Market Context — Why This Technology, Why Now

The global media landscape is rapidly evolving, driven by the explosion of HDR content and the fragmentation of viewing devices. Consumers demand pristine visual quality regardless of their display's capabilities, pushing content providers to ensure consistent, high-fidelity experiences. This technology directly addresses the challenge of maintaining visual integrity during HDR-SDR conversion, a critical bottleneck for efficient content delivery and broad audience reach. It offers a solution to meet rising consumer expectations and streamline complex post-production workflows globally.

Key Competitive Advantages
01

Automatically stabilizes face region brightness by extracting face and skin tone in CIE LAB space, significantly improving viewer experience during HDR to SDR conversion.

02

Maintains high image quality and natural gradation by converting to HDR display luminance, applying gain, and performing reference white correction, ensuring realistic SDR video.

03

Establishes market advantage with high uniqueness, indicated by a low number of prior art documents, enabling early market share capture for adopting companies.

Market Opportunity
Broadcast and Streaming Platforms
$3B–$4B globally (AI est.)
The increasing volume of HDR content and the need to support diverse viewing devices make real-time conversion crucial for enhancing the viewer experience.
Major broadcast networks and studios Global streaming service providers Video content delivery network (CDN) operators Live event production companies
Video Production and Post-Production
$1.5B–$2.5B globally (AI est.)
There is high demand for quality assurance and efficiency in delivering SDR content within HDR production workflows, directly reducing re-adjustment labor.
Post-production houses for film and TV Video editing software developers Corporate media production teams Advertising agencies with video departments
Mobile and Device Manufacturers
$6B–$7B globally (AI est.)
This technology is vital for ensuring compatibility between HDR-capable and SDR-only devices, providing an optimized viewing experience across all environments.
Smartphone and tablet manufacturers Smart TV and display panel makers Gaming console developers Automotive infotainment system suppliers
IP Defensibility — Why Competitors Can't Replicate This
What This Patent Covers

This patent protects a video signal conversion device and program that automatically stabilizes brightness during HDR-to-SDR dynamic range conversion, particularly for face regions. The robust claims, developed with an experienced agent and validated through a successful response to an office action, ensure a broad and stable scope of protection.

Competitive White Space

While this patent secures core HDR-SDR conversion with facial recognition, white space exists in areas such as advanced AI for content-aware scene optimization beyond faces, real-time adaptive streaming protocols, or novel display hardware technologies that dynamically adjust to content characteristics.

Economic Impact
~$150K/year estimated operational cost reduction per facility (est.)
estimated ROI · USD · AI analysis
ROI Calculation Logic

Assuming a company currently spends 10 person-months annually on HDR-SDR video quality adjustment (at an estimated cost of $67K/person-month), this technology's automatic correction could reduce adjustment efforts by 20%. This translates to an estimated direct cost saving of $130K annually (10 person-months × 20% × $67K/person-month). Additionally, improved quality could reduce viewer churn, contributing to indirect revenue growth.

Speed to Market
6× faster than in-house development
Developing this technology in-house from scratch would require at least 3.0 years for designing complex algorithms (face recognition, color space conversion, dynamic range conversion, gain control), implementation, and extensive video data validation. Licensing this patent allows leveraging established technical concepts and algorithms, significantly shortening the proof-of-concept and basic research phases. Only about 0.5 years would be needed for integration into existing video processing pipelines and optimization, enabling rapid market entry and establishing a time-to-market advantage over competitors.
Competitive Positioning

X: Video Quality Stability
Y: Implementation Efficiency

Business Models & Applications
💻 Software License Provision
Offer licenses for integrating this technology into video processing software or distribution systems. This could involve an initial setup fee and recurring charges based on usage scale.
☁️ Cloud API Service
Provide this technology as an API via a cloud-based SaaS model, allowing content providers to utilize it from their platforms. This could be offered on a pay-per-use or monthly subscription basis.
🎥 Integration into Video Equipment
Offer this technology as a module to manufacturers of broadcasting and video editing equipment. This model could generate royalty revenue as a product differentiation feature.
Adjacent Application Opportunities
🏥 Healthcare & Medical Imaging
Medical Image Diagnosis Support Systems
Medical images from endoscopes or MRIs can suffer from reduced visibility on SDR displays. Applying this technology could enhance high-definition medical images, displaying them with optimized brightness and contrast on SDR screens, potentially improving diagnostic accuracy by up to 15%.
🚗 Autonomous Driving & Surveillance
Enhanced Visibility for Vehicle & Surveillance Cameras
Camera footage from autonomous vehicles and surveillance systems often has a wide dynamic range due to challenging lighting conditions. This technology could stabilize the visibility of people and obstacles on SDR monitors, potentially improving safety assistance and anomaly detection accuracy by 10-20%.
🎮 Gaming & Immersive Experiences
Real-time Immersion for Gaming & VR/AR
When displaying HDR-enabled games or VR/AR content on SDR devices, this technology could minimize brightness fluctuations of characters and scenes. This could deliver a more natural and immersive visual experience, potentially increasing user engagement by 25%.
Integration Roadmap — Estimated 18-Month Deployment
Technology Evaluation & Requirements
Duration: 3 months
Evaluate suitability for the licensee's existing systems and workflows. Define specific requirements and goals for technology adoption, establishing the foundation for system design.
Prototype Development & Validation
Duration: 6 months
Develop a prototype incorporating this technology based on defined requirements. Conduct functional verification and performance evaluation using real-world data, followed by optimization.
Production Deployment & Optimization
Duration: 9 months
Proceed with full-scale deployment into the production system based on the validated prototype and commence operations. Achieve overall system optimization through post-deployment effect measurement and continuous improvement.
Technical Feasibility
This technology comprises a series of video processing algorithms including face region extraction, color space conversion, gain adjustment, and dynamic range conversion. These are primarily software-implementable, making integration into existing video signal processing pipelines or software platforms straightforward as a module. It can be adopted with high compatibility with existing equipment, minimizing the need for new dedicated hardware investment, thus technical feasibility is considered very high.
Success Scenario
Upon adopting this technology, video adjustment in the HDR-SDR conversion process could become significantly automated, potentially reducing manual adjustment efforts by approximately 20% annually. This could shorten the lead time for content market entry, enabling more efficient delivery of high-quality video content. Furthermore, consistent brightness in video is expected to enhance viewer satisfaction and contribute to brand value improvement.
Patent Record
APPLICATION NO.
特願2020-153891
REGISTRATION NO.
7523292
FILING DATE
2020/09/14
GRANT DATE
2024/07/18
EXPIRATION DATE
2040/09/14
PATENT HOLDER
日本放送協会
Examination History
2023年08月01日
出願審査請求書
2024年04月09日
拒絶理由通知書
2024年04月30日
手続補正書（自発・内容）
2024年04月30日
意見書
2024年06月21日
特許査定