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Extending 2D Saliency Models for Head Movement Prediction in 360-Degree Images using CNN-Based Fusion
2020
2020 IEEE International Symposium on Circuits and Systems (ISCAS)
Saliency prediction can be of great benefit for 360degree image/video applications, including compression, streaming, rendering and viewpoint guidance. It is therefore quite natural to adapt the 2D saliency prediction methods for 360degree images. To achieve this, it is necessary to project the 360-degree image to 2D plane. However, the existing projection techniques introduce different distortions, which provides poor results and makes inefficient the direct application of 2D saliency
doi:10.1109/iscas45731.2020.9181229
fatcat:b6epqhghlffwvbeexwpajoibm4