SEVC augments a temporal neural video codec with low-resolution spatial references, motion-feature co-augmentation, and a spatial-guided latent prior, achieving about 11.9% more bitrate saving than DCVC-FM.
Conditional Coding and Variable Bitrate for Practical Learned Video Coding
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abstract
This paper introduces a practical learned video codec. Conditional coding and quantization gain vectors are used to provide flexibility to a single encoder/decoder pair, which is able to compress video sequences at a variable bitrate. The flexibility is leveraged at test time by choosing the rate and GOP structure to optimize a rate-distortion cost. Using the CLIC21 video test conditions, the proposed approach shows performance on par with HEVC.
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Augmented Deep Contexts for Spatially Embedded Video Coding
SEVC augments a temporal neural video codec with low-resolution spatial references, motion-feature co-augmentation, and a spatial-guided latent prior, achieving about 11.9% more bitrate saving than DCVC-FM.