Virtual Reality and Immersive Media

Providing mechanisms for monitoring and modeling user affinity and engagement to real-time events (performances, lectures) and to shared media.

Funding

Open Source Projects

  • MP3DG: development framework for point cloud compression algorithms

Publications

  • R. Mekuria, K. Blom, and P. Cesar Design, Implementation and Evaluation of a Point Cloud Codec for Tele-Immersive Video. IEEE Transactions on Circuits and Systems for Video Technology, 27(4): pp. 828 -842, 2017.
  • R. Mekuria and P. Cesar MP3DG-PCC, Open Source Software Framework for Implementation and Evaluation of Point Cloud Compression. In Proceedings of the ACM Multimedia Conference (ACM MM 2016), Amsterdam, the Netherlands, 2016, pp. 1222-1226.
  • F. Kuijk, K.C. Apostolakis, P. Daras, B. Ravenet, H. Wei, and D.S. Monaghan Autonomous agents and avatars in REVERIE's virtual environment. In Proceedings of the 20th International Conference on 3D Web Technology (Web3D'15), New York, NY, USA, 2015, pp. 279-287.
  • R. Mekuria, P. Cesar, and D.C.A. Bulterman Low Complexity Connectivity Driven Dynamic Geometry Compression for 3D Tele-Immersion. In Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (IEEE ICASSP 2014), Florence, Italy, 2014, pp. 6162-6166.
  • R. Mekuria, M. Sanna, E. Izquierdo, D.C.A. Bulterman, and P. Cesar Enabling 3D Tele-Immersion with Live Reconstructed Mesh Geometry with Fast Mesh Compression and Linear Rateless Coding. IEEE Transactions on Multimedia (TMM), 16(7): pp. 1809-1820, 2014.
  • Best Paper on 3D Technology in Multimedia
    R. Mekuria, M. Sanna, S. Asioli, E. Izquierdo, D.C.A. Bulterman, and P. Cesar A 3D Tele-Immersion system based on live captured mesh geometry. In Proceedings of the ACM Multimedia Systems conference (ACM MMSys 2013), Oslo, Norway, 2013, pp. 24-35.

Theses

  • Rufael Mekuria, Network Streaming and Compression for Mixed Reality Tele-Immersion, VU Amsterdam, Netherlands, January 2017

Standards

  • MPEG-4. 3D Graphics Compression ModelĀ