Perceptual Refinement of an End-to-End Video Streaming Pipeline via Generative AI Layers
Traditional codecs treat every region of a frame alike; a generative layer can instead degrade the regions a viewer attends to least and reconstruct them at the client. We present PRESLEY, which extends the prior conference work ELVIS by replacing destructive block removal with adaptive in-place degradation under a removability mask, signaling per-block strength in a bit-packed side channel, and restoring via generative backbones conditioned on transmitted visual priors rather than unconditioned in-painting. We separate the problem into three goals: choosing which blocks to degrade, degrading them so the encoder spends fewer bits, and restoring them. Against its predecessor at matched rat...
| Authors | Emanuele Artioli, Farzad Tashtarian, Christian Timmerer |
|---|---|
| Primary category | eess.IV |
| Published | 16 September 2026 |
| Last updated at source | 16 September 2026 |
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