The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
High-quality video view interpolation using a layered representation
Abstract
The ability to interactively control viewpoint while watching a video is an exciting application of image-based rendering. The goal of our work is to render dynamic scenes with interactive viewpoint control using a relatively small number of video cameras. In this paper, we show how high-quality video-based rendering of dynamic scenes can be accomplished using multiple synchronized video streams combined with novel image-based modeling and rendering algorithms. Once these video streams have been processed, we can synthesize any intermediate view between cameras at any time, with the potential for space-time manipulation.In our approach, we first use a novel color segmentation-based stereo algorithm to generate high-quality photoconsistent correspondences across all camera views. Mattes for areas near depth discontinuities are then automatically extracted to reduce artifacts during view synthesis. Finally, a novel temporal two-layer compressed representation that handles matting is developed for rendering at interactive rates.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
A flexible new technique for camera calibration
Zhang, Z. (2000) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.888718 · Cited by 15,004
Research works printed but not linked: 36
- 10.5555/794191.794727 · doi:10.5555/794191.794727
- 10.1145/383259.383309 · DOI · Paper page
- Carceroni, R. L., and Kutulakos, K. N. 2001. Multi-view scene capture by surfel sampling: From video streams to non-rigid 3D motion, shape and reflectance. In International Conference on Computer Vision (ICCV), vol. II, 60--67.
- 10.1145/882262.882309 · DOI · Paper page
- 10.1117/12.509883 · doi:10.1117/12.509883
- Chuang, Y.-Y., et al. 2001. A Bayesian approach to digital matting. In Conference on Computer Vision and Pattern Recognition (CVPR), vol. II, 264--271.
- 10.1145/566654.566572 · DOI
- Debevec P. E. Taylor C. J. and Malik J. 1996. Modeling and rendering architecture from photographs: A hybrid geometry-and image-based approach. Computer Graphics (SIGGRAPH'96) 11--20. 10.1145/237170.237191 · DOI · Paper page
- Debevec, P. E., Yu, Y., and Borshukov, G. D. 1998. Efficient view-dependent image-based rendering with projective texture-mapping. Eurographics Rendering Workshop 1998, 105--116.
- 10.5555/946247.946764 · doi:10.5555/946247.946764
- Goldlücke, B., Magnor, M., and Wilburn, B. 2002. Hardware-accelerated dynamic light field rendering. In Proceedings Vision, Modeling and Visualization VMV 2002, 455--462.
- Gortler S. J. Grzeszczuk R. Szeliski R. and Cohen M. F. 1996. The Lumigraph. In Computer Graphics (SIGGRAPH'96) Proceedings ACM SIGGRAPH 43--54. 10.1145/237170.237200 · DOI · Paper page
- 10.1145/882262.882350 · DOI · Paper page
- Hall-Holt, O., and Rusinkiewicz, S. 2001. Stripe boundary codes for real-time structured-light range scanning of moving objects. In International Conference on Computer Vision (ICCV), vol. II, 359--366.
- 10.5555/648284.755760 · doi:10.5555/648284.755760
- 10.1109/93.580394 · DOI · Paper page
- Levoy M. and Hanrahan P. 1996. Light field rendering. In Computer Graphics (SIGGRAPH'96) Proceedings ACM SIGGRAPH 31--42. 10.1145/237170.237199 · DOI · Paper page
- 10.1145/344779.344951 · DOI · Paper page
- 10.1109/34.910886 · DOI
- 10.1109/34.56205 · DOI · Paper page
- 10.5555/647651.732115 · doi:10.5555/647651.732115
- 10.1023/A:1014573219977 · DOI · Paper page
- 10.1111/1467-8659.00509 · DOI
- 10.5555/794189.794361 · doi:10.5555/794189.794361
- Shade J. Gortler S. He L.-W. and Szeliski R. 1998. Layered depth images. In Computer Graphics (SIGGRAPH'98) Proceedings ACM SIGGRAPH 231--242. 10.1145/280814.280882 · DOI · Paper page
- 10.1023/A:1008192912624 · DOI · Paper page
- Tao, H., Sawhney, H., and Kumar, R. 2001. A global matching framework for stereo computation. In International Conference on Computer Vision (ICCV), vol. I, 532--539.
- 10.5555/1965841.1965933 · doi:10.5555/1965841.1965933
- Vedula, S., Baker, S., Seitz, S., and Kanade, T. 2000. Shape and motion carving in 6D. In Conference on Computer Vision and Pattern Recognition (CVPR), vol. II, 592--598.
- Wang, J. Y. A., and Adelson, E. H. 1993. Layered representation for motion analysis. In Conference on Computer Vision and Pattern Recognition (CVPR), 361--366.
- 10.5555/645317.649317 · doi:10.5555/645317.649317
- Wilburn, B., Smulski, M., Lee, H. H. K., and Horowitz, M. 2002. The light field video camera. In SPIE Electonic Imaging: Media Processors, vol. 4674, 29--36.
- 10.5555/581896.581907 · doi:10.5555/581896.581907
- 10.5555/826030.826631 · doi:10.5555/826030.826631
- Zhang, Y., and Kambhamettu, C. 2001. On 3D scene flow and structure estimation. In Conference on Computer Vision and Pattern Recognition (CVPR), vol. II, 778--785.
- Zhang, L., Curless, B., and Seitz, S. M. 2003. Spacetime stereo: Shape recovery for dynamic scenes. In Conference on Computer Vision and Pattern Recognition, 367--374.
Cited by
Unsupervised Learning of Depth and Ego-Motion from Video
Zhou, T., Brown, M., Snavely, N., & Lowe, D. G. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2017.700 · Cited by 2,910
A Comparison and Evaluation of Multi-View Stereo Reconstruction Algorithms
Seitz, S. M., Curless, B., Diebel, J., Scharstein, D., & Szeliski, R. (2006) · 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1 (CVPR'06) · doi:10.1109/cvpr.2006.19 · Cited by 2,457
Self-citationA Database and Evaluation Methodology for Optical Flow
Baker, S., Scharstein, D., Lewis, J. P., Roth, S., Black, M. J., & Szeliski, R. (2011) · International Journal of Computer Vision · doi:10.1007/s11263-010-0390-2 · Cited by 2,205
Self-citationEvaluation of Cost Functions for Stereo Matching
Hirschmuller, H., & Scharstein, D. (2007) · 2007 IEEE Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2007.383248 · Cited by 1,122
A Database and Evaluation Methodology for Optical Flow
Baker, S., Roth, S., Scharstein, D., Black, M. J., Lewis, J. P., & Szeliski, R. (2007) · 2007 IEEE 11th International Conference on Computer Vision · doi:10.1109/iccv.2007.4408903 · Cited by 618
Self-citation
Metadata
- Authors
- Zitnick, C. L., Kang, S. B., Uyttendaele, M., Winder, S., & Szeliski, R.
- Venue
- ACM Transactions on Graphics
- Published
- 2004-08
- Volume
- 23
- Issue
- 3
- Pages
- 600-608
- ISSN
- 0730-0301 (ISSN-L)
- 1557-7368
- OpenAlex
- W2119781527
- Cited by
- 1,385
- References
- 1
- FWCI
- 69.97
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: High-quality video view interpolation using a layered representation. https://app.cochat.ai/papers/10.1145/1015706.1015766
- The paper
- Zitnick, C. L., Kang, S. B., Uyttendaele, M., Winder, S., & Szeliski, R. (2004). High-quality video view interpolation using a layered representation. ACM Transactions on Graphics. https://doi.org/10.1145/1015706.1015766
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
