Motion Context guided Edge-preserving network for video salient object detection
Video salient object detection targets at extracting the most conspicuous objects in a video
sequence, which facilitate various video processing tasks, eg, video compression, video …
sequence, which facilitate various video processing tasks, eg, video compression, video …
Audio-visual saliency for omnidirectional videos
Visual saliency prediction for omnidirectional videos (ODVs) has shown great significance
and necessity for omnidirectional videos to help ODV coding, ODV transmission, ODV …
and necessity for omnidirectional videos to help ODV coding, ODV transmission, ODV …
Accurate video saliency prediction via hierarchical fusion and temporal recurrence
Y Zhang, T Zhang, C Wu, Y Zheng - Image and Vision Computing, 2023 - Elsevier
With the ability to extract spatiotemporal features, 3D convolutional networks have become
the mainstream method for Video Saliency Prediction (VSP). However, these methods …
the mainstream method for Video Saliency Prediction (VSP). However, these methods …
Salient object detection for RGBD video via spatial interaction and depth-based boundary refinement
Y Zhang, Z Zhang, P Zhang, M Xu - Complex & Intelligent Systems, 2023 - Springer
Recently proposed state-of-the-art saliency detection models rely heavily on labeled
datasets and rarely focus on perfect RGBD feature fusion, which lowers their generalization …
datasets and rarely focus on perfect RGBD feature fusion, which lowers their generalization …
SCFANet: Semantics and Context Feature Aggregation Network for 360° Salient Object Detection
Z He, F Shao, G Chen, X Chai… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
How to solve the problem of geometric distortion is the key for salient object detection (SOD)
in 360° omnidirectional images. Most of the current methods integrate global and local …
in 360° omnidirectional images. Most of the current methods integrate global and local …
A New Ontology Convolutional Neural Network for Extorting Essential Elements in Video Mining
Nowadays, people use video compression for recreating video without affecting the quality
with reduced size. In recent years, the number of video files has increased in social media …
with reduced size. In recent years, the number of video files has increased in social media …
Gaze prediction based on long short-term memory convolution with associated features of video frames
L Xiao, Z Zhu, H Liu, C Li, W Fu - Computers and Electrical Engineering, 2023 - Elsevier
Gaze prediction is a key issue for visual perception research. It can be used to infer
important regions in videos to reduce the amount of computation in learning and inference of …
important regions in videos to reduce the amount of computation in learning and inference of …
Quality-driven dual-branch feature integration network for video salient object detection
X Zhou, H Gao, L Yu, D Yang, J Zhang - Electronics, 2023 - mdpi.com
Video salient object detection has attracted growing interest in recent years. However, some
existing video saliency models often suffer from the inappropriate utilization of spatial and …
existing video saliency models often suffer from the inappropriate utilization of spatial and …
[图书][B] Image and Graphics: 12th International Conference, ICIG 2023, Nanjing, China, September 22–24, 2023, Proceedings, Part I
The five-volume set LNCS 14355, 14356, 14357, 14358 and 14359 constitutes the refereed
proceedings of the 12th International Conference on Image and Graphics, ICIG 2023, held in …
proceedings of the 12th International Conference on Image and Graphics, ICIG 2023, held in …
[PDF][PDF] Interactive Video Saliency Prediction: The Stacked-convLSTM Approach.
Cognitive and neuroscience of attention researches suggest the use of spatio-temporal
features for an efficient video saliency prediction. This is due to the representative nature of …
features for an efficient video saliency prediction. This is due to the representative nature of …