TR2011-003
Depth Coding Using a Boundary Reconstruction Filter for 3-D Video Systems
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- "Depth Coding Using a Boundary Reconstruction Filter for 3-D Video Systems", IEEE Transactions on Circuits and Systems for Video Technology, Vol. 21, No. 3, pp. 350, March 2011.BibTeX TR2011-003 PDF
- @article{Oh2011mar,
- author = {Oh, K.-J. and Vetro, A. and Ho, Y.-S.},
- title = {Depth Coding Using a Boundary Reconstruction Filter for 3-D Video Systems},
- journal = {IEEE Transactions on Circuits and Systems for Video Technology},
- year = 2011,
- volume = 21,
- number = 3,
- pages = 350,
- month = mar,
- issn = {1051-8215},
- url = {https://www.merl.com/publications/TR2011-003}
- }
,
- "Depth Coding Using a Boundary Reconstruction Filter for 3-D Video Systems", IEEE Transactions on Circuits and Systems for Video Technology, Vol. 21, No. 3, pp. 350, March 2011.
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MERL Contact:
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Research Area:
Digital Video
Abstract:
A depth image is three-dimensional (3D) information used for virtual view synthesis in 3D video system. In depth coding, the object boundaries are hard to compress and severely affect the rendering quality since they are sensitive to coding errors. In this paper, we propose a depth boundary reconstruction filter and utilize it as an in-loop filter to code the depth video. The proposed depth boundary reconstruction filter is designed considering occurrence frequency, similarity, and closeness of pixels. Experimental results demonstrate that the proposed depth boundary reconstruction filter is useful for efficient depth coding as well as high-quality 3D rendering.
Related News & Events
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NEWS IEEE Transactions on Circuits and Systems for Video Technology: publication by Anthony Vetro and others Date: March 22, 2011
Where: IEEE Transactions on Circuits and Systems for Video Technology
MERL Contact: Anthony Vetro
Research Area: Digital VideoBrief- The article "Depth Coding Using a Boundary Reconstruction Filter for 3-D Video Systems" by Oh, K.-J., Vetro, A. and Ho, Y.-S. was published in IEEE Transactions on Circuits and Systems for Video Technology.