Visual attention modeling for stereoscopic video: a benchmark and computational model
In this paper, we investigate the visual attention modeling for stereoscopic video from the
following two aspects. First, we build one large-scale eye tracking database as the …
following two aspects. First, we build one large-scale eye tracking database as the …
A two-stage clustering based 3D visual saliency model for dynamic scenarios
Three-dimensional (3D) visual saliency is fundamental for vision-guided applications such
as human-computer interaction in virtual reality, image quality assessment, object tracking …
as human-computer interaction in virtual reality, image quality assessment, object tracking …
Study of subjective quality and objective blind quality prediction of stereoscopic videos
We present a new subjective and objective study on full high-definition (HD) stereoscopic
(3D or S3D) video quality. In the subjective study, we constructed an S3D video dataset with …
(3D or S3D) video quality. In the subjective study, we constructed an S3D video dataset with …
Visual attention prediction for stereoscopic video by multi-module fully convolutional network
Visual attention is an important mechanism in the human visual system (HVS) and there
have been numerous saliency detection algorithms designed for 2D images/video recently …
have been numerous saliency detection algorithms designed for 2D images/video recently …
Visual attention, visual salience, and perceived interest in multimedia applications
Y Rai, P Le Callet - Academic Press Library in Signal Processing, Volume …, 2018 - Elsevier
This chapter clarifies the concept and the usage of visual attention in multimedia
applications. Visual attention modeling has been the focus of many research efforts in the …
applications. Visual attention modeling has been the focus of many research efforts in the …
A learning-based visual saliency prediction model for stereoscopic 3D video (LBVS-3D)
A Banitalebi-Dehkordi, MT Pourazad… - Multimedia Tools and …, 2017 - Springer
Saliency prediction models provide a probabilistic map of relative likelihood of an image or
video region to attract the attention of the human visual system. Over the past decade, many …
video region to attract the attention of the human visual system. Over the past decade, many …
Benchmark three-dimensional eye-tracking dataset for visual saliency prediction on stereoscopic three-dimensional video
A Banitalebi-Dehkordi, E Nasiopoulos… - Journal of …, 2016 - spiedigitallibrary.org
Visual attention models (VAMs) predict the location of image or video regions that are most
likely to attract human attention. Although saliency detection is well explored for two …
likely to attract human attention. Although saliency detection is well explored for two …
Learning to explore saliency for stereoscopic videos via component-based interaction
In this paper, we devise a saliency prediction model for stereoscopic videos that learns to
explore saliency inspired by the component-based interactions including spatial, temporal …
explore saliency inspired by the component-based interactions including spatial, temporal …
[HTML][HTML] A free database of eye movements watching “Hollywood” videoclips
FM Costela, RL Woods - Data in brief, 2019 - Elsevier
The provided database of tracked eye movements was collected using an infra-red, video-
camera Eyelink 1000 system, from 95 participants as they viewed 'Hollywood'video clips …
camera Eyelink 1000 system, from 95 participants as they viewed 'Hollywood'video clips …
3D visual content datasets
Abstract Development and performance evaluation of efficient methods for coding,
transmission, and quality assessment of 3D visual content require rich datasets of a suitable …
transmission, and quality assessment of 3D visual content require rich datasets of a suitable …