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Saliency model for object detection: searching for novel items in the scene |
Optics Letters, Vol. 37, Issue 9, pp. 1580-1582 (2012)
http://dx.doi.org/10.1364/OL.37.001580
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Abstract
This Letter presents a new computational model of visual saliency. A new definition for saliency is proposed: saliency is novelty, which guides the deployment of visual attention. We define novelty as coming from regions that contain dissimilarities from the global scene. Our approach consists of two stages: First, obtain a global perspective. The global representation is obtained with a visual vocabulary. A novelty factor for each visual word is introduced according to the “repetition suppression principle.” Second, obtain a local perspective. A local representation is achieved from the histogram of visual word occurrence. The metric of saliency is defined as the overall novelty factor of the visual words. Experimental results demonstrate good performance of the proposed model on complex scenes and fair consistency with human eye fixation data.
© 2012 Optical Society of America
OCIS Codes
(100.2960) Image processing : Image analysis
(150.0150) Machine vision : Machine vision
(330.0330) Vision, color, and visual optics : Vision, color, and visual optics
(330.1880) Vision, color, and visual optics : Detection
(330.2210) Vision, color, and visual optics : Vision - eye movements
(150.1135) Machine vision : Algorithms
ToC Category:
Image Processing
History
Original Manuscript: November 11, 2011
Revised Manuscript: February 20, 2012
Manuscript Accepted: February 20, 2012
Published: May 2, 2012
Virtual Issues
Vol. 7, Iss. 7 Virtual Journal for Biomedical Optics
Citation
Zhenzhu Zheng, Tianxu Zhang, and Luxin Yan, "Saliency model for object detection: searching for novel items in the scene," Opt. Lett. 37, 1580-1582 (2012)
http://www.opticsinfobase.org/vjbo/abstract.cfm?URI=ol-37-9-1580
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