Benchmark 3D eye-tracking dataset for visual saliency prediction on stereoscopic 3D video

Visual Attention Models (VAMs) predict the location of an image or video regions that are most likely to attract human attention. Although saliency detection is well explored for 2D image and video content, there are only few attempts made to design 3D saliency prediction models. Newly proposed 3D v...

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Veröffentlicht in:	arXiv.org 2018-03
Hauptverfasser:	Banitalebi-Dehkordi, Amin, Nasiopoulos, Eleni, Pourazad, Mahsa T, Nasiopoulos, Panos
Format:	Artikel
Sprache:	eng
Schlagworte:	Benchmarks Datasets Image detection Mathematical models Performance evaluation Salience Stereoscopy Three dimensional models Two dimensional models Visual task performance
Online-Zugang:	Volltext
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