SST-Sal: A spherical spatio-temporal approach for saliency prediction in 360 videos

Author:

Bernal-Berdun EdurneORCID,Martin Daniel,Gutierrez Diego,Masia Belen

Funder

State Agency of Research

Departamento de Educación, Cultura y Deporte, Gobierno de Aragón

Fundación BBVA

Horizon 2020 Marie Skłodowska-Curie Actions

Horizon 2020

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Human-Computer Interaction,General Engineering

Cited by 13 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. The use of CNNs in VR/AR/MR/XR: a systematic literature review;Virtual Reality;2024-08-30

2. A Human-Annotated Video Dataset for Training and Evaluation of 360-Degree Video Summarization Methods;Proceedings of the 2024 ACM International Conference on Interactive Media Experiences Workshops;2024-06-12

3. 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

4. SAL3D: a model for saliency prediction in 3D meshes;The Visual Computer;2024-01-04

5. Unified Audio-Visual Saliency Model for Omnidirectional Videos With Spatial Audio;IEEE Transactions on Multimedia;2024

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