2D-Based Saliency Prediction Framework for Omnidirectional–360° Video
Author:
Publisher
Institution of Engineering and Technology
Link
https://digital-library.theiet.org/content/conferences/10.1049/icp.2021.1459?crawler=true&mimetype=application/pdf
Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Predicting 360° Video Saliency: A ConvLSTM Encoder-Decoder Network With Spatio-Temporal Consistency;IEEE Journal on Emerging and Selected Topics in Circuits and Systems;2024-06
2. Unified Audio-Visual Saliency Model for Omnidirectional Videos With Spatial Audio;IEEE Transactions on Multimedia;2024
3. An Inter-Observer Consistent Deep Adversarial Training for Visual Scanpath Prediction;2023 IEEE International Conference on Image Processing (ICIP);2023-10-08
4. Representation Learning Optimization for 3D Point Cloud Quality Assessment Without Reference;2022 IEEE International Conference on Image Processing (ICIP);2022-10-16
5. Point Cloud Quality Assessment Using Cross-correlation of Deep Features;Proceedings of the 2nd Workshop on Quality of Experience in Visual Multimedia Applications;2022-10-10
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