Forecasting of viewers’ discomfort

• Author: Anastasiia Antsiferova
• Supervisor: dr. Dmitriy Vatolin

Introduction

Nowadays, numerous movies are produced in stereoscopic format. Despite the development of stereoscopic movie production, stereoscopic artifacts causing discomfort right up to headaches continue to appear even in high-budget movies.

In this study, the influence of geometric, color and temporal artifacts was examined.

Experiments

In a series of experiments, participants were asked to evaluate the level of discomfort while watching a specially prepared stereoscopic video. Over 300 people took part.

Experiment comparison

Experiment process

Discomfort level sorted by mean discomfort (red for high)

Here “C” is the color mismatch between stereoscopic views, “R” is the rotation mismatch, “T” is the temporal shift and “S” is the scale mismatch. The distortion intensity is indicated by numbers from 0 to 4, where 0 corresponds to the absence of distortion (the original scene was demonstrated).

To solve the problem of assessing the discomfort level, we used machine learning algorithms on the processed experimental data. More than 30,000 configurations were tested on the obtained stratified cross-validation dataset.

The best result was shown by a linear regression model with the Huber loss function and L2–regularization.

Results

The proposed models were applied to evaluate 60 stereoscopic movies.

The predicted level of discomfort that viewers may experience and the predicted percentage of viewers who will probably feel the discomfort while watching the analyzed movies are illustrated below:

Dataset

Downloads

IC3D Paper (2017)

Accepted version of the paper: Download

Dataset: Download

Reference

Citation A. Antsiferova, D. Vatolin. “The influence of 3D video artifacts on discomfort of 302 viewers”. 2017 IEEE International Conference on 3D Immersion (IC3D). pp. 1-8.

Bibtex

    @inproceedings{antsiferova2017influence,
    title={The influence of 3D video artifacts on discomfort of 302 viewers},
    author={Antsiferova, Anastasia and Vatolin, D},
    booktitle={2017 International Conference on 3D Immersion (IC3D)},
    pages={1--8},
    year={2017},
    organization={IEEE}
    }