Market Context — Why This Technology, Why Now

The relentless demand for higher resolution video across all sectors, from entertainment to enterprise, is pushing existing infrastructure to its limits. Companies face escalating costs for data storage and transmission, alongside increasing pressure to meet ESG goals by reducing data center energy consumption. This technology offers a strategic advantage by enabling significant data compression, allowing businesses to deliver superior content experiences, optimize operational expenditures, and align with global sustainability mandates, all while staying ahead of competitors.

Key Competitive Advantages
01

Reduces data volume by up to ~30% by optimizing prediction residuals through pixel-level similarity evaluation and multiple reference images.

02

Maintains high visual quality by selectively applying orthogonal transformation and quantization to prediction residual regions, minimizing degradation under high compression.

03

Reduces processing load by limiting transformation and quantization to partial prediction residual regions, improving computational efficiency over full-region methods.

Market Opportunity
Video Streaming & Broadcasting
$30B–$35B globally (AI est.)
The proliferation of 4K/8K content and VR/AR experiences necessitates high-quality, low-latency video transmission, making improved encoding efficiency a direct competitive advantage.
Major streaming service providers Broadcast network operators Immersive content platforms
Cloud Storage & Data Centers
$15B–$20B globally (AI est.)
With the challenge of storing and managing vast amounts of video data, data compression technology directly leads to efficient storage capacity and reduced operational costs, also contributing to green transformation (GX).
Hyperscale cloud providers Data center operators Enterprise data management solution providers
Surveillance & Security
$10B–$15B globally (AI est.)
As AI-driven video analytics advance, 24/7 high-definition video recording increases data volume. Efficient encoding enables both long-term storage and real-time analysis.
Video surveillance system manufacturers Smart city solution providers AI video analytics developers
IP Defensibility — Why Competitors Can't Replicate This
What This Patent Covers

This patent provides robust protection for an image encoding device, image decoding device, and program, covering multiple aspects of the technology. Its rapid grant within 14 months and successful overcoming of a single office action with precise arguments and amendments indicate clear novelty, inventiveness, and a strong, stable scope of claims with low invalidation risk.

Competitive White Space

This patent primarily covers the core encoding algorithm. White space exists in hardware-accelerated implementations, integration with specific content delivery network (CDN) architectures, or advanced AI-driven content analysis layers that leverage the compressed data.

Economic Impact
~$1.5M/year estimated data-related cost reduction per facility (est.)
estimated ROI · USD · AI analysis
ROI Calculation Logic

Assuming an average 25% reduction in video data volume. For an enterprise processing 100 PB of video data annually, combining storage costs (average ~$0.013/GB/year (AI est.)) and network bandwidth costs (average ~$0.033/GB (AI est.)), the estimated reduction is (100 PB × 0.25) × (~$0.013/GB + ~$0.033/GB) = 25 PB × ~$0.046/GB = ~$1.15M (AI est.). The direct data-related cost reduction, excluding capital investment and operational improvements, is estimated at ~$1.5M per year (AI est.).

Speed to Market
6× faster than in-house development
This technology can be provided as an image encoding/decoding algorithm program. Key technical elements such as motion-compensated prediction, similarity evaluation, and selective transformation/quantization algorithms are well-established. Integrating this as a software update into existing video processing systems is expected to enable rapid deployment. Developing equivalent technology in-house would require at least 3 years for R&D, implementation, and optimization, but this technology could reduce that to approximately 6 months.
Competitive Positioning

X: Video Data Compression Efficiency
Y: High Image Quality Retention

Business Models & Applications
📝 Software Licensing
A model where this technology is provided as a software library or SDK, allowing licensees to integrate it into their own products and services for revenue generation. High royalty rates may be feasible.
🤝 Joint Development & Customization
A model focused on joint customized development based on this technology, tailored to specific industry or corporate needs, with rights and usage fees for the deliverables as revenue sources.
🔗 Platform Integration
By integrating with cloud-based video processing platforms or CDN services and offering this technology as an encoding option, a usage-based billing model can be established.
Adjacent Application Opportunities
🏥 Medical & Healthcare
High-Definition Medical Image Transmission & Storage
Applicable to systems for efficiently transmitting and storing large-volume medical images like MRI and CT scans while maintaining high quality. This could improve remote and AI diagnostic accuracy by up to 20% and reduce data management costs.
🚗 Autonomous Driving & ADAS
Real-time High-Efficiency Processing for In-Vehicle Camera Footage
By efficiently encoding and analyzing the vast camera video data collected by autonomous vehicles in real-time, this technology could reduce in-vehicle processor load by 15-25% and optimize data transmission.
🎮 VR/AR & Metaverse
Low-Latency Streaming for Immersive Content
Applicable to technologies for low-latency, high-efficiency streaming of ultra-high-definition 3D content in VR/AR spaces and the metaverse. This could reduce streaming latency by up to 30% for a more immersive user experience.
Integration Roadmap — Estimated 12-Month Deployment
Phase 1: Technical Validation & Requirements Definition
Duration: 3 months
Conduct technical suitability assessment and performance benchmark tests within the licensee's existing system environment. Define specific implementation requirements and expected benefits.
Phase 2: Prototype Development & Optimization
Duration: 6 months
Integrate the core algorithms of this technology into the licensee's platform and develop a prototype. Conduct testing with real data and optimize performance.
Phase 3: Production Deployment & Operation
Duration: 3 months
Deploy the optimized system into the production environment and commence full-scale operation. Establish continuous performance monitoring and improvement plans to maximize business impact.
Technical Feasibility
This technology is provided as an image encoding device and program, making its integration into existing software-based video processing systems highly feasible. Functional blocks described in the claims, such as the 'motion compensation prediction unit,' 'evaluation unit,' 'determination unit,' and 'transformation/quantization unit,' can be implemented as software modules. This allows for integration into existing encoder/decoder frameworks without significant hardware investment. It is expected to operate with general-purpose CPU/GPU resources, demonstrating high compatibility with existing infrastructure.
Success Scenario
If this technology is adopted, an implementing company's video streaming service could potentially reduce network bandwidth consumption by 20% to 30%. This could enable stable delivery of high-quality content to more users, leading to improved customer satisfaction and new user acquisition. Furthermore, it is estimated to significantly curb storage costs, potentially reducing annual operating costs by several million dollars. Consequently, this could improve business profitability and create capacity for investment in new high-definition services.
Patent Record
APPLICATION NO.
特願2021-021081
REGISTRATION NO.
7059410
FILING DATE
2021/02/12
GRANT DATE
2022/04/15
EXPIRATION DATE
2041/02/12
PATENT HOLDER
日本放送協会
Examination History
2021年02月12日
出願審査請求書
2021年12月21日
拒絶理由通知書
2022年02月21日
意見書
2022年02月21日
手続補正書（自発・内容）
2022年03月15日
特許査定