Depth-Aware Stereo Video Retargeting

Bing Li, Chia Wen Lin, Boxin Shi, Tiejun Huang, Wen Gao, C. C.Jay Kuo

Research output: Chapter in Book/Report/Conference proceedingConference contribution

29 Scopus citations

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.
Original languageEnglish (US)
Title of host publicationProceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
PublisherIEEE Computer [email protected]
Pages6517-6525
Number of pages9
ISBN (Print)9781538664209
DOIs
StatePublished - Dec 14 2018
Externally publishedYes

Bibliographical note

Generated from Scopus record by KAUST IRTS on 2023-10-22

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