Low Bit Rate Video Coding using VVC and DCVC-DC for River Surveillance

In this work, a video communication system to encode river video at a low bit rate is proposed. In the proposed system, a semantic segmantation is performed to organize the coding priority of each segment. Then, by setting an appropriate Quantization Parameter (QP) map for each region with VVenC which is the latest video codec of VVC, a low bitrate coding is achieved. We also compare the encoding performance with the latest Neural Video Codec (NVC), namely, DCVC-DC. The simulation results show that the proposed method with VVenC achieves ultra-low bit coding. Although the current version of DCVC-DC could not achieve ultra-low bit coding, the coding efficiency shows higher performance than that using VVenC in a wide range of bit rate.