Translator Disclaimer
4 November 2014 A semi-automatic 2D-to-3D video conversion with adaptive key-frame selection
Author Affiliations +
To compensate the deficit of 3D content, 2D to 3D video conversion (2D-to-3D) has recently attracted more attention from both industrial and academic communities. The semi-automatic 2D-to-3D conversion which estimates corresponding depth of non-key-frames through key-frames is more desirable owing to its advantage of balancing labor cost and 3D effects. The location of key-frames plays a role on quality of depth propagation. This paper proposes a semi-automatic 2D-to-3D scheme with adaptive key-frame selection to keep temporal continuity more reliable and reduce the depth propagation errors caused by occlusion. The potential key-frames would be localized in terms of clustered color variation and motion intensity. The distance of key-frame interval is also taken into account to keep the accumulated propagation errors under control and guarantee minimal user interaction. Once their depth maps are aligned with user interaction, the non-key-frames depth maps would be automatically propagated by shifted bilateral filtering. Considering that depth of objects may change due to the objects motion or camera zoom in/out effect, a bi-directional depth propagation scheme is adopted where a non-key frame is interpolated from two adjacent key frames. The experimental results show that the proposed scheme has better performance than existing 2D-to-3D scheme with fixed key-frame interval.
© (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Kuanyu Ju and Hongkai Xiong "A semi-automatic 2D-to-3D video conversion with adaptive key-frame selection", Proc. SPIE 9273, Optoelectronic Imaging and Multimedia Technology III, 92730M (4 November 2014);


Efficient view synthesis from uncalibrated stereo
Proceedings of SPIE (January 30 2006)
Hybrid depth cueing for 2D-to-3D conversion system
Proceedings of SPIE (February 17 2009)
Predictive video decoding using GME and motion reliability
Proceedings of SPIE (September 24 2011)
Analysis of unstructured video based on camera motion
Proceedings of SPIE (January 29 2007)

Back to Top