Search Results for author: Mahsa T. Pourazad

Found 2 papers, 0 papers with code

A Learning-Based Visual Saliency Fusion Model for High Dynamic Range Video (LBVS-HDR)

no code implementations13 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.

Eye Tracking Saliency Prediction

A Learning-Based Visual Saliency Prediction Model for Stereoscopic 3D Video (LBVS-3D)

no code implementations13 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.

Eye Tracking Saliency Prediction +1

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