Warping-Based Stereoscopic 3D Video Retargeting With Depth Remapping

Due to the recent availability of different stereoscopic display devices and online 3D media resources (e.g. 3D movies), there is a growing demand for stereoscopic video retargeting that can automatically resize a given stereoscopic video to fit the target display device. In this paper, we propose a...

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Bibliographic Details
Published in2019 IEEE Winter Conference on Applications of Computer Vision (WACV) pp. 1655 - 1663
Main Authors Islam, Md Baharul, Wong, Lai-Kuan, Low, Kok-Lim, Wong, Chee Onn
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.01.2019
Subjects
Distortion
Fatigue
Media
Optimization
Stereo image processing
Three-dimensional displays
Visualization
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Summary:Due to the recent availability of different stereoscopic display devices and online 3D media resources (e.g. 3D movies), there is a growing demand for stereoscopic video retargeting that can automatically resize a given stereoscopic video to fit the target display device. In this paper, we propose a warping-based approach that can simultaneously resize and remap the depth of a stereoscopic video to produce a better 3D viewing experience. Firstly, our method computes the significance map for each stereo video frame. It then performs volume warping using non-homogeneous scaling optimization to resize the stereoscopic video. A depth remapping constraint is used to remap the depth and a constraint is applied to preserve the significant content during warping process. Experimental results demonstrate the effectiveness of our method in preserving the significant content, ensuring motion consistency, and enhancing the depth perception of the retargeted video sequences within the comfort depth range.
DOI:10.1109/WACV.2019.00181