Kuaishou's H.266 Video Decoding Innovation Secures Prestigious National Patent Honor

Deep News
09/03

The National Intellectual Property Administration recently unveiled the results for the 26th China Patent Awards, with a breakthrough invention from Kuaishou's affiliate, Beijing Dajia Internet Information Technology Co., Ltd., claiming a Silver Award for its patented method, device, and storage medium designed for video decoding.

This recognition marks the highest achievement for an H.266/VVC international standard essential patent in the history of the China Patent Awards. The patented technology targets the triangle segmentation prediction technique, a feature introduced for the first time in the H.266/VVC standard. Traditional video coding restricts image division to rectangular blocks for prediction, yet object edges in real-world images are rarely perfectly horizontal or vertical. Triangle segmentation offers a closer fit to moving object boundaries, thereby boosting compression efficiency, though its adoption was previously hindered by the significant hardware overhead required.

The technical team at Kuaishou devised a solution that retains the rectangular prediction framework while leveraging a parity-based index mechanism. This approach directly derives motion vector candidates suitable for triangle segmentation from the existing rectangular prediction list, achieving substantial gains in compression efficiency while markedly reducing system complexity. This solution ultimately became the core technology behind the geometric segmentation prediction mode in H.266/VVC.

Since 2018, Kuaishou has played a pivotal role in shaping the H.266/VVC standard as one of its principal technical contributors. To date, the company has filed over 14,000 patent applications both domestically and internationally, with nearly 8,000 already granted. The award-winning patent holds rights in China, the United States, Europe, Japan, South Korea, India, and Mexico, and has been integrated into the relevant international patent pool.

Note: This article contains AI-assisted content.

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