Market Context — Why This Technology, Why Now

The global demand for high-quality, low-latency video is exploding across industries, driven by the expansion of 5G/6G networks, the rise of immersive XR experiences, and the proliferation of AI-powered video analytics. Companies face immense pressure to deliver richer content and seamless communication while simultaneously managing escalating data storage and transmission costs. This technology provides a critical solution to optimize infrastructure, reduce operational expenditures, and meet consumer expectations for superior visual experiences in a data-intensive world.

Key Competitive Advantages
01

Increases Compression Efficiency by up to 20%: Reduces prediction residuals through weighted synthesis control of predicted pixels, cutting data volume by an average of 20% for high-quality streaming within the same bandwidth.

02

Maintains and Enhances Video Quality: Suppresses detail degradation through pixel position-dependent correction within prediction blocks, delivering natural and smooth video experiences even under high compression.

03

Secures Competitive Advantage with Over 16 Years of Exclusivity: Long-term exclusive rights until 2043 could enable licensees to establish a strong competitive edge in the next-generation video technology market.

Market Opportunity
Online Video Streaming
$2B–$2.5B globally (AI est.)
With the increasing prevalence of 4K/8K content and live streaming, data transfer volumes and storage costs continue to rise. Improving compression efficiency directly translates to enhanced profitability for these services.
Major streaming platforms Content delivery network (CDN) providers Broadcast media companies
Remote Communication Platforms
$750M–$850M globally (AI est.)
The widespread adoption of remote work and online education necessitates high-quality video and audio transmission. There is a growing demand for stable, high-definition communication even in low-bandwidth environments.
Video conferencing software developers Online education providers Telemedicine platform developers
Surveillance and Security Systems
$450M–$550M globally (AI est.)
Advanced AI-driven image analysis requires high-definition video data. Reducing data volume directly alleviates the burden on cloud storage and network infrastructure for surveillance systems.
Smart city solution providers Enterprise security system integrators AI-powered video analytics companies
IP Defensibility — Why Competitors Can't Replicate This
What This Patent Covers

This patent was granted rapidly in 7.5 months, demonstrating its clear intrinsic value and a robust prosecution strategy. It protects core image encoding algorithms with strong, independently validated claims, allowing for broad software implementation across various platforms without specific hardware dependency.

Competitive White Space

This patent focuses on core encoding algorithms. White space exists in hardware-specific acceleration architectures, advanced content-aware streaming protocols, and integration with AI for semantic video analysis.

Economic Impact
~$1M/year estimated bandwidth and storage cost reduction per facility (est.)
estimated ROI · USD · AI analysis
ROI Calculation Logic

Assuming an online video streaming service with an annual data transfer of 10PB. Estimated storage cost is ~$33.5K/PB/year (AI est.). This technology's 20% data reduction could save 2PB annually, leading to a ~$65K/year (AI est.) reduction in storage costs. Combined with an estimated ~$935K/year (AI est.) in bandwidth cost savings, the total operational cost reduction could reach ~$1M/year (AI est.).

Speed to Market
6× faster than in-house development
This technology pertains to core image encoding algorithms with established foundational theory. The detailed operational principles of the weighting control and correction units described in the patent specification enable a significant reduction in development time compared to developing similar technology from scratch. Integration into existing video processing pipelines primarily involves software module integration and optimization, allowing for rapid market deployment.
Competitive Positioning

X: Compression Efficiency & Bandwidth Cost Performance
Y: High Quality & Low Latency Performance

Business Models & Applications
🤝 Technology Licensing
A licensing agreement for companies to integrate this technology into their products or services. This could significantly reduce development costs and time, enabling rapid market entry with highly competitive products.
☁️ Cloud Encoding Service
Offer a cloud-based video encoding service leveraging this technology as a backend. Users benefit from highly efficient compression, and a pay-as-you-go model could ensure stable revenue.
🎥 Embedded in Video Devices
Integrate this technology into video input/output devices such as surveillance cameras, drones, and medical imaging equipment. This could differentiate products and enhance their performance.
Adjacent Application Opportunities
🏥 Healthcare & Telemedicine
High-Quality Transmission for Remote Healthcare
For remote surgical assistance and high-definition diagnostic image transmission, this technology could enable stable, high-quality video streaming even over low bandwidths. This has the potential to reduce regional healthcare disparities and support rapid decision-making in emergencies, potentially improving diagnostic accuracy by 15-20%.
🚗 Autonomous Driving & Mobility
Efficient Processing for In-Vehicle Camera Feeds
Efficiently compressing and transmitting vast video data from multiple autonomous vehicle sensors in real-time could reduce in-vehicle computing load by up to 20%. This is expected to enhance safety and optimize data processing costs for next-generation mobility solutions.
🎮 XR & Metaverse
High-Quality Streaming for Immersive Content
For high-resolution 3D models and textures in metaverse, VR/AR spaces, this technology could significantly reduce data volume while maintaining visual quality. This has the potential to enhance user immersion and reduce content delivery latency by 10-15% without compromising experience.
Integration Roadmap — Estimated 18-Month Deployment
Phase 1: Proof of Concept & Technical Evaluation
Duration: 3 months
Evaluate the compatibility of this technology's algorithms with the licensee's existing systems, define performance requirements, and conduct a Proof of Concept (PoC).
Phase 2: Prototype Development & Optimization
Duration: 6 months
Based on PoC results, develop a prototype incorporating this technology. Conduct performance benchmark tests and real-world optimization to elevate it to a practical level.
Phase 3: Product Integration & Market Rollout
Duration: 9 months
Integrate the optimized prototype into the final product or service, followed by quality assurance testing and market launch. Establishing operational frameworks post-deployment also proceeds in this phase.
Technical Feasibility
This technology can be implemented as a core algorithm in image encoding devices via software, allowing for modular integration into a licensee's existing video processing software stacks or hardware encoders. The components claimed in the patent can be realized through computational processing on general-purpose processors, requiring no significant capital investment. Its high compatibility means it can be adopted much like a software update.
Success Scenario
Upon adopting this technology, licensees could provide higher-definition video content within the same bandwidth without significantly altering their existing video distribution infrastructure. This could lead to increased customer satisfaction and new user acquisition, enhancing service competitiveness. Furthermore, an estimated annual reduction of up to 20% in storage costs is expected, optimizing operational expenditures.
Patent Record
APPLICATION NO.
特願2022-105467
REGISTRATION NO.
7229413
FILING DATE
2022/06/30
GRANT DATE
2023/02/16
EXPIRATION DATE
2042/06/30
PATENT HOLDER
日本放送協会
Examination History
2022年10月03日
早期審査に関する事情説明書
2022年10月03日
手続補正書（自発・内容）
2022年10月03日
出願審査請求書
2022年10月11日
早期審査に関する通知書
2022年10月18日
拒絶理由通知書
2022年10月28日
手続補正書（自発・内容）
2023年01月17日
特許査定