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Video Saliency Detection

Video Saliency Detection is the process of detecting or predicting the most visually important or attention-grabbing regions in video sequence. This regions are where humans most likely focus their attention when watching the video.

Papers

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Showing 26–36 of 36 papers

TitleStatusHype
SG-FCN: A Motion and Memory-Based Deep Learning Model for Video Saliency Detection—0
DeepVS: A Deep Learning Based Video Saliency Prediction ApproachCode0
Saliency Detection in 360° Videos—0
Video Saliency Detection by 3D Convolutional Neural Networks—0
Review of Visual Saliency Detection with Comprehensive Information—0
Revisiting Video Saliency: A Large-scale Benchmark and a New ModelCode0
Graph-Theoretic Spatiotemporal Context Modeling for Video Saliency Detection—0
Visual Saliency Based on Scale-Space Analysis in the Frequency Domain—0
Encoding Based Saliency Detection for Videos and Images—0
Graph-Based Visual Saliency—0
A model of saliency-based visual attention for rapid scene analysis—0
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