Market Context — Why This Technology, Why Now

The rapid expansion of immersive experiences (VR/AR), metaverse platforms, and AI-driven content generation is creating unprecedented demands for efficient video processing. Simultaneously, environmental pressures are pushing industries to optimize data center energy consumption. This technology offers a timely solution, enabling content providers and network operators to meet escalating quality expectations and manage data growth responsibly, while reducing operational overhead by an estimated 10-20%.

Key Competitive Advantages
01

Reduces data transfer costs by up to 20%

02

Maintains high image quality during compression

03

Establishes a unique technological lead

Market Opportunity
Video Streaming and Distribution Services
$20B globally (AI est.)
With increasing demand for high-definition content, reducing data transfer costs and ensuring stable, high-quality delivery are critical challenges, which this technology directly addresses.
Global streaming platforms Video-on-demand providers Live broadcast streaming services
Cloud Storage and CDN Providers
$10B globally (AI est.)
Optimizing large-volume data storage and distribution directly impacts corporate profitability, making this technology's compression efficiency improvements a significant contributor to operational cost reduction.
Major cloud service providers Content Delivery Network (CDN) operators Enterprise data storage solutions
Broadcast and Content Production
$2B domestically (AI est.)
As the transition to next-generation broadcast technologies like 8K progresses, efficient production, management, and transmission of high-quality video assets are crucial. This technology could optimize these workflows.
National broadcasting corporations Independent film and TV studios Post-production houses
IP Defensibility — Why Competitors Can't Replicate This
What This Patent Covers

This patent establishes robust protection for an intra-prediction device, image encoding/decoding device, and program, covering the core logic for linear model calculation, chrominance component prediction, and correction using surrounding pixel values. Its broad scope, with five claims, and successful navigation through examination, including a response to an office action, indicate strong validity and low invalidation risk, offering licensees a secure foundation for commercialization.

Competitive White Space

This patent primarily focuses on intra-prediction for chrominance components. White space exists in advanced inter-prediction techniques, specialized hardware acceleration for encoding/decoding, or novel applications of video compression in non-traditional data formats.

Economic Impact
~$1.0M/year estimated operational cost reduction per facility (est.)
estimated ROI · USD · AI analysis
ROI Calculation Logic

For enterprises managing large-scale video content, assuming annual data transfer costs of ~$66.5M (AI est.) and storage costs of ~$3.5M (AI est.), a 10% average improvement in encoding efficiency could lead to direct annual cost savings of ~$1.0M (AI est.). This includes ~$0.5M (AI est.) from data transfer and ~$0.5M (AI est.) from storage. Additional indirect economic benefits are anticipated from optimized power consumption due to reduced server load and enhanced customer satisfaction from superior video quality.

Speed to Market
6× faster than in-house development
This technology is established as an algorithm that can be integrated into the prediction unit of existing image encoding and decoding devices. The core logic for the linear model calculation unit, chrominance component prediction unit, and chrominance component correction unit is clearly defined, with essential implementation details thoroughly described in the patent specification. This allows licensees to bypass extensive fundamental research and algorithm development, focusing instead on optimization and validation within existing systems, significantly accelerating time to market.
Competitive Positioning

X: Encoding Efficiency
Y: Image Quality Preservation

Business Models & Applications
💿 Product Integration (Licensing)
Licensing this technology for integration into a licensee's image encoding/decoding devices or distribution systems to enhance the competitiveness of existing products.
🤝 Joint Research and Contract Development
Customizing this technology to meet specific licensee needs and jointly developing highly efficient video processing solutions for specialized applications.
💡 Consulting Services
Providing technical consulting focused on video compression optimization, with this technology at its core, to support licensees in solving their challenges.
Adjacent Application Opportunities
監視・セキュリティ
High-Efficiency Surveillance Camera Systems
Applying this technology to surveillance camera systems could enable efficient transmission and storage of high-quality video data at lower bandwidths. This could significantly reduce costs for long-term video recording and remote real-time monitoring, facilitating broader deployment.
医療・ヘルスケア
High-Definition Medical Image Transmission
Compressing high-definition medical images from MRI or CT scans with this technology could enable faster transmission over networks and secure, efficient cloud storage. This could improve remote diagnostic accuracy and facilitate sharing and utilization of medical data, enhancing healthcare service quality.
自動運転・ADAS
In-Vehicle Video Data Optimization
Real-time, high-efficiency compression of the vast video data generated by autonomous vehicles using this technology could reduce in-vehicle storage load and accelerate data uploads to the cloud. This could improve the efficiency of AI training data collection and analysis, accelerating the evolution of autonomous driving technology.
Integration Roadmap — Estimated 16-Month Deployment
Phase 1: Technical Evaluation and Requirements Definition
Duration: 3 months
Evaluate compatibility with the licensee's existing systems, define specific performance targets, and establish detailed requirements for implementation.
Phase 2: Prototype Development and Validation
Duration: 5 months
Develop a prototype integrating this technology's algorithms into existing systems, followed by performance validation and optimization using real-world data.
Phase 3: System Integration and Production Deployment
Duration: 8 months
Based on the validated prototype, proceed with system integration into the production environment, final performance tuning, and preparation for operational launch.
Technical Feasibility
This technology can be integrated into the intra-prediction unit of existing image encoding and decoding systems as a software module addition or update. The patent claims define clear functional blocks such as the linear model calculation unit, chrominance component prediction unit, and chrominance component correction unit, which can be efficiently implemented on existing hardware resources. It is estimated that this approach reduces adoption barriers by not requiring large-scale investment in new dedicated hardware, instead leveraging existing general-purpose processors or GPUs.
Success Scenario
Implementing this technology could reduce data transfer bandwidth for high-definition video content delivery by up to 20% compared to current methods. This could enable simultaneous delivery to more users with equivalent infrastructure and ensure stable supply of next-generation content like 8K/VR. Ultimately, this is estimated to achieve both reduced operational costs and enhanced customer experience.
Patent Record
APPLICATION NO.
特願2023-143931
REGISTRATION NO.
7623447
FILING DATE
2023/09/05
GRANT DATE
2025/01/20
EXPIRATION DATE
2043/09/05
PATENT HOLDER
日本放送協会
Examination History
2023年09月05日
出願審査請求書
2024年09月17日
拒絶理由通知書
2024年11月13日
手続補正書（自発・内容）
2024年11月13日
意見書
2024年12月17日
特許査定