An innovative no-reference metric for real-time 3D stereoscopic video quality assessment

Y Han, Z Yuan, GM Muntean - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
3D video technologies have been widely adopted by video service providers and consumer
electronics stakeholders due to their potential of offering an immersive user experience. In …

Measuring 3D Video Quality of Experience (QoE) Using A Hybrid Metric Based on Spatial Resolution and Depth Cues

S Coskun, G Nur Yilmaz, F Battisti, M Alhussein… - Journal of …, 2023 - mdpi.com
A three-dimensional (3D) video is a special video representation with an artificial
stereoscopic vision effect that increases the depth perception of the viewers. The quality of a …

Qoe oriented adaptive streaming method for 360 virtual reality videos

Y Han, Y Ma, Y Liao… - 2019 IEEE SmartWorld …, 2019 - ieeexplore.ieee.org
Recently streaming virtual reality (VR) video has become increasingly accessible to a
growing number of consumers following the rapid development of network capacity and …

Jomodevi: A joint motion and depth visibility prediction algorithm for perceived stereoscopic 3d quality

S Biswas, B Appina, PA Kara, A Simon - Signal Processing: Image …, 2022 - Elsevier
In this paper, we introduce a completely blind and unsupervised no-reference model that
performs the quality assessment of stereoscopic 3D videos by using joint motion and depth …

Trends in S3D-movie quality evaluated on 105 films using 10 metrics

D Vatolin, A Bokov, M Erofeev… - Electronic …, 2016 - library.imaging.org
In this paper we present a large-scale analysis of S3D-movie technical quality spanning a
large portion of stereoscopic-cinema history. We evaluated 105 Blu-ray 3D releases …

[PDF][PDF] Objective models for performance comparison of compression algorithms for 3DTV

J Kufa, O Kaller, O Zach, L Polak, T Kratochvil - Radioengineering, 2019 - radioeng.cz
Efficient video compression algorithms in advanced multimedia broadcasting systems are in
high demand. In the last decades, different video compression tools have been developed …

Toward fully automatic channel-mismatch detection and discomfort prediction for S3D video

A Bokov, S Lavrushkin, M Erofeev… - … Conference on 3D …, 2016 - ieeexplore.ieee.org
Channel mismatch-ie, swapped left and right views-can cause major visual discomfort when
viewing stereoscopic content, but detecting it automatically remains a challenge. We present …

On the practical applications of objective quality metrics for stereoscopic 3D imaging

S Biswas, B Appina, RR Tamboli… - … of Machine Learning …, 2021 - spiedigitallibrary.org
Objective quality metrics provide cost-efficient methods for quality evaluation, as they are
practically algorithms, models, that avoid the necessity of subjective assessment, which is a …

No reference stereoscopic video quality assessment using joint motion and depth statistics

A Balasubramanyam, J Akshith, BS Srinivas… - arXiv preprint arXiv …, 2017 - arxiv.org
We present a no reference (NR) quality assessment algorithm for assessing the perceptual
quality of natural stereoscopic 3D (S3D) videos. This work is inspired by our finding that the …

[PDF][PDF] Stereoscopic quality assessment of 1,000 VR180 videos using 8 metrics

S Lavrushkin, I Molodetskikh, K Kozhemyakov… - Electronic …, 2021 - researchgate.net
In this work we present a large-scale analysis of stereoscopic quality for 1,000 VR180
YouTube videos. VR180 is a new S3D format for VR devices which stores the view for only a …