Researcher
Video and Point Cloud Coding Group
email: mehlem@ient.rwth-aachen.de
phone: +49 (0) 241 80 27677
fax: +49 (0) 241 80 22196
Mon-Thu, 10:00 to 12:00 and 14:00 to 16:00, by appointment via Visiting Times.
Zoom / Room 31
Dominik Mehlem
Institut für Nachrichtentechnik
RWTH Aachen
D-52056 Aachen
My research at the institute focuses on point cloud coding/ point cloud compression. Part of this is the development of algorithms for efficient compression of point cloud data as well as the contributing to the standardization process of ISO/IEC Moving Pictures Experts Group (MPEG).
Currently, there are two different standards that are being developed by MPEG aiming at efficient point cloud compression. The video-based point cloud compression (V-PCC) standard projects the 3D point cloud onto a 2D surface/video and then utilizes a traditional video coder to compress these videos. The geometry-based point cloud compression (G-PCC) standard uses an octree-based approach to compress the geometry and codes the attributes based on the decoded geometry in a second step.
One prerequisite that was defined for V-PCC beforehand is that it is video coder agnostic. Currently, the HM HEVC coder implementation is used in the common text conditions (CTC) for the video-based coding part. I work on finding out how the currently developed Versatile Video Coding (VVC) standard, which is planned to be finished in late 2020, affects the behaviour and output of the coding process and the compression performance. Further, I take a look at the different coding tools of VVC and how they affect the coding performance on typical V-PCC video content.
In the context of G-PCC standardization I am working on inter-frame prediction. This means exploiting the information from already coded frames that can be used to predict the current frame. This way coding of the current frame becomes more efficient. One example for inter prediction of point clouds would be three dimensional motion compensation.
T. Meyer, D. Mehlem, and C. Rohlfing, “Adaptive entropy coding of graph transform coefficients for point cloud attribute compression,” in Visual Communications and Image Processing VCIP '23, (Jeju, South Korea), IEEE, Piscataway, Dec. 2023. [ bib | DOI | .pdf ]
T. Meyer, M. Meyer, D. Mehlem, and C. Rohlfing, “Attribute-aware partitioning for graph-based point cloud attribute coding,” in Proc. of International Picture Coding Symposium PCS '22, (San Jose, USA), pp. 121–125, IEEE, Piscataway, Dec. 2022. [ bib | DOI | .pdf ]
J. Schneider, D. Mehlem, M. Meyer, and C. Rohlfing, “Sparse Coding-based Intra Prediction in VVC,” in Picture Coding Symposium (PCS'21), (Bristol, UK), IEEE, Piscataway, June 2021. [ bib | .pdf ]
D. Mehlem and C. Rohlfing, “Versatile Video Coding for VPCC,” Doc. JVET-R0376, Joint Video Exploration Team (on Future Video coding) of ITU-T VCEG and ISO/IEC MPEG, Teleconference, online, Apr. 2020. [ bib | http ]
D. Mehlem and C. Rohlfing, “[V-PCC] Versatile Video Coding for VPCC,” Doc. m53510, ISO/IEC JTC1/SC29/WG11, Teleconference, online, Apr. 2020. [ bib | http ]
D. Graziosi, D. Mehlem, A. Tourapis, A. Tabatabai, K. Mammou, and J. Kim, “[V-PCC] (New) Effect of Geometry Smoothing Mismatch between Encoder and Decoder,” Doc. m51299, ISO/IEC JTC1/SC29/WG11, Geneva, CH, Oct. 2019. [ bib | http ]
D. Mehlem, A. Tourapis, J. Kim, K. Mammou, and D. Singer, “[V-PCC] Smoothing considerations for V-PCC,” Doc. m51023, ISO/IEC JTC1/SC29/WG11, Geneva, CH, Oct. 2019. [ bib | http ]
D. Mehlem, A. Tourapis, and D. Singer, “HDRTools: VTM software integration,” Doc. JVET-O0756, Joint Video Exploration Team (on Future Video coding) of ITU-T VCEG and ISO/IEC MPEG, Gothenburg, SE, July 2019. [ bib | http ]
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