The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.
3D High-Efficiency Video Coding for Multi-View Video and Depth Data
Abstract
This paper describes an extension of the high efficiency video coding (HEVC) standard for coding of multi-view video and depth data. In addition to the known concept of disparity-compensated prediction, inter-view motion parameter, and inter-view residual prediction for coding of the dependent video views are developed and integrated. Furthermore, for depth coding, new intra coding modes, a modified motion compensation and motion vector coding as well as the concept of motion parameter inheritance are part of the HEVC extension. A novel encoder control uses view synthesis optimization, which guarantees that high quality intermediate views can be generated based on the decoded data. The bitstream format supports the extraction of partial bitstreams, so that conventional 2D video, stereo video, and the full multi-view video plus depth format can be decoded from a single bitstream. Objective and subjective results are presented, demonstrating that the proposed approach provides 50% bit rate savings in comparison with HEVC simulcast and 20% in comparison with a straightforward multi-view extension of HEVC without the newly developed coding tools.
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 Mathematical Theory of Communication
Shannon, C. E. (1948) · Bell System Technical Journal · doi:10.1002/j.1538-7305.1948.tb01338.x · Cited by 88,486
Overview of the High Efficiency Video Coding (HEVC) Standard
Sullivan, G. J., Ohm, J.-R., Han, W.-J., & Wiegand, T. (2012) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2012.2221191 · Cited by 8,263
Self-citationA Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms
Scharstein, D., & Szeliski, R. (2002) · International Journal of Computer Vision · doi:10.1023/a:1014573219977 · Cited by 6,740
Calcuation of average PSNR differences between RD-curves
Bjøntegaard, G. (2001) · Medical Entomology and Zoology · Cited by 4,573
Rate-constrained coder control and comparison of video coding standards
Wiegand, T., Schwarz, H., Joch, A., Kossentini, F., & Sullivan, G. J. (2003) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2003.815168 · Cited by 3,146
Self-citationOhm, J.-R., Sullivan, G. J., Schwarz, H., Tan, T. K., & Wiegand, T. (2012) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2012.2221192 · Cited by 1,279
Self-citationOverview of the Stereo and Multiview Video Coding Extensions of the H.264/MPEG-4 AVC Standard
Vetro, A., Wiegand, T., & Sullivan, G. J. (2011) · Proceedings of the IEEE · doi:10.1109/jproc.2010.2098830 · Cited by 591
Self-citation3-D Video Representation Using Depth Maps
Muller, K., Merkle, P., & Wiegand, T. (2011) · Proceedings of the IEEE · doi:10.1109/jproc.2010.2091090 · Cited by 397
Self-citationNonlinear disparity mapping for stereoscopic 3D
Lang, M., Hornung, A., Wang, O., Poulakos, S., Smolic, A., & Gross, M. (2010) · ACM Transactions on Graphics · doi:10.1145/1778765.1778812 · Cited by 336
The effects of multiview depth video compression on multiview rendering
Merkle, P., Morvan, Y., Smolic, A., Farin, D., Müller, K., de With, P. H. N., & Wiegand, T. (2009) · Signal Processing: Image Communication · doi:10.1016/j.image.2008.10.010 · Cited by 254
Self-citation
Cited by
Application of region-based video surveillance in smart cities using deep learning
Zahra, A., Ghafoor, M., Munir, K., Ullah, A., & Ul Abideen, Z. (2021) · Multimedia Tools and Applications · doi:10.1007/s11042-021-11468-w · Cited by 53
Metadata
- Authors
- Müller, K., Schwarz, H., Marpe, D., Bartnik, C., Bosse, S., Brust, H., Hinz, T., Lakshman, H., Merkle, P., Rhee, F. H., Tech, G., Winken, M., & Wiegand, T.
- Venue
- IEEE Transactions on Image Processing
- Published
- 2013-09
- Volume
- 22
- Issue
- 9
- Pages
- 3366-3378
- ISSN
- 1057-7149 (ISSN-L)
- 1941-0042
- OpenAlex
- W2052635379
- Cited by
- 353
- References
- 18
- FWCI
- 82.01
- 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: 3D High-Efficiency Video Coding for Multi-View Video and Depth Data. https://app.cochat.ai/papers/10.1109/tip.2013.2264820
- The paper
- Müller, K., Schwarz, H., Marpe, D., Bartnik, C., Bosse, S., Brust, H., Hinz, T., Lakshman, H., Merkle, P., Rhee, F. H., Tech, G., Winken, M., & Wiegand, T. (2013). 3D High-Efficiency Video Coding for Multi-View Video and Depth Data. IEEE Transactions on Image Processing. https://doi.org/10.1109/tip.2013.2264820
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.