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Cited by 353

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

Müller, Karsten, Schwarz, Heiko, Marpe, Detlev, Bartnik, Christian, Bosse, Sebastian, Brust, Heribert, Hinz, Tobias, Lakshman, Haricharan, Merkle, Philipp, Rhee, Franz Hunn, Tech, Gerhard, Winken, Martin, Wiegand, Thomas·2013·IEEE Transactions on Image Processing

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.

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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

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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

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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.