2022 Publications

Image, Video and Pointcloud Coding

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 ]

B. Bross, M. Wien, J.-R. Ohm, G. J. Sullivan, and Y. Ye, “Update on the emerging versatile video coding (VVC) standard and its applications,” MHV '22, (New York, NY, USA), pp. 124––125, Association for Computing Machinery, Mar. 2022. [ bib | DOI ]

J. Schneider, Sparse Signal Modeling in Video Coding, vol. 24 of Aachen Series on Multimedia and Communications Engineering. Aachen: Shaker Verlag, Jan. 2022. [ bib | .pdf ]

J. Sauer, Efficient Coding Tools for 360o Video, vol. 23 of Aachen Series on Multimedia and Communications Engineering. Aachen: Shaker Verlag, Jan. 2022. [ bib ]

Standardization Documents

Image and Video Analysis

A. Jose, D. Filbert, C. Rohlfing, and J.-R. Ohm, “Deep hashing with hash center update for efficient image retrieval,” in Proc. of IEEE International Conference on Acoustics, Speech and Signal Processing ICASSP '22, pp. 4773 – 4777, IEEE, Piscataway, May 2022. [ bib | DOI ]

A. Jose, Optimized feature space learning and binary hashing for image retrieval. Dissertation, Rheinisch-Westfälische Technische Hochschule Aachen, Aachen, Feb. 2022. [ bib | DOI | https ]

A. Jose, E. S. Ottlik, C. Rohlfing, and J.-R. Ohm, “Optimized feature space learning for generating efficient binary codes for image retrieval,” Signal Processing: Image Communication, vol. 100, p. 116529, Jan. 2022. [ bib | DOI ]

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