This paper, entitled, C3: High-performance and low-complexity neural compression from a single image or video, and authored by a team from Google DeepMind (Hyunjik Kim, Matthias Bauer, Lucas Theis, Jonathan Schwarz, and Emilien Dupont), introduces DeepMind C3, a neural compression method designed to deliver low decoding complexity while achieving competitive rate-distortion (RD) performance. The authors are recognized for their contributions …

The white paper, authored by researchers from the University of Science and Technology of China, introduces a novel approach to addressing the limitations of pre-trained learned image compression (LIC) models. These models, while effective within the domains they were trained on, often falter when applied to new, domain-specific data. To overcome this, the researchers propose lightweight adapters that allow efficient …

While researching my State of the Codec Market article for the 2025 Streaming Media Sourcebook, I stumbled upon an intriguing report from LexisNexis that sheds light on the patent ownership landscape for VVC and HEVC (link to report). For me, the report helped answer two critical questions: Will VVC be the next codec implemented on Smart TVs? Will AOMedia companies …