Video Saliency Detection
19 papers with code • 5 benchmarks • 2 datasets
Latest papers with no code
Temporal-Spatial Feature Pyramid for Video Saliency Detection
Multi-level features are important for saliency detection.
Learning to Explore Intrinsic Saliency for Stereoscopic Video
Finally, a Convolutional Long Short-Term Memory (Conv-LSTM) based fusion network is developed to model the instantaneous interactions between spatio-temporal and depth attributes, such that the ultimate stereoscopic saliency maps over time are produced.
Unsupervised uncertainty estimation using spatiotemporal cues in video saliency detection
Based on the study, we then develop an algorithm that estimates a pixel-wise uncertainty map that reflects our confidence in the associated computational saliency map by relating a pixel's saliency to the saliency of its neighbors.
Global and Local Sensitivity Guided Key Salient Object Re-augmentation for Video Saliency Detection
In this paper, based on the fact that salient areas in videos are relatively small and concentrated, we propose a \textbf{key salient object re-augmentation method (KSORA) using top-down semantic knowledge and bottom-up feature guidance} to improve detection accuracy in video scenes.
Salient Object Detection in Video using Deep Non-Local Neural Networks
Detection of salient objects in image and video is of great importance in many computer vision applications.
SG-FCN: A Motion and Memory-Based Deep Learning Model for Video Saliency Detection
To this end, we propose a novel and efficient video eye fixation detection model to improve the saliency detection performance.
Saliency Detection in 360° Videos
Considering that the 360° videos are usually stored with equirectangular panorama, we propose to implement the spherical convolution on panorama by stretching and rotating the kernel based on the location of patch to be convolved.
Video Saliency Detection by 3D Convolutional Neural Networks
Different from salient object detection methods for still images, a key challenging for video saliency detection is how to extract and combine spatial and temporal features.
Review of Visual Saliency Detection with Comprehensive Information
With the acquisition technology development, more comprehensive information, such as depth cue, inter-image correspondence, or temporal relationship, is available to extend image saliency detection to RGBD saliency detection, co-saliency detection, or video saliency detection.
Graph-Theoretic Spatiotemporal Context Modeling for Video Saliency Detection
As a result, a key issue in video saliency detection is how to effectively capture the intrinsical properties of atomic video structures as well as their associated contextual interactions along the spatial and temporal dimensions.