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Codebook Capacity Dominates Video Compression Quality Over Resolution

Researchers have found that codebook capacity, rather than spatial resolution, is the primary factor influencing perceptual quality in hierarchical discrete video compression. An empirical study using MS-VQ-VAE models across various codebook sizes and resolutions demonstrated that increasing codebook capacity significantly improved quality, while changes in spatial resolution had a negligible impact. The models also showed superior performance compared to H.264 and H.265 codecs in terms of perceptual quality at matched or lower bitrates, suggesting that codebook size is a more critical design variable for scalable discrete tokenizers in generative video models. AI

IMPACT Suggests codebook size is a key design variable for scalable discrete tokenizers in generative video models.

RANK_REASON Academic paper detailing a new finding in video compression. [lever_c_demoted from research: ic=1 ai=0.7]

Read on arXiv cs.CV →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Codebook Capacity Dominates Video Compression Quality Over Resolution

COVERAGE [1]

  1. arXiv cs.CV TIER_1 English(EN) · Manikanta Kotthapalli, Banafsheh Rekabdar ·

    Codebook Capacity Governs Perceptual Quality Across Resolutions in Hierarchical Discrete Video Compression

    arXiv:2607.23366v1 Announce Type: cross Abstract: Learned video codecs based on continuous latent representations typically require resolution-specific retraining or rate-distortion (RD) recalibration when scaling to new spatial resolutions, because entropy models and Lagrangian …