Recent Posts

VMAF, SSIM, and Color Spaces: Getting the Metrics Right

So there I was, having dinner on a Saturday night date night with my wife… And in comes a text: “Hi Jan, I was wondering when you compute SSIM, do you use a single channel or multi-channel? And if multi-channel, then anything different than averaging the three?” (And yes, anyone with children, even grown children, checks incoming texts on a …

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DCVC-B: A New Deep Learning Codec for Efficient B-Frame Compression

In a recent white paper titled Bi-Directional Deep Contextual Video Compression (DCVC-B), researchers Xihua Sheng, Li Li, Dong Liu, and Shiqi Wang proposed a new approach to enhancing B-frame compression for video encoding. The authors assert that their scheme “achieves an average reduction of 26.6% in BD-Rate compared to the reference software for H.265/HEVC under random access conditions” and even …

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M3-CVC: A Glimpse into the Future of AI-Driven Video Compression

A new AI-based codec proved 18% more efficient than VVC but substantial decoding requirements will limit short-term commercial application. Here’s a summary of the white paper.  In December 2024, researchers from Fudan University introduced M3-CVC, an AI-based video compression framework that combines large multimodal models (LMMs) for semantic understanding and conditional diffusion models (CDMs) for high-fidelity reconstruction. The framework employs …

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