Timezone: »
A visual attention system should respond placidly when common stimuli are presented, while at the same time keep alert to anomalous visual inputs. In this paper, a dynamic visual attention model based on the rarity of features is proposed. We introduce the Incremental Coding Length (ICL) to measure the perspective entropy gain of each feature. The objective of our model is to maximize the entropy of the sampled visual features. In order to optimize energy consumption, the limit amount of energy of the system is re-distributed amongst features according to their Incremental Coding Length. By selecting features with large coding length increments, the computational system can achieve attention selectivity in both static and dynamic scenes. We demonstrate that the proposed model achieves superior accuracy in comparison to mainstream approaches in static saliency map generation. Moreover, we also show that our model captures several less-reported dynamic visual search behaviors, such as attentional swing and inhibition of return.
Author Information
Xiaodi Hou (California Institute of Technology)
Liqing Zhang (Shanghai Jiao Tong University)
Related Events (a corresponding poster, oral, or spotlight)
-
2008 Spotlight: Dynamic Visual Attention: Searching for coding length increments »
Wed. Dec 10th 05:59 -- 06:00 PM Room
More from the Same Authors
-
2022 Poster: Weak-shot Semantic Segmentation via Dual Similarity Transfer »
Junjie Chen · Li Niu · Siyuan Zhou · Jianlou Si · Chen Qian · Liqing Zhang -
2022 Spotlight: Lightning Talks 6B-4 »
Junjie Chen · Chuanxia Zheng · JINLONG LI · Yu Shi · Shichao Kan · Yu Wang · FermÃn Travi · Ninh Pham · Lei Chai · Guobing Gan · Tung-Long Vuong · Gonzalo Ruarte · Tao Liu · Li Niu · Jingjing Zou · Zequn Jie · Peng Zhang · Ming LI · Yixiong Liang · Guolin Ke · Jianfei Cai · Gaston Bujia · Sunzhu Li · Siyuan Zhou · Jingyang Lin · Xu Wang · Min Li · Zhuoming Chen · Qing Ling · Xiaolin Wei · Xiuqing Lu · Shuxin Zheng · Dinh Phung · Yigang Cen · Jianlou Si · Juan Esteban Kamienkowski · Jianxin Wang · Chen Qian · Lin Ma · Benyou Wang · Yingwei Pan · Tie-Yan Liu · Liqing Zhang · Zhihai He · Ting Yao · Tao Mei -
2022 Spotlight: Weak-shot Semantic Segmentation via Dual Similarity Transfer »
Junjie Chen · Li Niu · Siyuan Zhou · Jianlou Si · Chen Qian · Liqing Zhang -
2022 Spotlight: Lightning Talks 1B-4 »
Andrei Atanov · Shiqi Yang · Wanshan Li · Yongchang Hao · Ziquan Liu · Jiaxin Shi · Anton Plaksin · Jiaxiang Chen · Ziqi Pan · yaxing wang · Yuxin Liu · Stepan Martyanov · Alessandro Rinaldo · Yuhao Zhou · Li Niu · Qingyuan Yang · Andrei Filatov · Yi Xu · Liqing Zhang · Lili Mou · Ruomin Huang · Teresa Yeo · kai wang · Daren Wang · Jessica Hwang · Yuanhong Xu · Qi Qian · Hu Ding · Michalis Titsias · Shangling Jui · Ajay Sohmshetty · Lester Mackey · Joost van de Weijer · Hao Li · Amir Zamir · Xiangyang Ji · Antoni Chan · Rong Jin -
2022 Spotlight: UniGAN: Reducing Mode Collapse in GANs using a Uniform Generator »
Ziqi Pan · Li Niu · Liqing Zhang -
2022 Poster: UniGAN: Reducing Mode Collapse in GANs using a Uniform Generator »
Ziqi Pan · Li Niu · Liqing Zhang -
2021 Poster: Mixed Supervised Object Detection by Transferring Mask Prior and Semantic Similarity »
Yan Liu · Zhijie Zhang · Li Niu · Junjie Chen · Liqing Zhang -
2021 Poster: Weak-shot Fine-grained Classification via Similarity Transfer »
Junjie Chen · Li Niu · Liu Liu · Liqing Zhang -
2011 Poster: A Multilinear Subspace Regression Method Using Orthogonal Tensors Decompositions »
Qibin Zhao · Cesar F Caiafa · Danilo Mandic · Liqing Zhang · Tonio Ball · Andreas Schulze-bonhage · Andrzej S CICHOCKI -
2011 Demonstration: Contour-Based Large Scale Image Retrieval Platform »
Rong Zhou · Liqing Zhang -
2011 Spotlight: A Multilinear Subspace Regression Method Using Orthogonal Tensors Decompositions »
Qibin Zhao · Cesar F Caiafa · Danilo Mandic · Liqing Zhang · Tonio Ball · Andreas Schulze-bonhage · Andrzej S CICHOCKI