Realizing the potential of neural video codecs on mobile devices is a big technological challenge due to the computational complexity of deep networks and the power-constrained mobile hardware. We demonstrate practical feasibility by leveraging Qualcomm's technology and innovation, bridging the gap from neural network-based codec simulations running on wall-powered workstations, to real-time operation on a mobile device powered by Snapdragon technology. We show the first-ever inter-frame neural video decoder running on a commercial mobile phone, decoding high-definition videos in real-time while maintaining a low bitrate and high visual quality.
Cite
@article{arxiv.2207.08338,
title = {MobileCodec: Neural Inter-frame Video Compression on Mobile Devices},
author = {Hoang Le and Liang Zhang and Amir Said and Guillaume Sautiere and Yang Yang and Pranav Shrestha and Fei Yin and Reza Pourreza and Auke Wiggers},
journal= {arXiv preprint arXiv:2207.08338},
year = {2022}
}