1 code implementation • 13 Mar 2018 • Amin Banitalebi-Dehkordi, Mahsa T. Pourazad, Panos Nasiopoulos
Our model starts with a rough segmentation and quantifies several intuitive observations such as the effects of visual discomfort level, depth abruptness, motion acceleration, elements of surprise, size and compactness of the salient regions, and emphasizing only a few salient objects in a scene.
1 code implementation • 13 Mar 2018 • Amin Banitalebi-Dehkordi, Yuanyuan Dong, Mahsa T. Pourazad, Panos Nasiopoulos
To this end we propose a learning-based visual saliency fusion method for HDR content (LVBS-HDR) to combine various visual saliency features.