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Conditional Coding and Variable Bitrate for Practical Learned Video Coding

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arxiv 2104.09103 v2 pith:EEQK3ICY submitted 2021-04-19 cs.NE eess.IVeess.SP

Théo Ladune (IETR) , Pierrick Philippe , Wassim Hamidouche (IETR) , Lu Zhang (IETR) , Olivier Déforges (IETR) This is my paper · ORCID
classification cs.NEeess.IVeess.SP
keywords videocodingbitrateconditionalflexibilitylearnedpracticaltest
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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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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Real-Time Neural Video Compression with Unified Intra and Inter Coding

    cs.CV 2025-10 conditional novelty 6.0 of 10

    UI2C unifies intra and inter coding in one neural video codec and jointly encodes frame pairs, beating DCVC-RT by 12.1% BD-rate while keeping real-time speed.

  2. Augmented Deep Contexts for Spatially Embedded Video Coding

    eess.IV 2025-05 conditional novelty 6.0 of 10

    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.

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