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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
Encoding Based Saliency Detection for Videos and Images—0
Temporal-Spatial Feature Pyramid for Video Saliency Detection—0
Graph-Theoretic Spatiotemporal Context Modeling for Video Saliency Detection—0
Unsupervised uncertainty estimation using spatiotemporal cues in video saliency detection—0
Video Saliency Detection by 3D Convolutional Neural Networks—0
Graph-Based Visual Saliency—0
Global and Local Sensitivity Guided Key Salient Object Re-augmentation for Video Saliency Detection—0
Learning to Explore Intrinsic Saliency for Stereoscopic Video—0
Review of Visual Saliency Detection with Comprehensive Information—0
A model of saliency-based visual attention for rapid scene analysis—0
Saliency Detection in 360° Videos—0
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