Depth-Aware Stereo Video Retargeting

Bing Li, Chia-Wen Lin, Boxin Shi, Tiejun Huang, Wen Gao, C.-C. Jay Kuo; The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018, pp. 6517-6525

Abstract


As compared with traditional video retargeting, stereo video retargeting poses new challenges because stereo video contains the depth information of salient objects and its time dynamics. In this work, we propose a depth-aware stereo video retargeting method by imposing the depth fidelity constraint. The proposed depth-aware retargeting method reconstructs the 3D scene to obtain the depth information of salient objects. We cast it as a constrained optimization problem, where the total cost function includes the shape, temporal and depth distortions of salient objects. As a result, the solution can preserve the shape, temporal and depth fidelity of salient objects simultaneously. It is demonstrated by experimental results that the depth-aware retargeting method achieves higher retargeting quality and provides better user experience.

Related Material


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[bibtex]
@InProceedings{Li_2018_CVPR,
author = {Li, Bing and Lin, Chia-Wen and Shi, Boxin and Huang, Tiejun and Gao, Wen and Jay Kuo, C.-C.},
title = {Depth-Aware Stereo Video Retargeting},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}