Consumer electronics and video services
For over 30 years we have invested heavily in multimedia R&D. In addition to our significant contributions to the standardization of market-adopted video and audio codecs, we have developed a wide variety of other technologies that are implemented into over a billion of new devices every year, enabling video delivery direct to viewers through more conventional platforms such as cable and satellite TV as well via video streaming and Over the Top (OTT) applications.
invested in R&D since 2000, including €4.5bn+ in 2022 alone
inventions enabling multimedia products and services since 2000
Technology & Engineering Emmy® Awards won together with our partners
License our patented technologies
Our patented inventions enable high-quality consumer experiences. Nokia’s R&D has led to advancements in many areas, including innovations fundamental to video and audio industry standards, technology embedded in consumer electronics and mobile devices, and services delivering content to consumers.
Our patent licensing program is widely recognized across multiple industries.
We also license our proprietary OZO Audio and OZO Playback software to device manufacturers to enhance the multimedia capabilities of their smartphones and cameras.
Our licensing team can help you to find the right licenses for your products and services. To find out more, please contact us.
Industry-leading multimedia innovation
We have created almost 5,000 inventions that enable multimedia products and services since 2000 – and continue to play a leading role in multimedia research and standardization. Our expertise in multimedia and video research is built on continuous investment to advance the industry; Nokia has invested over €140 billion in R&D since 2000, including over €4.5 billion in 2022 alone.
Nokia has been instrumental in the development of market-adopted video codecs, including the Advanced Video Coding Standard (AVC/H.264), the High Efficiency Video Coding Standard (HEVC/H.265) and the Versatile Video Coding Standard (VCC/H.266).
We have a leading portfolio of Standard Essential Patents (SEPs) and a broad scope of non-SEPs that cover every main area of the H.264/AVC and H.265/HEVC standards.
Through our contributions to open standards, Nokia has defined many of the fundamental technologies used in video compression today. Without these technologies, streaming high-definition video over fixed and cellular networks would not be possible.
In addition to video compression, Nokia has a number of fundamental implementation patents that enable key technologies in streaming/over the top (OTT) video platforms, Pay TV including cable, satellite and IPTV services, gaming, social media, AR/VR, and a number of cloud-based service offerings.
Multimedia research and standardization leadership
The latest video technology innovation from Nokia
Our portfolio of innovations continues to grow thanks to our ongoing investment in multimedia R&D and our internationally acclaimed team of experts. The work of our inventors in video research and standardization has been recognized with numerous prestigious awards, including five Technology & Engineering Emmy® Awards.
Find out more about our most recent projects below.
Real-time decoding goes mobile with point cloud compression
From education to entertainment, capturing the real world in multi-dimensional immersive experiences presents a multitude of opportunities – alongside data-heavy complications. The release of the MPEG standard for video-based point cloud compression (V-PCC) for mobile is an immersive media gamechanger. Discover how V-PCC distribution and storage, and real-time decoding can now be achieved on every single media device on the market.
Find out more in this article by Sebastian Schwarz and Mika Pesonen
Navigating realities in 3-Dimensions with Point Cloud Compression
Point clouds are integral to immersive digital representations, enabling quick 3D assessments for navigating autonomous vehicles, robotic sensing and other use cases. This level of innovation requires massive amounts of data – and that’s where Point Cloud Compression (PCC) comes in. See how PCC lightens point cloud transmission for current and next-generation networks.
Discover more in the article by Sebastian Schwarz, Marius Preda, Vittorio Baroncini, Madhukar Budagavi, Pablo Cesar, Philip A. Chou, Robert A. Cohen, Maja Krivokuća, Sébastien Lasserre, Zhu Li, Joan Llach, Khaled Mammou, Rufael Mekuria, Ohji Nakagami, Ernestasia Siahaan, Ali Tabatai, Alexis M. Tourapis, and Vladyslav Zakharchenko.
Breaking the barriers of immersive content with volumetric video
Virtual, augmented and mixed reality applications are on the rise, and volumetric video is the fundamental technology enabling the exploration of real-world captured immersive content. Learn how the family of Visual Volumetric Video-based Coding (V3C) standards efficiently code, store and transport volumetric video content with 6 degrees of freedom.
Curious to know more? Read the article by Lauri Ilola, Lukasz Kondrad, Sebastian Schwarz and Ahmed Hamza
A new low latency feature for Versatile Video Coding
Everything from video conferencing to computer vision depends on keeping latency low. We have developed Gradual Decoding Refresh (GDR), a new feature that builds on Versatile Video Coding (VVC). Learn how GDR alleviates delay issues related to intra coded pictures – putting them on par with their inter coded counterparts – and maximizes coding efficiency while minimizing leaks.
Dive deeper into the topic with Limin Wang, Seungwook Hong and Krit Panusopone
Machine oriented image compression: a content-adaptive approach
An increasing amount of videos and images are watched by computer algorithms instead of humans. Our research considers how image coding can adapt to non-human eyes, with implications for smart cities, factory robotics, security and much more. Discover how an inference-time content-adaptive approach can improve compression efficiency for machine-consumption without modifying codec parameters.
Want to learn more? Read the article by Nam Le, Honglei Zhang, Francesco Cricri, Ramin Ghaznavi-Youvalari, Hamed R. Tavakoli, Esa Rahtu
New AI frontiers for image compression
For the last 30 years, image and video compression algorithms have been designed by engineers – but changes may be afoot. With artificial intelligence set to step up the game, model overfitting at inference time may be necessary to improve the efficiency for learning-based codecs. Learn why Nokia is exploring the potential for modified neural networks to streamline the compression process.
Discover more from the article by Honglei Zhang, Francesco Cricri, Hamed R. Tavakoli, Maria Santamaria, Yat-Hong Lam, and Miska M. Hannuksela