Recent Posts

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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Comparing Fixed GOPs to Variable GOPs with I-Frames at Scene Changes

I first encountered the line, “Anything worth doing is worth overdoing,” in the Robert Heinlein novel Time Enough for Love. I bring this up because this is my third recent article on GOP size, and I think I’m close to beating this topic into the ground. I’ll let you be the judge. To recount, I reported on testing in an …

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