Effective and smooth video communication has become an integral tool for interaction in our modern society. The well-known WebRTC project is optimized for server-based communication architectures with less stringent latency requirements. This paper introduces an open-source, peer-to-peer (P2P) mesh-based application called uvgComm 1.0 for low-latency multi-party video communication. Our experimental results show that uvgComm attains 25% lower latency than server-based solutions at 219 ms. In addition, it offers advanced privacy protection mechanisms with end-to-end encryption and P2P mesh topology that delivers media without any media servers. The ambitious goal of uvgComm is to take P2P mesh-based conferencing architecture to the next level and make this architecture a serious competitor to server-based communication architectures.

Low-latency volumetric video transport is a key enabling technology for more immersive communication applications. This paper presents the latest release of our open-source Real-time Transport Protocol (RTP) library called uvgRTP 3.0 that has been upgraded to support Visual Volumetric Video-based Coding (V3C) transmission in Video-based Point Cloud Compression (V-PCC) and MPEG Immersive Video (MIV) formats. uvgRTP 3.0 introduces 1) the V3C atlas RTP payload format; 2) two multiplexing methods to reduce port reservations during V3C transmission; and 3) improved packet reception with multithreading. Our performance results show that uvgRTP 3.0 can encrypt and transmit V3C bitstreams at 106 Mbit/s, with CPU core utilization of 26%, and achieving a round-trip latency of 2 ms in a local area network. The support for high-speed, encrypted V3C communication with the permissive BSD-license make uvgRTP 3.0 a potential transmission library for any industrial or academic volumetric communication system.

This paper presents a demonstration setup for our open-source intra encoder called uvgVPCCenc, which is optimized for real-time Video-based Point Cloud Compression (V-PCC). uvgVPCCenc achieves an average encoding speed of 26 frames per second (fps) on an Intel i7-12700 CPU when encoding volumetric video sequences with up to 185 000 points per frame. It is shown to be 700 times as fast as TMC2 reference implementation for V-PCC. Our work is the first to demonstrate real-time intra V-PCC encoding on a consumer-grade desktop computer. It indicates that even the immense computational complexity of intra V-PCC encoding can be tackled for practical applications with effective design and optimization techniques.