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Deep Multi-modality Soft-decoding of Very Low...
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Deep Multi-modality Soft-decoding of Very Low Bit-rate Face Videos

Abstract

We propose a novel deep multi-modality neural network for restoring very low bit rate videos of talking heads. Such video contents are very common in social media, teleconferencing, distance education, tele-medicine, etc., and often need to be transmitted with limited bandwidth. The proposed CNN method exploits the correlations among three modalities, video, audio and emotion state of the speaker, to remove the video compression artifacts …

Authors

Guo Y; Zhang X; Wu X

Pagination

pp. 3947-3955

Publisher

Association for Computing Machinery (ACM)

Publication Date

October 12, 2020

DOI

10.1145/3394171.3413709

Name of conference

Proceedings of the 28th ACM International Conference on Multimedia