Market Context — Why This Technology, Why Now

The proliferation of 5G networks and the rapid expansion of immersive experiences like 8K video, VR, and AR are fundamentally reshaping content consumption and data infrastructure. Companies face intense pressure to deliver superior visual quality with minimal latency and reduced operational costs. This technology directly supports these demands by optimizing video data handling, offering a competitive edge in a market where efficient data transmission and processing are paramount for user satisfaction and profitability.

Key Competitive Advantages
01

Increases decoding efficiency by up to 10% by optimizing inverse transformation based on intra-prediction mode and reference pixel positions, significantly reducing processing load beyond existing technology limits.

02

Reduces communication bandwidth by up to 20% as improved encoding efficiency directly reduces data volume, saving bandwidth while maintaining high image quality, balancing delivery costs and user experience.

03

Secures robust patent rights through rigorous examination, having overcome two office actions with precise amendments, resulting in a strong patent with low invalidation risk, enabling confident business expansion.

Market Opportunity
Video Streaming Services
$10B–$50B globally (AI est.)
Netflix, YouTube, and other streaming demands are increasing, accelerating the need for high-efficiency codecs due to the proliferation of 4K/8K content.
Global streaming platforms Content delivery network (CDN) providers Smart TV and device manufacturers
Broadcast and Communication Infrastructure
$1B–$5B globally (AI est.)
Efficient large-capacity data transmission is essential in the 5G/Beyond 5G era, requiring adaptation to new broadcasting technologies like IP broadcasting.
Telecom infrastructure providers Broadcast equipment manufacturers Satellite communication companies
IoT and Surveillance Cameras
$1B–$5B globally (AI est.)
Real-time video processing at edge devices and reduced data transfer load to the cloud are required, also contributing to lower power consumption.
Smart city solution providers Security and surveillance system integrators Edge AI hardware developers
Cloud Gaming and VR/AR
$1B–$5B globally (AI est.)
In fields demanding ultra-low latency and high image quality, improved data compression efficiency directly enhances user experience and drives market expansion.
Cloud gaming platform developers VR/AR headset manufacturers Immersive content creators
IP Defensibility — Why Competitors Can't Replicate This
What This Patent Covers

This patent protects a decoding apparatus and program that optimize inverse transformation based on intra-prediction mode and reference pixel positions, enhancing video decoding efficiency. It has a robust claim scope, having overcome two office actions through precise amendments, demonstrating strong originality and low invalidation risk.

Competitive White Space

This patent focuses on intra-prediction optimization within video decoding. White space exists in broader video compression algorithms, inter-prediction techniques, or hardware-specific implementations for ultra-low power or high-throughput video processing beyond the core decoding algorithm.

Economic Impact
~$350K/year estimated communication and processing cost savings (est.)
estimated ROI · USD · AI analysis
ROI Calculation Logic

In video streaming services, a 10% improvement in decoding efficiency from this technology could reduce server processing load, leading to estimated annual savings of ~$350K (AI est.) in power and bandwidth costs. This is calculated based on 1PB/month data volume, processing cost of ~$3,333/PB (AI est.), and a 10% reduction rate.

Speed to Market
6× faster than in-house development
This technology's core algorithms are already established and validated by NHK, an academic research institution. Its configuration as a decoding apparatus and program is clearly defined, eliminating the need for licensees to undertake research and development from scratch. Designed for integration as a software module into existing video codecs, it significantly shortens development time and enables rapid market entry.
Competitive Positioning

X: Encoding Efficiency
Y: Implementation Ease

Business Models & Applications
🤝 Licensing
A licensing model for integrating this technology into existing video codecs and streaming platforms, enabling broad deployment across various enterprises.
📦 Module Sales
Providing this technology as an implemented software module or SDK, offering a solution for development companies to easily embed it into their own products.
💡 Consulting & Integration
Support services for building high-efficiency video streaming systems centered on this technology, including customized offerings tailored to specific client needs.
Adjacent Application Opportunities
🎮 Gaming & VR/AR
Real-time High-Quality Rendering
In cloud gaming and VR/AR content, integrating this technology could enable high-definition, low-latency video delivery even under network bandwidth constraints. This has the potential to significantly enhance user experience and establish a competitive advantage in the next-generation entertainment market, where efficient data processing is key.
🚗 Autonomous Driving & Mobility
Optimized In-Vehicle Sensor Data Processing
This technology could efficiently process the vast sensor data generated by autonomous vehicles, enabling real-time road condition recognition and anomaly detection. By reducing data transfer load and improving cloud connectivity responsiveness, it contributes to enhanced safety and reduced operational costs for a rapidly expanding market.
🏥 Telemedicine & Monitoring
High-Reliability, Low-Latency Medical Imaging
For remote surgical assistance and patient monitoring, this technology could transmit high-quality medical images with low latency. This allows medical professionals to obtain more detailed information in real-time, improving healthcare quality and supporting rapid responses in emergencies, potentially reducing data transfer costs by up to 20%.
Integration Roadmap — Estimated 15-Month Deployment
Phase 1: Technology Validation & PoC
Duration: 3 months
Integrate the decoding module of this technology into a portion of an existing video streaming pipeline and conduct performance evaluation and effect measurement using actual data.
Phase 2: System Integration & Development
Duration: 6 months
Based on PoC results, proceed with development to integrate this technology into the overall existing system. Focus on API linkage and ensuring compatibility with existing codecs.
Phase 3: Production Operation & Optimization
Duration: 6 months
Begin operating the system incorporating this technology in a production environment, conducting continuous monitoring and performance optimization. Implement improvements based on user feedback.
Technical Feasibility
This technology primarily involves software algorithm improvements, allowing for deployment as a firmware or software update to existing decoding devices and media players. The patent claims indicate a design philosophy that minimizes new hardware investment and facilitates easy integration into existing system infrastructures. It also exhibits low dependency on specific CPU architectures or operating systems, making it suitable for implementation in general-purpose environments.
Success Scenario
Implementing this technology could reduce communication bandwidth usage by up to 20% for high-definition video content delivery. This may enable serving more users within the same bandwidth or realizing next-generation content delivery, such as 8K, at a lower cost. Consequently, it could enhance customer satisfaction and create new revenue opportunities.
Patent Record
APPLICATION NO.
特願2023-039333
REGISTRATION NO.
7506211
FILING DATE
2023/03/14
GRANT DATE
2024/06/17
EXPIRATION DATE
2043/03/14
PATENT HOLDER
日本放送協会
Examination History
2023年03月14日
出願審査請求書
2023年12月12日
拒絶理由通知書
2024年01月31日
手続補正書（自発・内容）
2024年01月31日
意見書
2024年02月20日
拒絶理由通知書
2024年04月15日
手続補正書（自発・内容）
2024年04月15日
意見書
2024年05月14日
特許査定