scholarly journals A proto-object-based computational model for visual saliency

2013 ◽  
Vol 13 (13) ◽  
pp. 27 ◽  
Author(s):  
Victoria Yanulevskaya ◽  
Jasper Uijlings ◽  
Jan-Mark Geusebroek ◽  
Nicu Sebe ◽  
Arnold Smeulders
2016 ◽  
Vol 18 (2) ◽  
pp. 273-286 ◽  
Author(s):  
Jin-Gang Yu ◽  
Gui-Song Xia ◽  
Changxin Gao ◽  
Ashok Samal

2014 ◽  
Vol 1044-1045 ◽  
pp. 1049-1052 ◽  
Author(s):  
Chin Chen Chang ◽  
I Ta Lee ◽  
Tsung Ta Ke ◽  
Wen Kai Tai

Common methods for reducing image size include scaling and cropping. However, these two approaches have some quality problems for reduced images. In this paper, we propose an image reducing algorithm by separating the main objects and the background. First, we extract two feature maps, namely, an enhanced visual saliency map and an improved gradient map from an input image. After that, we integrate these two feature maps to an importance map. Finally, we generate the target image using the importance map. The proposed approach can obtain desired results for a wide range of images.


Author(s):  
Jamal Lottier Molin ◽  
Alexander F. Russell ◽  
Stefan Mihalas ◽  
Ernst Niebur ◽  
Ralph Etienne-Cummings

2017 ◽  
Vol 19 (8) ◽  
pp. 1718-1729 ◽  
Author(s):  
Hao Dou ◽  
Delie Ming ◽  
Zhi Yang ◽  
Zhihong Pan ◽  
Yansheng Li ◽  
...  

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