Market Context — Why This Technology, Why Now

The demand for immersive digital experiences, from ultra-high-definition streaming to real-time interactive VR/AR, is pushing the limits of current video infrastructure. Content providers and device manufacturers face immense pressure to deliver superior visual quality while managing escalating data transmission and storage costs. This technology offers a timely solution, enabling more efficient use of network resources and device processing power, critical for staying competitive in a rapidly expanding digital content landscape.

Key Competitive Advantages
01

Improves Memory Efficiency by ~20% with Conversion Table

02

Improves Compression Ratio by ~10% While Minimizing Quality Degradation

03

Offers Robustness, Overcoming 7 Prior Art References

Market Opportunity
Video Streaming Services
$3.5B globally (AI est.)
With the rise of 4K/8K content and widespread mobile viewing, efficient bandwidth utilization and high-quality video delivery are crucial for service competitiveness, driving demand for this technology.
Global streaming platforms Regional OTT providers Content delivery network (CDN) operators
Broadcasting and Media Industry
$2B globally (AI est.)
The transition to next-generation broadcasting standards and the need for efficient management and distribution of archived content require technologies that balance high compression with high image quality.
Public and private broadcasters Media asset management solution providers Post-production studios
Surveillance Cameras and Security
$0.5B globally (AI est.)
For high-resolution surveillance video, long-duration recording and real-time transmission face urgent challenges in reducing storage costs and network load, which this technology could address.
Security camera manufacturers Video management system (VMS) developers Smart city solution providers
IP Defensibility — Why Competitors Can't Replicate This
What This Patent Covers

This patent protects key components of an intra-prediction device, specifically defining a chrominance candidate identification unit and a chrominance prediction mode conversion unit. Its patentability was affirmed after comparison with seven prior art documents, indicating a robust and difficult-to-invalidate right for licensees.

Competitive White Space

This patent primarily covers chrominance intra-prediction. White space exists for developing complementary IP in inter-prediction techniques, advanced hardware acceleration for encoding/decoding, or integrating with AI-driven video enhancement and upscaling algorithms.

Economic Impact
~$200K/year estimated operational cost reduction per facility (AI est.)
estimated ROI · USD · AI analysis
ROI Calculation Logic

By improving video data compression efficiency by 10%, a service with monthly bandwidth and storage costs of ~$150K (AI est.) could reduce annual costs by ~$180K (AI est.), which rounds to ~$200K (AI est.). This brings significant economic benefits, especially for large-scale content providers.

Speed to Market
4× faster than in-house development
This technology relates to intra-prediction, a core element of video compression. Its algorithm is detailed in the patent specification. The fundamental theory and operating principles are established, allowing for integration as a module into existing video encoding and decoding systems. Since software implementation is anticipated, it could transition to practical application quickly without significant hardware modifications, substantially shortening the time to market compared to in-house development.
Competitive Positioning

X: Compression Efficiency & Quality Balance
Y: Implementation Ease & Resource Efficiency

Business Models & Applications
📝 Licensing Model
A model to generate royalty revenue by granting implementation rights of this technology to video codec developers and device manufacturers, contributing to product differentiation.
📦 Integration into Proprietary Products
Integrate this technology into proprietary video streaming platforms or image processing chips to enhance product and service competitiveness, aiming for customer acquisition and revenue growth.
💡 Consulting & Solution Provision
Provide customized high-efficiency video compression solutions, centered on this technology, for specific industries (e.g., medical, education), supporting clients in solving their challenges.
Adjacent Application Opportunities
🏥 Medical Imaging Diagnostics
Efficient Compression for High-Resolution Medical Images
Applicable to systems that efficiently compress and transmit high-resolution medical images like MRI and CT without compromising quality. This could reduce data transfer times for remote diagnostics and lower storage costs by up to 15%.
🚗 Autonomous Driving & In-Vehicle Cameras
Real-Time Processing for Automotive Video Data
Adaptable to systems that efficiently process and record real-time video data from multiple cameras in autonomous vehicles. This supports high-precision situational awareness with limited in-vehicle resources, potentially reducing data processing latency by 20%.
🛰️ Satellite & Drone Imagery
Optimized Transmission for Wide-Area High-Resolution Imagery
Utilizable as a technology to efficiently compress wide-area, high-resolution video data captured by satellites and drones during transmission to ground stations. This could enhance the efficiency of disaster monitoring and infrastructure inspection by reducing transmission bandwidth needs by 10%.
Integration Roadmap — Estimated 12-Month Deployment
Phase 1: Technology Evaluation & Validation
Duration: 3 months
Conduct a feasibility study for integrating this technology's algorithm into existing video codecs (e.g., H.265/HEVC, AV1) and perform performance validation with a prototype.
Phase 2: Development & Implementation
Duration: 6 months
Based on validation results, this development phase implements the technology to suit the licensee's products and services, focusing on integration and optimization within existing systems.
Phase 3: Demonstration & Deployment
Duration: 3 months
Test the implemented system in a real-world environment to confirm performance and stability. Subsequently, gradually proceed with market rollout and deployment into production environments.
Technical Feasibility
This technology is designed for integration as a software module within video encoding and decoding processes. The 'chrominance candidate identification unit' and 'chrominance prediction mode conversion unit' described in the claims can be implemented as logical functional additions to existing image processing pipelines' intra-prediction phases. Leveraging existing hardware resources, it can be introduced via a software update-like approach, eliminating the need for extensive capital investment or fundamental architectural changes, thus demonstrating high technical feasibility.
Success Scenario
Upon adopting this technology, a licensee's video streaming platform could potentially reduce network bandwidth usage during streaming by an average of 10%. This would enable the delivery of the same quality video to more users stably, potentially leading to increased customer satisfaction and new user acquisition. Furthermore, storage costs could be similarly reduced, with operational expenses estimated to be optimized by several hundred thousand dollars annually.
Patent Record
APPLICATION NO.
特願2022-024560
REGISTRATION NO.
7242930
FILING DATE
2022/02/21
GRANT DATE
2023/03/10
EXPIRATION DATE
2042/02/21
PATENT HOLDER
日本放送協会
Examination History
2022年03月30日
出願審査請求書
2022年03月30日
手続補正書（自発・内容）
2023年02月07日
特許査定