Market Context — Why This Technology, Why Now

The relentless growth of digital content, from streaming services to IoT-enabled surveillance and remote work collaboration, places immense pressure on data infrastructure. Companies face a dual challenge: delivering ever-higher quality video while simultaneously managing spiraling storage and transmission costs. This technology offers a strategic advantage by enabling more efficient video compression, crucial for maintaining competitive pricing, expanding service reach, and meeting the escalating demands for high-fidelity visual data across diverse global industries.

Key Competitive Advantages
01

Optimizes filtering to minimize image degradation and maximize encoding efficiency.

02

Reduces data transfer and storage costs by improving encoding efficiency.

03

Provides robust patent protection, validated against 5 prior art documents.

Market Opportunity
Video Streaming Services
$180B–$220B globally (AI est.)
For 4K/8K content and VR/AR video distribution, this technology could enhance user viewing experience and reduce delivery costs by maintaining high image quality while significantly cutting data volume.
Major global video streaming platforms Cloud content delivery network (CDN) providers Next-gen broadcast and media companies VR/AR content developers and platforms
Surveillance and Security Systems
$25B–$30B globally (AI est.)
In surveillance camera systems requiring long-duration, high-definition video recording and efficient transmission, this technology could reduce storage load and provide clearer footage, thereby enhancing evidential value.
Enterprise surveillance system manufacturers Smart city infrastructure developers Security and monitoring solution providers AI-powered video analytics companies
Medical Imaging Diagnostics
$6.5B–$7B globally (AI est.)
This technology could contribute to improved remote diagnosis accuracy and reduced data management costs by efficiently managing and transmitting high-definition medical images (e.g., CT, MRI) while preserving diagnostic quality.
Medical imaging equipment manufacturers Healthcare IT solution providers Telemedicine platform developers AI diagnostic software companies
IP Defensibility — Why Competitors Can't Replicate This
What This Patent Covers

This patent protects an optimized deblocking filter control algorithm for video encoding and decoding, ensuring high image quality and encoding efficiency. Its robustness is evidenced by successfully overcoming examiner objections and establishing patentability against five prior art documents, indicating a low invalidation risk for licensees.

Competitive White Space

This patent focuses on algorithmic control of deblocking filters. White space exists in developing novel hardware architectures for video processing, integrating this technology with advanced AI-driven content analysis, or applying it to real-time, ultra-low-latency applications like surgical robotics.

Economic Impact
~$16.5M/year estimated operational cost savings per facility (est.)
estimated ROI · USD · AI analysis
ROI Calculation Logic

Assuming a 15% average improvement in video encoding efficiency, video streaming services handling petabytes of data annually could reduce storage and network bandwidth costs by approximately 25% per year. For example, a service with ~$65M (AI est.) in annual operating costs could see a ~$16.5M (AI est.) annual reduction. This accounts for direct cost savings from data volume reduction and increased revenue opportunities from enhanced customer satisfaction due to higher image quality.

Speed to Market
6× faster than in-house development
Developing this technology in-house would require an estimated 3 years and significant resources for optimal deblocking filter algorithm design, implementation, and rigorous testing across diverse video content. However, this technology is already patented with a proven technical foundation. This allows licensees to bypass the algorithm development phase, focusing instead on integration and optimization within existing systems, potentially enabling initial deployment within six months.
Competitive Positioning

X: Encoding Efficiency
Y: Video Quality Stability

Business Models & Applications
📝 Software Licensing
Licensing the technology's algorithm as a software module to video equipment manufacturers and content providers. Licensees can integrate this technology into their products and services to achieve product differentiation and enhance competitiveness.
☁️ Video Processing API Service
Offering this technology as a cloud-based API with a usage-based billing model. This allows licensees to leverage high-quality, high-efficiency video processing capabilities without significant upfront investment.
🤝 Joint Development and Customization
A joint development model offering customized technology solutions tailored to specific industry or enterprise needs. This involves integrating with existing licensee systems and building optimized solutions, fostering long-term partnerships.
Adjacent Application Opportunities
🏥 Medical & Healthcare
High-Resolution Medical Image Transmission
Applicable to remote healthcare and AI diagnostics, enabling efficient, low-bandwidth transmission of high-resolution medical images while preserving diagnostic quality. This could shorten diagnosis times and reduce healthcare disparities.
🚗 Autonomous Driving & In-Car Cameras
Real-time High-Reliability Video Processing
Could be applied to autonomous vehicles for real-time, high-efficiency processing of in-car camera footage, maintaining clarity of critical information. This may enhance visibility in adverse weather or at night, improving the reliability of ADAS and autonomous driving systems.
🎮 Gaming & VR/AR
Enhanced Immersive Content Experience
Could deliver high-quality, low-latency video for VR/AR content and cloud gaming, boosting user immersion and providing a more comfortable experience. Reduced data load may also promote broader device compatibility.
Integration Roadmap — Estimated 18-Month Deployment
Phase 1: Technical Validation & Requirements Definition
Duration: 3 months
Evaluate the technology's algorithm within the licensee's existing system environment, defining performance requirements, compatibility, and customization needs. Measure concrete effects through a Proof of Concept (PoC).
Phase 2: Prototype Development & Evaluation
Duration: 6 months
Develop a prototype system incorporating this technology based on defined requirements. Conduct functional tests, performance evaluations, and quality verification under conditions close to actual operation, aiming for optimization.
Phase 3: Production System Deployment & Optimization
Duration: 9 months
Based on prototype validation, deploy the technology into the production system and commence full-scale operation. Continuously monitor performance and optimize post-deployment to ensure maximum effectiveness.
Technical Feasibility
This technology primarily focuses on optimizing algorithms within the filter control units of encoding and decoding devices, enabling software-based implementation. The patented components are highly compatible with generic modules found in existing video processing systems, such as transform/quantization units, inverse transform/inverse quantization units, and synthesis units. This suggests a high probability of integration via software updates or module additions, without requiring extensive hardware modifications. Licensees could therefore minimize new capital expenditure and leverage existing resources for efficient deployment.
Success Scenario
Implementing this technology could enable video streaming services to reduce the network bandwidth required for 4K/8K content delivery by approximately 20%. This may allow for stable, high-quality video delivery to more users, potentially increasing customer satisfaction and attracting new subscribers. Furthermore, operational cost savings could be reinvested into content, strengthening service competitiveness.
Patent Record
APPLICATION NO.
特願2021-527662
REGISTRATION NO.
7069421
FILING DATE
2020/06/23
GRANT DATE
2022/05/09
EXPIRATION DATE
2040/06/23
PATENT HOLDER
日本放送協会
Examination History
2021年12月17日
早期審査に関する事情説明書
2021年12月17日
手続補正書（自発・内容）
2021年12月17日
出願審査請求書
2022年01月18日
早期審査に関する通知書
2022年01月25日
拒絶理由通知書
2022年03月10日
手続補正書（自発・内容）
2022年03月10日
意見書
2022年04月05日
特許査定