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Paper Abstract and Keywords
Presentation 2013-03-06 11:45
A saliency map model for dynamic images based on receptive field properties of visual area MT
Kodai Tsuda, Takeshi Kohama (Kinki Univ)
Abstract (in Japanese) (See Japanese page) 
(in English) Saliency map models are mathematical expressions of the characteristics of bottom-up attention processing (Itti & Koch, 2000). The saliency maps are calculated by weighting to the distribution of color and the orientation of input images on the bases of the physiological knowledge of early visual system. In late years, saliency-based models were modified to predict gaze positions for moving objects. However, these models have not been taken into the neural response characteristics of motion detection area in the brain, such as the area MT. The purpose of this study is to calculate the saliency maps for the motion components in moving images by reproducing the properties of the area MT neurons' receptive fields involved in motion perception. To evaluate the performance of proposed model, we conducted simulation experiments for the motion pop-out stimulus. The simulation results suggest that the proposed model can pick up the pop-out region more sensitively than the previous model. Furthermore, the simulation results for the movies of natural scenery, our model persistently responds to the region in which certain motion contrasts are contained whereas the previous model responds intermittently.
Keyword (in Japanese) (See Japanese page) 
(in English) Visual area MT / Receptive field model / Dynamic image / Saliency map / / / /  
Reference Info. ITE Tech. Rep., vol. 37, no. 12, HI2013-51, pp. 39-42, March 2013.
Paper # HI2013-51 
Date of Issue 2013-02-26 (HI, 3DIT) 
ISSN Print edition: ISSN 1342-6893
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Conference Information
Committee HI 3DMT  
Conference Date 2013-03-05 - 2013-03-06 
Place (in Japanese) (See Japanese page) 
Place (in English) Tokyo University of Agriculture and Technology 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Audio-Visual Technology, Human Interface, etc. 
Paper Information
Registration To HI 
Conference Code 2013-03-HI-3DIT 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A saliency map model for dynamic images based on receptive field properties of visual area MT 
Sub Title (in English)  
Keyword(1) Visual area MT  
Keyword(2) Receptive field model  
Keyword(3) Dynamic image  
Keyword(4) Saliency map  
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1st Author's Name Kodai Tsuda  
1st Author's Affiliation Kinki University (Kinki Univ)
2nd Author's Name Takeshi Kohama  
2nd Author's Affiliation Kinki University (Kinki Univ)
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Speaker Author-1 
Date Time 2013-03-06 11:45:00 
Presentation Time 25 minutes 
Registration for HI 
Paper # HI2013-51, 3DIT2013-19 
Volume (vol) vol.37 
Number (no) no.12 
Page pp.39-42 
#Pages
Date of Issue 2013-02-26 (HI, 3DIT) 


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