JoinInterDigital'sVideo Lab to pioneer the next generation of energy-efficient AI for video. As a postdoctoral researcher, you will help shape technologies that reduce the environmental footprint of generative AI while contributing to international standards and publishingcutting-edgeresearch.
About InterDigital
InterDigital is a global research and development company focused primarily on wireless, video, artificial intelligence (“AI”), and related technologies. We design and develop foundational technologies that enable connected, immersive experiences in a broad range of communications and entertainment products and services. We license our innovations worldwide to companies providing such products and services, including makers of wireless communications devices, consumer electronics, IoT devices, cars and other motor vehicles, and providers of cloud-based services such as video streaming. As a leader in wireless technology, our engineers have designed and developed a wide range of innovations that are used in wireless products and networks, from the earliest digital cellular systems to 5G and today’s most advanced Wi-Fi technologies. We are also a leader in video processing and video encoding/decoding technology, with a significant AI research effort that intersects with both wireless and video technologies. Founded in 1972, InterDigital is listed on Nasdaq.
InterDigital is a registered trademark of InterDigital, Inc.
For more information, visit: www.interdigital.com.
Background and Motivation
The continuous growth of video traffic generated by streaming platforms, immersive media, cloud gaming, autonomous systems, and machine vision is placing unprecedented pressure on communication and storage infrastructures. Although conventional video codecs such as H.266/VVC, AV1 and HEVC continue to improve coding efficiency through decades of algorithmic refinements, their block-based architecture is approaching diminishing returns. Their design relies on handcrafted signal processing modules—including prediction, transforms, quantization, in-loop filtering and entropy coding—that have been carefully optimized but remain fundamentally constrained by assumptions about natural image statistics.
Learned Video Compression (LVC) has emerged during the past decade as a promising alternative. Instead of optimizing individual codec modules independently, learned codecs formulate compression as a global end-to-end optimization problem. Neural networks jointly learn the analysis transform, synthesis transform, entropy model and motion representation by minimizing a rate-distortion objective where (D) measures reconstruction distortion while (R) estimates the coding rate through differentiable entropy models.
Recent learned image and video codecs have demonstrated compression performances comparable to—or surpassing—the latest standard codecs for several operating points. More importantly, they provide a flexible framework in which every component can be jointly optimized for a target application.
Despite these impressive advances, several important challenges remain before learned video codecs can become a practical replacement for conventional standards.
First, current architectures remain computationally demanding. Deep convolutional encoders, decoders and optical-flow estimation networks require millions of parameters and substantial computational resources during both training and inference.
Second, entropy modeling remains one of the principal bottlenecks. State-of-the-art autoregressive models improve coding efficiency but introduce strong sequential dependencies that significantly reduce decoding parallelism.
Third, current codecs still represent images and videos through discrete latent feature maps. While highly effective, these representations inherit many limitations of grid-based signals, including resolution dependence, interpolation artifacts and limited geometric adaptability.
Finally, temporal redundancy is often modeled explicitly through optical flow or recurrent networks, both of which become increasingly expensive for long sequences or high-resolution content.
These limitations motivate the exploration of alternative signal representations capable of providing richer spatial and temporal modeling while maintaining efficient entropy coding.
Hybrid Implicit Neural Representations
Implicit Neural Representations (INRs) have recently emerged as a fundamentally different paradigm for representing visual signals. Rather than storing an image or a video as discrete samples on a grid, an INR represents the signal as a continuous function where the neural network maps spatial (or spatio-temporal) coordinates
XΧ directly to signal valuesΥΥ.
Continuous representations naturally provide:
arbitrary-resolution reconstruction,
smooth interpolation,
compact parameterization,
geometric continuity.
However, pure coordinate-based INRs exhibit several limitations for compression. They often require relatively large neural networks, suffer from slow convergence, and struggle to reproduce highly textured regions without substantially increasing model complexity.
Hybrid Implicit Neural Representations (Hybrid INRs) have recently addressed these limitations by combining learned latent grids with coordinate-based neural decoders.
Instead of relying solely on coordinates, the decoder receives both
local latent features extracted from hierarchical latent grids,
continuous spatial coordinates.
The latent grids capture high-frequency local structures while the implicit decoder reconstructs the continuous signal. Hierarchical latent resolutions allow coarse image structures to be represented at low spatial resolutions and fine details at higher resolutions.
Among recent examples, Cool-Chic[Ladune et al., 2003]and C3[Kim et al., 2024]havedemonstrated that hybrid INRs constitute an extremely competitive framework for learned image compression. Its hierarchical latent representation, lightweight implicit decoder and learned entropy model achieve state-of-the-art rate-distortion performance while requiring significantly fewer decoder parameters than conventional CNN-based architectures.
The advantages of hybrid INRs include:
continuous image representation,
compact decoder architectures,
scalable latent hierarchies,
compatibility with autoregressive entropy models,
excellent adaptation to image geometry.
Nevertheless, current hybrid INR methods remain largely restricted to still images. Extending this framework to video introduces new scientific questions regarding temporal representation, temporal prediction and entropy modeling[Leguay et al., 2024].
Extending Hybrid INRs to Learned Video Compression
The central objective of this project is to develop a new generation of learned video codecs based on spatio-temporal hybrid implicit neural representations. Instead of treating each frame independently, the proposed framework will model an entire video sequence as a continuous function where the decoder jointly exploits spatial coordinates, temporal coordinates and hierarchical latent representations. The key challenge lies in introducing temporal redundancy into the latent hierarchy without sacrificing the compactness that makes hybrid INRs attractive. Several complementary research directions will be investigated.
Hierarchical Spatio-Temporal Latent Representation
Current hybrid INR codecs organize latent grids across multiple spatial resolutions. This project proposes extending the representationto the temporal dimension.This could includetemporal latent pyramids,key-frame and inter-frame latent decomposition,multi-scale temporal feature grids,adaptive temporal resolutions depending on motion complexity…
Continuous Temporal Prediction
Conventional learned video codecs typically estimate optical flow between successive frames.Hybrid INRs provide an opportunity to replace explicit motion estimation by continuous temporal modeling, such aslatent-space temporal prediction,learned temporal embeddings…
Hierarchical Context Modeling
Entropy coding remains one of the largest contributors to coding performance.Inspired by recent advances in hierarchical latent modeling for image compression, previously decoded latent levels and previous temporal instants can provide rich contextual information for entropy prediction.
Lightweight Neural Architectures
One of the strengths of hybrid INRs is the possibility of using extremely compact decoders.The projectaims to continueinvestigatinglightweight architecturesaiming to reduceboth computational complexity and memory footprint while preserving coding performance.
Expected Scientific Contributions
The proposed research will contribute to the development of a unified framework for learned video compression based onimplicit neural representation.
Expected contributions include:
novel spatio-temporal hybrid INR architectures for video compression;
lightweight decoder architectures suitable for practical deployment;
comprehensive rate-distortion-complexity evaluation against state-of-the-art learned video codecs and conventional standards such as VVC.
Impact
This project addresses several major challenges facing next-generation multimedia compression: coding efficiency, computational complexity, scalability and representation flexibility. By extending hybrid implicit neural representations from images to videos, it seeks to establish a new paradigm in which spatial and temporal information are jointly modeled through continuous neural functions and hierarchical latent representations.
Such a framework has the potential to bridge the gap between neural signal representations and practical video coding systems, contributing both to the theoretical understanding of continuous neural compression and to the development of future AI-native video codecs suitable for real-world deployment.
Bibliography
[Kim et al., 2024]Kim, Hyunjik, et al."C3: High-performance and low-complexity neural compression from a single image or video." Proceedings of the IEEE/CVF conference on computer vision and pattern recognition. 2024.
[Ladune et al., 2003]Ladune, Théo, et al."Cool-chic: Coordinate-based low complexity hierarchical image codec." Proceedings of the IEEE/CVF International Conference on Computer Vision. 2023.
[Leguay et al., 2024]Leguay, Thomas, et al. "Cool-chic video: Learned video coding with 800 parameters." 2024 Data compression conference (DCC). IEEE, 2024.
Location: Rennes, France
InterDigital is an equal employment opportunity employer. InterDigital will not engage in or tolerate unlawful discrimination with regard to any employment decision, policy or practice based on a person’s sex, gender, pregnancy (including childbirth, breastfeeding and related medical conditions), age, race, color, religion, creed, national origin, ancestry, citizenship, military status, veteran status, mental or physical disability, medical condition, genetic information, sexual orientation, gender identity or expression, or any other factor protected by applicable federal, state or local law. This policy applies to all terms and conditions of employment, including, but not limited to, recruiting, hiring, compensation, benefits, training, assignments, evaluations, coaching, promotion, discipline, discharge and layoff.
InterDigital develops wireless and video technologies and builds a large portfolio of patents. It invents new technologies, patents them, and licenses the intellectual property to mobile device makers, networks, and services providers. Its products work by providing foundational technologies that enable devices and networks to communicate and deliver video services, and its revenue comes from licensing those patents rather than selling hardware. What sets InterDigital apart is its extensive patent portfolio (tens of thousands of patents and applications), its focus on contributing technologies to global standards, and its licensing-based business model that monetizes R&D. The company operates worldwide with major manufacturers and technology companies as clients, aiming to influence the telecommunications ecosystem through standards participation. The goal is to enable connected and immersive experiences by developing and licensing foundational wireless and video technologies.
Company Size
501-1,000
Company Stage
IPO
Headquarters
Claymont, Delaware
Founded
1972
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Disney's antitrust case against InterDigital paused. By Nadia Dreid ( September 29, 2026, 8:05 PM EDT) - InterDigital has convinced a Delaware federal judge to press pause on a lawsuit brought by Disney accusing the technology development company of refusing to offer reasonable licenses on patents for video streaming... Law360 is on it, so you are, too. A Law360 subscription puts you at the center of fast-moving legal issues, trends and developments so you can act with speed and confidence. Over 200 articles are published daily across more than 60 topics, industries, practice areas and jurisdictions. A Law360 subscription includes features such as * Daily newsletters * Expert analysis * Mobile app * Advanced search * Judge information * Real-time alerts * 450K+ searchable archived articles Experience Law360 today with a free 7-day trial. Related sections. Case information. Case title. Case number. Court. Nature of suit. Judge. Date filed. Law firms. Companies. Government agencies. Judge analytics. powered by Lex Machina(R) From major deals to high-profile litigation, the firms named to Law360's 2026 Regional Powerhouses list are leading the way across 14 states. They deliver deep regional expertise and make a lasting impact at the state and local level.
InterDigital (IDCC) raises dividend 7.1% as record revenues and raised guidance boost bull case. InterDigital, Inc. (IDCC) lifted its quarterly cash dividend by 7.1%, moving the payout to 75 cents per share from the previous 70 cents. The increased dividend will take effect in the fourth quarter of 2026, with payment scheduled for Oct. 28 to shareholders of record as of Oct. 14. The hike brings the annualized dividend to $3 per share, continuing a pattern of steady increases that began when the quarterly payout stood at just 45 cents at the start of 2025. While IDCC's forward dividend yield of approximately 0.9% is not particularly high, the consistent upward trajectory signals management's confidence in its licensing-driven cash flow model. InterDigital's licensing business is generating momentum, with annualized recurring revenues hitting a record $625.7 million in the second quarter of 2026, up 13% year over year. A recently signed agreement with Amazon.com, Inc. (AMZN) expanded IDCC's exposure to streaming and cloud services, broadening the company's reach beyond its traditional smartphone licensing base. Management responded to stronger business conditions by raising its 2026 revenue guidance to $775-$845 million, up from a prior range of $675-$775 million. Adjusted EBITDA is now projected between $469 million and $529 million, with non-GAAP earnings expected in the range of $10.85-$12.81 per share for the full year. Earnings estimates for IDCC for 2026 have climbed 27.1% to $11.15 over the past 60 days, reflecting growing analyst confidence in the company's growth trajectory. IDCC shares have gained 3.7% over the past six months, outpacing the broader industry's decline of 3.4% during the same period. The stock has also outperformed peers AST SpaceMobile, Inc. (ASTS) and Ericsson (ERIC), which fell 33.8% and 10.1%, respectively, over that same six-month stretch. InterDigital's expansion into streaming, cloud, IoT, and connected-device markets is expected to diversify its long-term revenue opportunities well beyond its traditional wireless licensing roots. IDCC currently holds a Zacks Rank #1, or Strong Buy, with analysts pointing to the Amazon agreement and raised guidance as compelling reasons for continued optimism. Investors seeking exposure to wireless, video, AI, and connected-device licensing opportunities may consider buying the stock on market pullbacks, given its favorable fundamentals and rising earnings estimates.
Zacks Research reduces earnings estimates for InterDigital. September 15, 2026 Key points. * Zacks Research lowered InterDigital's FY2026 EPS estimate to $9.64 from $10.13, below the current consensus of $9.76, while maintaining a "Strong-Buy" rating. Estimates for several later quarters and FY2028 were also reduced. * InterDigital reported a significant quarterly earnings beat, with EPS of $4.62 versus the $0.90 consensus and revenue of $260.17 million versus $143.10 million expected. However, quarterly revenue declined 13.4% year over year. * The company raised its quarterly dividend to $0.75 per share from $0.70, equating to an annualized dividend of $3.00 and a 0.9% yield; analyst sentiment remains broadly positive with an average "Buy" rating and a $450 price target. * MarketBeat previews the top five stocks to own by October 1st. InterDigital, Inc. (NASDAQ:IDCC - Free Report) - Zacks Research dropped their FY2026 earnings per share (EPS) estimates for shares of InterDigital in a note issued to investors on Friday, September 11th. Zacks Research analyst Team now expects that the Wireless communications provider will post earnings per share of $9.64 for the year, down from their prior forecast of $10.13. Zacks Research currently has a "Strong-Buy" rating on the stock. The consensus estimate for InterDigital's current full-year earnings is $9.76 per share. Zacks Research also issued estimates for InterDigital's Q4 2026 earnings at $1.73 EPS, Q2 2027 earnings at $1.97 EPS, Q3 2027 earnings at $2.20 EPS, Q4 2027 earnings at $2.32 EPS, Q1 2028 earnings at $2.37 EPS, Q2 2028 earnings at $2.63 EPS and FY2028 earnings at $10.65 EPS. InterDigital (NASDAQ:IDCC - Get Free Report) last announced its earnings results on Thursday, July 30th. The Wireless communications provider reported $4.62 earnings per share (EPS) for the quarter, beating the consensus estimate of $0.90 by $3.72. InterDigital had a net margin of 38.32% and a return on equity of 28.17%. The business had revenue of $260.17 million for the quarter, compared to analyst estimates of $143.10 million. During the same quarter last year, the business earned $6.52 earnings per share. The company's revenue for the quarter was down 13.4% compared to the same quarter last year. InterDigital has set its FY 2026 guidance at 10.850-12.810 EPS and its Q3 2026 guidance at 1.940-2.130 EPS. Separately, Weiss Ratings cut InterDigital from a "buy (b-)" rating to a "hold (c+)" rating in a research report on Tuesday, August 11th. One analyst has rated the stock with a Strong Buy rating, three have assigned a Buy rating and one has issued a Hold rating to the company. Based on data from MarketBeat.com, InterDigital presently has an average rating of "Buy" and an average price target of $450.00. Discover more Financial News Take Economics Courses Get Business Reports InterDigital stock performance. NASDAQ IDCC opened at $340.38 on Tuesday. The company has a debt-to-equity ratio of 0.01, a current ratio of 1.74 and a quick ratio of 1.74. The stock's 50 day simple moving average is $311.44 and its 200-day simple moving average is $310.50. The company has a market cap of $8.78 billion, a PE ratio of 39.26 and a beta of 1.43. InterDigital has a 1-year low of $249.14 and a 1-year high of $412.60. InterDigital increases dividend. The business also recently disclosed a quarterly dividend, which will be paid on Wednesday, October 28th. Shareholders of record on Wednesday, October 14th will be paid a dividend of $0.75 per share. This represents a $3.00 dividend on an annualized basis and a yield of 0.9%. This is an increase from InterDigital's previous quarterly dividend of $0.70. The ex-dividend date of this dividend is Wednesday, October 14th. InterDigital's dividend payout ratio is presently 34.60%. Insider buying and selling at InterDigital. In other InterDigital news, Director Joan Gillman sold 300 shares of the firm's stock in a transaction on Friday, August 7th. The stock was sold at an average price of $331.06, for a total value of $99,318.00. Following the completion of the sale, the director directly owned 22,736 shares of the company's stock, valued at $7,526,980.16. This trade represents a 1.30% decrease in their position. The sale was disclosed in a legal filing with the Securities & Exchange Commission, which is available through this hyperlink. The transaction was executed under a pre-arranged Rule 10b5-1 trading plan. Also, Director John Markley, Jr. sold 400 shares of the business's stock in a transaction dated Monday, June 22nd. The shares were sold at an average price of $300.00, for a total transaction of $120,000.00. Following the transaction, the director directly owned 11,735 shares in the company, valued at approximately $3,520,500. The trade was a 3.30% decrease in their position. The SEC filing for this sale provides additional information. The transaction was executed under a pre-arranged Rule 10b5-1 trading plan. Insiders sold a total of 5,200 shares of company stock worth $1,642,638 in the last three months. 3.50% of the stock is owned by corporate insiders. Institutional inflows and outflows. A number of large investors have recently added to or reduced their stakes in the business. Keating Financial Advisory Services Inc. purchased a new stake in InterDigital in the 2nd quarter valued at about $25,000. Anchor Investment Management LLC purchased a new stake in shares of InterDigital in the 1st quarter valued at approximately $30,000. Leonteq Securities AG purchased a new stake in shares of InterDigital in the 4th quarter valued at approximately $35,000. Hantz Financial Services Inc. lifted its holdings in shares of InterDigital by 219.0% in the 4th quarter. Hantz Financial Services Inc. now owns 134 shares of the Wireless communications provider's stock worth $43,000 after acquiring an additional 92 shares during the last quarter. Finally, Clearstead Advisors LLC boosted its position in shares of InterDigital by 52.3% during the 4th quarter. Clearstead Advisors LLC now owns 198 shares of the Wireless communications provider's stock worth $63,000 after purchasing an additional 68 shares during the period. 99.83% of the stock is currently owned by institutional investors and hedge funds. Key InterDigital news. Here are the key news stories impacting InterDigital this week: * Zacks raised its Q2 2027 EPS forecast to $1.97 from $1.91, providing a limited positive offset to the broader revisions. The firm continues to rate InterDigital a "Strong-Buy." * The current full-year analyst consensus remains $9.76 EPS, while Zacks projects fiscal 2026 EPS of $9.64 and fiscal 2028 EPS of $10.65. This indicates continued profitability and growth expectations, although Zacks' projections are below its earlier forecasts. * Zacks cut its fiscal 2026 EPS estimate to $9.64 from $10.13 and reduced Q4 2026 EPS to $1.73 from $2.13. It also lowered forecasts for Q3 2027 ($2.20 from $2.29), Q4 2027 ($2.32 from $2.34), Q1 2028 ($2.37 from $2.39), Q2 2028 ($2.63 from $2.68), and fiscal 2028 ($10.65 from $10.83). The concentration of downward revisions is likely the main reason InterDigital's stock has weakened, particularly given its elevated valuation and strong recent performance. About InterDigital. InterDigital, Inc is a wireless technology research and development company that designs and develops advanced technologies used in mobile and other connected devices. Its work spans cellular communications, including 2G, 3G, 4G LTE and 5G, as well as wireless connectivity, video technologies and the Internet of Things. The company primarily generates revenue by licensing its intellectual property to manufacturers of wireless products and other technology companies. Its portfolio includes patents and technical contributions related to wireless standards, network performance, spectrum efficiency, device connectivity and multimedia communications. This instant news alert was generated by narrative science technology and financial data from MarketBeat in order to provide readers with the fastest reporting and unbiased coverage. Please send any questions or comments about this story to [email protected]. Before you consider InterDigital, you'll want to hear this. MarketBeat keeps track of Wall Street's top-rated and best performing research analysts and the stocks they recommend to their clients on a daily basis. MarketBeat has identified the five stocks that top analysts are quietly whispering to their clients to buy now before the broader market catches on... and InterDigital wasn't on the list. While InterDigital currently has a Buy rating among analysts, top-rated analysts believe these five stocks are better buys. Tesla, Nvidia, and Google helped shape the last era of market growth, but the next wave could come from a new group of companies. Inside this report, you'll find 7 stocks that could play a major role in the next tech-driven market boom. Continue following MarketBeat
At IBC, InterDigital to showcase VVC Multilayer Coding powering high-quality video streaming. InterDigital and NHK, MC-IF to demonstrate streaming excellence with VVC enhancements. WILMINGTON, Del., Sept. 01, 2026 (GLOBE NEWSWIRE) - InterDigital, Inc. (Nasdaq: IDCC), a wireless, video and AI technology research and development company, will showcase state-of-the-art video codec innovation at the International Broadcasting Convention (IBC), taking place in Amsterdam from September 11 - 14, 2026. InterDigital will demonstrate at IBC alongside NHK (Japan Broadcasting Corporation), Japan's sole public service media organization, and Media Coding Industry Forum (MC-IF) partners, spotlighting enhancements to the Versatile Video Coding (VVC) standard to deliver premium, high-quality streaming experiences. VVC Multilayer Coding At IBC 2026, InterDigital and NHK will demonstrate two aspects of the VVC Multilayer Main 10 profile, specifically content overlay and spatial/quality scalability. The demonstration is powered by a VVC multilayer software decoder. The content layering approach demonstrated by NHK shows content personalisation enabled by VVC multilayer and MPEG-H 3D audio coding, highlighting the technology's ability to switch video and audio in a coordinated manner to empower richer user experiences. By reframing the base layer and overlaying additional content, like captions or sign language translations, in an enhancement layer, users can choose between viewing the base or a selected enhanced experience. The contributions to scalability made by InterDigital demonstrate how a VVC enhancement layer can deliver significant improvements in quality in broadcast and streaming applications, offering greater efficiency than independent encoding. This joint demonstration is aligned with the VVC multilayer coding verification test, published in April 2026, as MPEG document AG 5 N208. Read the document here. Experience Streaming Excellence at the MC-IF booth At the MC-IF booth in Hall 2.B13, MC-IF members including InterDigital, in collaboration with NHK, will demonstrate new features and capabilities of VVC. Together, MC-IF members will highlight how the industry is embracing VVC as the foundation for next-generation video delivery at scale, as the codec moves from development and early ecosystem experimentation to commercial deployment at national scale in countries like Brazil. About InterDigital(R) InterDigital is a global research and development company focused primarily on wireless, video, artificial intelligence ("AI"), and related technologies. We design and develop foundational technologies that enable connected, immersive experiences in a broad range of communications and entertainment products and services. We license our innovations worldwide to companies providing such products and services, including makers of wireless communications devices, consumer electronics, IoT devices, cars and other motor vehicles, and providers of cloud-based services such as video streaming. As a leader in wireless technology, our engineers have designed and developed a wide range of innovations that are used in wireless products and networks, from the earliest digital cellular systems to 5G and today's most advanced Wi-Fi technologies. We are also a leader in video processing and video encoding/decoding technology, with a significant AI research effort that intersects with both wireless and video technologies. Founded in 1972, InterDigital is listed on Nasdaq. InterDigital is a registered trademark of InterDigital, Inc.
At IBC, InterDigital to showcase VVC Multilayer Coding powering high-quality video streaming. InterDigital and NHK, MC-IF to demonstrate streaming excellence with VVC enhancements. WILMINGTON, Del., Sept. 01, 2026 (GLOBE NEWSWIRE) - InterDigital, Inc. (Nasdaq: IDCC), a wireless, video and AI technology research and development company, will showcase state-of-the-art video codec innovation at the International Broadcasting Convention (IBC), taking place in Amsterdam from September 11 - 14, 2026. InterDigital will demonstrate at IBC alongside NHK (Japan Broadcasting Corporation), Japan's sole public service media organization, and Media Coding Industry Forum (MC-IF) partners, spotlighting enhancements to the Versatile Video Coding (VVC) standard to deliver premium, high-quality streaming experiences. VVC Multilayer Coding At IBC 2026, InterDigital and NHK will demonstrate two aspects of the VVC Multilayer Main 10 profile, specifically content overlay and spatial/quality scalability. The demonstration is powered by a VVC multilayer software decoder. The content layering approach demonstrated by NHK shows content personalisation enabled by VVC multilayer and MPEG-H 3D audio coding, highlighting the technology's ability to switch video and audio in a coordinated manner to empower richer user experiences. By reframing the base layer and overlaying additional content, like captions or sign language translations, in an enhancement layer, users can choose between viewing the base or a selected enhanced experience. The contributions to scalability made by InterDigital demonstrate how a VVC enhancement layer can deliver significant improvements in quality in broadcast and streaming applications, offering greater efficiency than independent encoding. This joint demonstration is aligned with the VVC multilayer coding verification test, published in April 2026, as MPEG document AG 5 N208. Read the document here. Experience Streaming Excellence at the MC-IF booth At the MC-IF booth in Hall 2.B13, MC-IF members including InterDigital, in collaboration with NHK, will demonstrate new features and capabilities of VVC. Together, MC-IF members will highlight how the industry is embracing VVC as the foundation for next-generation video delivery at scale, as the codec moves from development and early ecosystem experimentation to commercial deployment at national scale in countries like Brazil. About InterDigital(R) InterDigital is a global research and development company focused primarily on wireless, video, artificial intelligence ("AI"), and related technologies. We design and develop foundational technologies that enable connected, immersive experiences in a broad range of communications and entertainment products and services. We license our innovations worldwide to companies providing such products and services, including makers of wireless communications devices, consumer electronics, IoT devices, cars and other motor vehicles, and providers of cloud-based services such as video streaming. As a leader in wireless technology, our engineers have designed and developed a wide range of innovations that are used in wireless products and networks, from the earliest digital cellular systems to 5G and today's most advanced Wi-Fi technologies. We are also a leader in video processing and video encoding/decoding technology, with a significant AI research effort that intersects with both wireless and video technologies. Founded in 1972, InterDigital is listed on Nasdaq. InterDigital is a registered trademark of InterDigital, Inc. Legal Disclaimer: EIN Presswire provides this news content "as is" without warranty of any kind. We do not accept any responsibility or liability for the accuracy, content, images, videos, licenses, completeness, legality, or reliability of the information contained in this article. If you have any complaints or copyright issues related to this article, kindly contact the author above.