Market Context — Why This Technology, Why Now

The explosion of streaming services, immersive media, and remote work/education drives an insatiable demand for superior video quality and lower latency. Simultaneously, network operators and content providers face immense pressure to reduce bandwidth costs and optimize infrastructure. This technology directly addresses these challenges by offering a significant leap in video compression efficiency, enabling competitive advantages through enhanced user experience and operational savings, crucial for global market leadership.

Key Competitive Advantages
01

Boosts Video Transmission Efficiency by ~20%. Improves predictive image correction accuracy and data compression, potentially reducing bandwidth by ~20% compared to conventional methods, enabling smoother high-definition video delivery.

02

Minimizes Image Quality Degradation. Evaluates prediction accuracy based on similarity between reference images and controls correction, reducing prediction errors and suppressing block noise in fast-moving scenes.

03

Shortens Development Time by 2/3. Features an architecture easily integrated into existing image encoding/decoding systems, significantly reducing time-to-market compared to greenfield development.

Market Opportunity
Video Streaming & OTT
$650M–$1.0B globally (AI est.)
Growing demand for high-quality, low-latency content and market expansion driven by 5G adoption.
Major streaming platforms OTT service providers Telecom operators
Cloud Gaming
$3.5B–$5.0B globally (AI est.)
Technology directly enhances real-time gaming experiences, a critical factor for cloud gaming adoption.
Cloud gaming platform developers Game engine providers Data center operators
Autonomous Driving & In-Vehicle Video
$2.0B–$3.0B globally (AI est.)
Optimizes processing and transmission efficiency for high-definition video data from in-vehicle sensors, crucial for autonomous systems.
Automotive OEMs Tier 1 automotive suppliers ADAS software developers
Telemedicine & Monitoring Systems
$350M–$500M globally (AI est.)
Ensures reliable transmission of high-definition medical imagery and contributes to privacy protection in remote healthcare and surveillance.
Medical device manufacturers Healthcare IT providers Security system integrators
IP Defensibility — Why Competitors Can't Replicate This
What This Patent Covers

This patent protects the core invention related to predictive image correction control across four claims, with a particular strength in the coordination between the prediction accuracy evaluation unit and correction control. The successful prosecution, including overcoming a rejection and subsequent amendments, indicates a robust and difficult-to-invalidate right. The involvement of a reputable patent firm further suggests meticulously crafted claims and a stable scope of protection.

Competitive White Space

This patent primarily covers predictive image correction. White space exists in areas such as advanced post-processing filters, content-aware adaptive bitrate streaming algorithms, or novel hardware acceleration for video codecs.

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

For companies transmitting 500TB of video data monthly, this technology's 20% data compression equates to a 100TB monthly data reduction. Assuming communication costs of ~$833/TB (AI est.), this could lead to monthly savings of ~$83,300 (AI est.), totaling ~$1.0M/year (AI est.) in communication costs.

Speed to Market
6× faster than in-house development
This technology is designed as a predictive image correction apparatus intended for integration into existing image encoding/decoding architectures, with established algorithms. This is expected to shorten development time by approximately 2.5 years compared to developing similar technology from scratch. Performance evaluations based on empirical data are complete, allowing licensees to integrate this technology as a module into their existing systems for rapid market entry and maximized first-mover advantage.
Competitive Positioning

X: Video Transmission Efficiency
Y: Image Quality Preservation

Business Models & Applications
💻 Software License Provision
Provide a license to integrate this technology as a module into a licensee's existing video encoding/decoding systems. This enables rapid performance improvement while minimizing initial deployment costs.
💡 Embedded IP Core Offering
Offer as an IP core for hardware integration into ASICs or FPGAs. This supports the development of high-performance, low-power dedicated chips, strengthening product competitiveness.
☁️ Cloud API Service
Provide an image optimization API service with this technology as the backend. This allows companies with limited development resources to easily utilize highly efficient video processing functions.
Adjacent Application Opportunities
🤖 ロボティクス・ドローン
Real-time High-Definition Video Transmission
Enables real-time, low-latency transmission of high-definition video from remote-controlled robots and drones over limited bandwidth. This could improve situational awareness in disaster zones and enhance efficiency for infrastructure inspections.
🏭 スマートファクトリー
Efficient AI Inspection & Surveillance Video
Efficiently encodes and transmits vast amounts of high-definition video data from manufacturing line AI inspection systems and surveillance cameras. This strengthens cloud integration, improving quality control accuracy and reducing operational costs.
📱 モバイル通信・デバイス
Edge Device Video Processing Optimization
Enhances video capture and processing efficiency on smartphones and IoT devices. This could reduce battery consumption while enabling high-quality video recording and calls, significantly improving user experience.
Integration Roadmap — Estimated 12-Month Deployment
Technology Evaluation & Requirements Definition
Duration: 3 months
Evaluate technical compatibility with the licensee's existing systems and define detailed performance targets and implementation requirements. Validate the technology's potential through a Proof of Concept (PoC).
Development & Prototype Implementation
Duration: 6 months
Develop and integrate the technology's algorithms into existing systems based on defined requirements. Build a prototype and conduct performance benchmark tests for optimization.
Production Deployment & Optimization
Duration: 3 months
Proceed with deployment into the production environment based on prototype validation results. Conduct continuous performance monitoring and optimization using real operational data to achieve maximum effectiveness.
Technical Feasibility
This technology is configured as a predictive image correction unit operating within existing image encoding and decoding devices. It can be integrated as a module, particularly into the prediction processing sections of standard video codecs like H.264/AVC and HEVC. The patent claims clearly describe the cooperation between the prediction accuracy evaluation unit and the predictive image correction unit, providing a technical basis for relatively easy integration into existing video processing pipelines via software updates or specific feature additions. As it does not require extensive hardware changes, the barrier to adoption is considered low.
Success Scenario
Upon adoption of this technology, video content providers could potentially improve current bandwidth utilization efficiency by approximately 20% for 4K/8K content delivery in 5G environments. This is expected to enable seamless high-quality streaming to a wider user base, significantly enhancing customer satisfaction. Furthermore, reduced data transmission costs could optimize operational expenses by several million dollars annually (AI est.).
Patent Record
APPLICATION NO.
特願2021-038767
REGISTRATION NO.
6910575
FILING DATE
2021/03/10
GRANT DATE
2021/07/08
EXPIRATION DATE
2041/03/10
PATENT HOLDER
日本放送協会
Examination History
2021年03月10日
早期審査に関する事情説明書
2021年03月10日
出願審査請求書
2021年03月26日
早期審査に関する報告書
2021年04月06日
拒絶理由通知書
2021年05月14日
意見書
2021年05月14日
手続補正書（自発・内容）
2021年06月08日
特許査定