Adeia received 2 granted patents in H1 2026, distributed across Cloud Gaming (1) and AI & Machine Learning (1).
The Cloud Gaming patent covers adaptive video compression technology that dynamically adjusts quality during scene changes to prevent lag spikes in streams over fluctuating networks. In AI & Machine Learning, Adeia's patent describes a system that recommends Esports and gaming video-on-demand content based on pre-game, in-game, and post-game performance metrics rather than conventional ratings or watch history.
1 Cloud Gaming patent addresses the challenge of maintaining stream quality when network conditions shift unexpectedly. The system creates a feedback loop between the encoder and the rate controller, allowing it to estimate how much bandwidth a segment will need before it is sent, then compare that against available network capacity. When a scene transition threatens to produce an oversized frame, the system adjusts quantization parameters or splits the frame differently, avoiding the kind of disruptive refresh requests that interrupt a cloud gaming session.
The 1 AI & Machine Learning patent takes a structured, phase-by-phase approach to recommending Esports and gaming video-on-demand content. Rather than surfacing videos based on team popularity or a viewer's past watch history, the system evaluates content through 3 sequential filters tied to pre-game expectations, in-game performance, and post-game statistics. A video only clears the recommendation threshold if the on-field performance holds up across all 3 phases, removing the influence of reputation or prior ratings from the process entirely.
All data sourced from USPTO patent filings. Google Patents may take several weeks to index recent publications. If a link is unavailable, search for the patent number at USPTO Patent Public Search.