tong Y, Cheikh F, Guraya F, Konik H, Tremeau A. A spatiotemporal saliency model for video surveillance. Cogn Comput. 2011;3:241–63.

4. Harding P, Robertson N. Visual saliency from image features with application to compression. Cogn Comput. 2013;5:76–98.

5. Treisman AM, Gelade G. A feature-integration theory of attention. Cogn Psychol. 1980;12(1):97–136.

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