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Standardizing Generative Face Video Compression using Supplemental Enhancement Information

Autor: Chen, Bolin, Ye, Yan, Chen, Jie, Liao, Ru-Ling, Yin, Shanzhi, Wang, Shiqi, Yang, Kaifa, Li, Yue, Xu, Yiling, Wang, Ye-Kui, Gehlot, Shiv, Su, Guan-Ming, Yin, Peng, McCarthy, Sean, Sullivan, Gary J.

This paper proposes a Generative Face Video Compression (GFVC) approach using Supplemental Enhancement Information (SEI), where a series of compact spatial and temporal representations of a face video signal (i.e., 2D/3D key-points, facial semantics

Externí odkaz: http://arxiv.org/abs/2410.15105

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StreamOptix: A Cross-layer Adaptive Video Delivery Scheme

Autor: Liu, Mufan, Yang, Le, Wang, Yifan, Xu, Yiling, Wang, Ye-Kui, Guan, Yunfeng

This paper presents a cross-layer video delivery scheme, StreamOptix, and proposes a joint optimization algorithm for video delivery that leverages the characteristics of the physical (PHY), medium access control (MAC), and application (APP) layers.

Externí odkaz: http://arxiv.org/abs/2406.04632

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EVAN: Evolutional Video Streaming Adaptation via Neural Representation

Autor: Liu, Mufan, Yang, Le, Xu, Yiling, Wang, Ye-kui, Hwang, Jenq-Neng

Adaptive bitrate (ABR) using conventional codecs cannot further modify the bitrate once a decision has been made, exhibiting limited adaptation capability. This may result in either overly conservative or overly aggressive bitrate selection, which co

Externí odkaz: http://arxiv.org/abs/2406.02557

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