Towards Robust And Practical Neural Video-Conferencing
Video conferencing systems suffer from poor user experience when network conditions deteriorate because current video codecs cannot operate at extremely low-bitrates or under lossy network conditions without frame corruption or video freezes. To tackle the low-bitrate problem, several neural alterna...
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Format: | Thesis |
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Massachusetts Institute of Technology
2024
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Online Access: | https://hdl.handle.net/1721.1/153826 https://orcid.org/0000-0001-8842-4497 |