Papers by Keyword: Visual Attention

Paper TitlePage

Authors: Jia Nan Zhang, Lei Du, Yong Xie, Feng Yuan Zou

Abstract: Evaluation of fashion and product design has been one of the most prominent factors among designers and researchers. Unfortunately, they...

1662
Authors: Zhan Feng Wang, Hai Tao Su, Hong Shu Chen, Zhi Yi Hu, Jie Liang Wang

Abstract: Less of edge and texture information existed in traditional visual attention model in target detection due to extract only the color,...

1213
Authors: Fan Hui, Ren Lu, Jin Jiang Li

Abstract: Drawing on the suvey of visual attention degree and its significance in psychology and physiology , in recent years, researchers have...

1171
Authors: Sheng He, Jun Wei Han, Ming Xu, Gong Cheng, Tian Yun Zhao, Lei Guo

Abstract: Computer vision community has long attempted to automatically detect locations in the image that are able to capture attentions of users. In...

1016
Authors: Ru Ting Xia, Jian Fan, Bai Shao Zhan, Shun’ichi Doi

Abstract: This paper introduces the designs on visual attention measurement system based on the visual attention theory. The measurement system...

401
Authors: Deng Ping Fan, Juan Wang, Xue Mei Liang

Abstract: The Context-Aware Saliency (CA) model—is a new model used for saliency detection—has strong limitations: It is very time consuming. This...

596
Authors: Ru Ting Xia, Xiao Yan Zhou

Abstract: This research aimed to reveal characteristics of visual attention of low-vision drivers. Near and far stimuli were used by means of a...

343
Authors: Quan Quan Wan

Abstract: In order to detect visually salient regions in video sequences, a motion saliency detection method is proposed. The motion vectors of each...

4603
Authors: Xiao Guang Hu, Cheng Qi Cheng, De Ren Li

Abstract: In this paper, we propose a novel ship detection method based on multi-visual features after analyzing the characteristics of ship in the...

228
Authors: Charlotte C. Sennersten, Craig A. Lindley

Abstract: Evaluating the effectiveness of virtual environments as training and analysis systems one must take into account both strongly and weakly...

555
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