Acknowledgement
This work was supported by the Institute of Information & Communications Technology Planning & Evaluation (IITP) grant funded by the Korea government (MSIT) (No. 2018-0-00207, Immersive Media Research Laboratory).
References
- M. Domanski, O. Stankiewicz, K. Wegner, and T. Grajek, Immersive visual media-MPEG-I: 360 video, virtual navigation and beyond, in Proc. Int. Conf. Syst., Signals Image Process. (Poznan, Poland), July 2017, pp. 1-9.
- A. Doumanoglou, D. Griffin, J. Serrano, N. Zioulis, T. K. Phan, D. Jimenez, D. Zarpalas, F. Alvarez, M. Rio, and P. Daras, Quality of experience for 3-D immersive media streaming, IEEE Trans. Broadcast 64 (2018), no. 2, 379-391. https://doi.org/10.1109/tbc.2018.2823909
- M. Tanimoto, FTV (free-viewpoint TV), in Proc. IEEE Int. Conf. Image Process. (Hong Kong), Sept. 2010, pp. 2393-2396.
- A. Schenkel, D. Bonatto, S. Fachada, H. L. Guillaume, and G. Lafruit, Natural scenes datasets for exploration in 6DoF navigation, in Proc. Int. Conf. 3D Immersion (Brussels, Belgium) Dec. 2018, pp. 1-8.
- O. Stankiewicz, M. Domanski, A. Dziembowski, A. Grzelka, D. Mieloch, and J. Samelak, A free-viewpoint television system for horizontal virtual navigation, IEEE T. Mult. 20 (2018), no. 8, 2182-2195. https://doi.org/10.1109/tmm.2018.2790162
- P. Goorts, M. Dumont, S. Rogmans, and P. Bekaert, An end-to-end system for free viewpoint video for smooth camera transitions, in Proc. Int. Conf. 3D Imaging (Liege, Belgium), Dec. 2012, pp. 1-7.
- D. Mieloch, O. Stankiewicz, and M. Domanski, Depth map estimation for free-viewpoint television and virtual navigation, IEEE Access 8 (2020), 5760-5776. https://doi.org/10.1109/access.2019.2963487
- G. Lafruit, D. Bonatto, C. Tulvan, M. Preda, and L. Yu, Understanding MPEG-I coding standardization in immersive VR/AR applications, SMPTE Motion Imaging J. 128 (2019), no. 10, 33-39.
- J. M. Boyce, R. Dore, A. Dziembowski, J. Fleureau, J. Jung, B. Kroon, B. Salahieh, V. K. Vadakital, and L. Yu, MPEG immersive video coding standard, Proc. IEEE 109 (2021), no. 9, 1521-1536. https://doi.org/10.1109/JPROC.2021.3062590
- B. Salahieh, and J. Boyce, MIV geometry absent, ISO/IEC JTC1/SC29/WG4 MPEG2020/M54874, Online. 2020.
- K. Muller, P. Merkle, and T. Wiegand, 3-D video representation using depth maps, Proc. IEEE 99 (2011), no. 4, 643-656. https://doi.org/10.1109/JPROC.2010.2091090
- P. Garus, F. Henry, J. Jung, T. Maugey, and C. Guillemot, Immersive video coding: should geometry information be transmitted as depth maps? IEEE Trans. Circuits Syst. Video Technol. (2021). https://doi.org/10.1109/TCSVT.2021.3100006
- P. Garus, J. Jung, T. Maugey, and C. Guillemot, Bypassing depth maps transmission for immersive video coding, in Proc. 2019 Picture Coding Symp. (Ningbo, China), 2019. https://doi.org/10.1109/PCS48520.2019.8954543
- H. Laga, L. V. Jospin, F. Boussaid, and M. Bennamoun, A survey on deep learning techniques for stereo-based depth estimation, IEEE Trans. Pattern. Anal. Machine Intell. (2020). https://doi.org/10.1109/TPAMI.2020.3032602
- A. Dziembowski, M. Domanski, A. Grzelka, D. Mieloch, J. Stankowski, and K. Wegner, The influence of a lossy compression on the quality of estimated depth maps, in Proc. Int. Conf. Syst. Image Process. (Bratislava, Slovakia), 2016. https://doi.org/10.1109/IWSSIP.2016.7502730
- D. Mieloch, D. Kloska, and M. Wozniak, Point-to-block matching in depth estimation, in Proc. Int. Conf. Central Eur. Comput. Graph., Visualization Computer Vision, 2021, pp. 153-144
- X. He, Q. Liu, and Y. Yang, MV-GNN: multi-view graph neural network for compression artifacts reduction, IEEE Trans. Image Proc. 29 (2020), 6829-6840. https://doi.org/10.1109/tip.2020.2994412
- S. Chen, Q. Liu, and Y. Yang, Adaptive multi-modality residual network for compression distorted multi-view depth video enhancement, IEEE Access 8 (2020) 97072-97081. https://doi.org/10.1109/access.2020.2996258
- D. Mieloch, A. Dziembowski, and M. Domanski, Depth map refinement for immersive video, IEEE Access 9 (2021) 10778-10788. https://doi.org/10.1109/ACCESS.2021.3050554
- B. Szydelko, D. Mieloch, A. Dziembowski, G. Lee, and J. Y. Jeong, Rectangular blocks in encoder-derived features for decoder-side depth estimation, ISO/IEC JTC1/SC29/WG4 MPEG2021/M56335, Online, 2021.
- G. Clare, P. Garus, F. Henry, B. Szydelko, D. Mieloch, A. Dziembowski, M. Domanski, G. Lee, and J. Y. Jeong, [MIV] Combination of m56626 and m56335 for Geometry Assistance SEI message, ISO/IEC JTC1/SC29/WG4 MPEG2021/M56950, Online, 2021.
- O. Stankiewicz, G. Lafruit, and M. Domanski, Chapter 1 - Multiview video: Acquisition, processing, compression and virtual view rendering, in Academic Press Library in Signal Processing, Academic Press, 2018, pp. 3-74. https://doi.org/10.1016/B978-0-12-811889-4.00001-4
- Common Test Conditions for MPEG Immersive Video, ISO/IEC JTC1/SC29/WG4 MPEG2021/N0085, Online, 2021.
- Test Model 9 for MPEG Immersive Video, ISO/IEC JTC1/SC29/WG4 MPEG2021/N0084, Online, 2021.
- A. Hornbarg, Handbook of Machine Vision, Wiley, 2007, pp. 46-47. https://doi.org/10.1002/9783527610136
- Manual of IVDE 3.0, ISO/IEC JTC1/SC29/WG4 MPEG2020/N0058, Online, 2021.
- G. Clare, P. Garus, and F. Henry, [MIV] Geometry Assistance SEI message, ISO/IEC JTC1/SC29/WG4 MPEG2021/M56626, Online, 2021.
- Text of ISO/IEC FDIS 23090-12 MPEG Immersive Video, ISO/IEC JTC1/SC29/WG4 MPEG2021/N0111, Online, 2021.
- R. Achanta and S. Susstrunk, Superpixels and Polygons using simple non-iterative clustering, in Proc. IEEE Conf. Comput. Vision Pattern Recogn. (Honolulu, HI, USA), July 2017, pp. 4895-4904. https://doi.org/10.1109/CVPR.2017.520