Web: http://arxiv.org/abs/2209.10507

Sept. 23, 2022, 1:15 a.m. | Vibhaalakshmi Sivaraman, Pantea Karimi, Vedantha Venkatapathy, Mehrdad Khani, Sadjad Fouladi, Mohammad Alizadeh, Frédo Durand, Vivienne Sze

cs.CV updates on arXiv.org arxiv.org

Video conferencing systems suffer from poor user experience when network
conditions deteriorate because current video codecs simply cannot operate at
extremely low bitrates. Recently, several neural alternatives have been
proposed that reconstruct talking head videos at very low bitrates using sparse
representations of each frame such as facial landmark information. However,
these approaches produce poor reconstructions in scenarios with major movement
or occlusions over the course of a call, and do not scale to higher
resolutions. We design Gemino, a …

arxiv compression neural compression video video conferencing

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