Visual Attention Prediction for Stereoscopic Video by Multi-Module Fully Convolutional Network

Yuming Fang; Chi Zhang; Hanqin Huang; Jianjun Lei

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Visual Attention Prediction for Stereoscopic Video by Multi-Module Fully Convolutional Network

机译：基于多模块全卷积网络的立体视频视觉注意力预测

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摘要

Visual attention is an important mechanism in the human visual system (HVS) and there have been numerous saliency detection algorithms designed for 2D images/video recently. However, the research for fixation detection of stereoscopic video is still limit

机译：视觉注意力是人类视觉系统（HVS）的重要机制，最近有许多针对2D图像/视频的显着性检测算法。但是，对立体视频的注视检测的研究仍然很有限。

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来源
《IEEE Transactions on Image Processing》 |2019年第11期|5253-5265|共13页
作者
Yuming Fang; Chi Zhang; Hanqin Huang; Jianjun Lei;
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作者单位

School of Information Management Jiangxi University of Finance and Economics Nanchang China;

Machine Learning R&D Department Sina Weibo China;

School of Elec;

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原文格式 PDF
正文语种 eng
中图分类
关键词
Visualization; Stereo image processing; Two dimensional displays; Feature extraction; Computational modeling; Object detection; Convolution;

机译：可视化;立体图像处理;二维显示;特征提取;计算建模;对象检测;卷积;

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专利

1. Hybrid convolutional neural networks and optical flow for video visual attention prediction [J] . Meijun Sun, Ziqi Zhou, Dong Zhang, Multimedia Tools and Applications . 2018,第22期

机译：混合卷积神经网络和光流用于视频视觉注意力预测
2. Motion Sickness Prediction in Stereoscopic Videos using 3D Convolutional Neural Networks [J] . Lee Tae Min, Yoon Jong-Chul, Lee In-Kwon IEEE transactions on visualization and computer graphics . 2019,第5期

机译：使用3D卷积神经网络预测立体视频中的晕动病
3. Motion Sickness Prediction in Stereoscopic Videos using 3D Convolutional Neural Networks [J] . Lee Tae Min, Yoon Jong-Chul, Lee In-Kwon IEEE transactions on visualization and computer graphics . 2019,第5期

机译：使用3D卷积神经网络的立体视频中的运动疾病预测
4. ASTM: An Attention based Spatiotemporal Model for Video Prediction Using 3D Convolutional Neural Networks [C] . Zheng Chang, Xinfeng Zhang, Shanshe Wang, IEEE International Conference on Multimedia and Expo . 2021

机译：ASTM：使用3D卷积神经网络的视频预测注意力模型
5. Identifying Sports Players in Broadcast Videos Using Recurrent and Convolutional Neural Networks [D] . Chan, Alvin. 2018

机译：使用反复和卷积神经网络识别广播视频中的体育运动者
6. Prediction of CRISPR/Cas9 single guide RNA cleavage efficiency and specificity by attention-based convolutional neural networks [O] . Guishan Zhang, Tian Zeng, Zhiming Dai, 2021

机译：基于关注的卷积神经网络预测CRISPR / CAS9单引导RNA切割效率和特异性
7. ASTM: An Attention based Spatiotemporal Model for Video Prediction Using 3D Convolutional Neural Networks [O] . Zheng Chang, Xinfeng Zhang, Shanshe Wang, 2021

机译：ASTM：使用3D卷积神经网络的视频预测注意力模型

Visual Attention Prediction for Stereoscopic Video by Multi-Module Fully Convolutional Network

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