Result 1 to 16 of 16 total
Development of a biologically inspired real-time spatiotemporal visual attention system. (English)
Nguyen, Ngoc Thanh (ed.) et al., Intelligent information and database systems. Third international conference, ACIIDS 2011, Daegu, Korea, April 20‒22, 2011. Proceedings, Part I. Berlin: Springer (ISBN 978-3-642-20038-0/pbk). Lecture Notes in Computer Science 6591. Lecture Notes in Artificial Intelligence, 416-424 (2011).
1
Development of a biologically inspired real-time spatiotemporal visual attention system (English)
ACIIDS (1), 416-424 (2011).
2
IMTAR: incremental mining of general temporal association rules (English)
JIPS 6, No. 2, 163-176 (2010).
3
Automatic focusing attention for a stereo pair of image sequence (English)
Int. Conf. Interaction Sciences, 1185-1190 (2009).
4
A perceptive viewpoint controller for the free-viewpoint TV (English)
Int. Conf. Interaction Sciences, 1077-1080 (2009).
5
Selective visual attention system based on spatiotemporal features. (English)
Lee, Seongil (ed.) et al., Computer-human interaction. 8th Asia-Pacific conference, APCHI 2008, Seoul, Korea, July 6‒9, 2008. Proceedings. Berlin: Springer (ISBN 978-3-540-70584-0/pbk). Lecture Notes in Computer Science 5068, 203-212 (2008).
6
Selective visual attention system based on spatiotemporal features (English)
APCHI, 203-212 (2008).
7
A smart image sensor with attention modules (English)
CAMP, 46-51 (2005).
8
Detecting perceptually important regions in an image based on human visual attention characteristic. (English)
Caelli, Terry (ed.) et al., Structural, syntactic, and statistical pattern recognition. Joint IAPR international workshops, SSPR 2002 and SPR 2002, Windsor, Ontario, Canada, August 6‒9, 2002. Proceedings. Berlin: Springer (ISBN 3-540-44011-9). Lect. Notes Comput. Sci. 2396, 329-338 (2002).
9
A method of extracting objects of interest with possible broad application in computer vision. (English)
Bülthoff, Heinrich H. (ed.) et al., Biologically motivated computer vision. Second international workshop, BMCV 2002, Tübingen, Germany, November 22‒24, 2002. Proceedings. Berlin: Springer (ISBN 3-540-00174-3/pbk). Lect. Notes Comput. Sci. 2525, 331-339 (2002).
10
A feature-driven attention module for an active vision system. (English)
Van Gool, Luc (ed.), Pattern recognition. 24th DAGM symposium, Zurich, Switzerland, September 16-18, 2002, Proceedings. Berlin: Springer. Lect. Notes Comput. Sci. 2449, 583-590 (2002).
11
A saliency map model for active perception using color information and local competitive mechanism. (English)
Ishizuka, Mitsuru (ed.) et al., PRICAI 2002: Trends in artificial intelligence. 7th Pacific Rim international conference on artificial intelligence, Tokyo, Japan, August 18-22, 2002. Proceedings. Berlin: Springer. Lect. Notes Comput. Sci. 2417, 315-324 (2002).
12
A feature-driven attention module for an active vision system (English)
DAGM-Symposium, 583-590 (2002).
13
Detecting perceptually important regions in an image based on human visual attention characteristic (English)
SSPR/SPR, 329-338 (2002).
14
A saliency map model for active perception using color information and local competitive mechanism (English)
PRICAI, 315-324 (2002).
15
A method of extracting objects of interest with possible broad application in computer vision (English)
Biologically Motivated Computer Vision, 331-339 (2002).
16
Result 1 to 16 of 16 total
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