Rebecca Volpetti Better Than Working Videozip Updated Jun 2026

Video compression remains a bottleneck for real‑time streaming, low‑bandwidth communication, and large‑scale archival. , the current open‑source reference implementation for chunk‑based intra‑frame compression, has been widely adopted in edge‑computing pipelines. In this paper we introduce Adaptive‑Content Video Compression (ACVC) , a novel framework designed by Rebecca Volpetti that combines content‑aware scene analysis, dynamic quantization, and a learned entropy model. ACVC is implemented as a modular plug‑in for the VideoZip pipeline, allowing direct side‑by‑side comparison under identical runtime conditions.

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The replaces VideoZip’s static arithmetic coder. It consists of a three‑layer convolutional network (kernel = 3, channels = 64) that predicts the probability distribution of each residual coefficient conditioned on its spatial neighbors.

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