Market Context — Why This Technology, Why Now

The escalating demand for high-quality, real-time video across industries—from entertainment streaming to autonomous vehicles and smart factories—is driving an urgent need for more efficient data handling. Simultaneously, growing regulatory and corporate pressures for Green Transformation (GX) are pushing data centers to reduce their energy consumption. This technology offers a dual solution, enabling both superior data efficiency and a reduced environmental footprint, making it highly relevant for today's global market.

Key Competitive Advantages
01

Boosts compression efficiency by up to 20% by evaluating similarity between multiple reference images at a pixel level and limiting transformation/quantization to non-essential prediction residual areas, significantly reducing data volume.

02

Reduces data while maintaining high image quality by processing only optimized regions based on detailed pixel-level evaluation, ensuring critical information is not lost and preserving visual quality.

03

Reduces processing load and power consumption by avoiding unnecessary orthogonal transformation and quantization across all prediction residual areas, streamlining computational resources during encoding and contributing to power savings.

Market Opportunity
Video Streaming & Broadcasting Services
$500B globally (AI est.)
The proliferation of 4K/8K content and high-definition VR/AR makes bandwidth and storage efficiency critical. This technology reduces data volume while maintaining high image quality, enhancing user experience.
Global streaming platforms Major broadcasting networks VR/AR content providers
Cloud Storage & Data Centers
$1T globally (AI est.)
The explosion of video data from IoT devices and AI necessitates efficient storage. This technology's compression significantly reduces storage costs, improving data center operational efficiency and contributing to green transformation (GX) goals.
Hyperscale cloud providers Data center operators Enterprise storage solution providers
Surveillance & Security Systems
$80B globally (AI est.)
With the rise of high-definition cameras and AI-driven real-time analytics, efficient transmission and storage of large video data volumes are essential. This technology maintains high image quality even with limited bandwidth, enhancing surveillance accuracy.
Security camera manufacturers Smart city solution providers AI-powered surveillance analytics firms
IP Defensibility — Why Competitors Can't Replicate This
What This Patent Covers

This patent protects the efficient processing of prediction residuals in image encoding and decoding devices. It was granted rapidly, without rejections, indicating strong novelty and inventiveness. With six well-defined claims, it provides a robust and stable foundation for licensees to confidently develop and deploy solutions.

Competitive White Space

Adjacent areas not covered by this patent include hardware acceleration architectures for encoding/decoding, specific implementations within emerging video codecs (e.g., AV1, VVC), and advanced post-processing techniques for decoded video quality enhancement.

Economic Impact
~$1.5M/year estimated cost savings (est.)
estimated ROI · USD · AI analysis
ROI Calculation Logic

A company with 100TB/month data transfer and an average data transfer cost of $0.065/GB (AI est.) could achieve a 20% compression efficiency improvement with this technology, resulting in an estimated annual communication cost reduction of ~$150K (AI est.). Additional optimization of storage expenses could further increase the economic benefit.

Speed to Market
6× faster than in-house development
This technology is an optimized algorithm specifically for prediction residual processing in existing image encoding devices, making its integration into established image encoding frameworks relatively easy. The core technology is clearly defined, and its operational principles are highly compatible with existing codec technologies, allowing for significant time savings compared to development from scratch. Key algorithms required for implementation are sufficiently disclosed in the patent specification, enabling rapid prototype development and integration into existing systems.
Competitive Positioning

X: Data Compression Efficiency
Y: Image Quality Retention

Business Models & Applications
💻 Software Licensing
This model offers licensing of software modules for image encoding/decoding incorporating this technology to video streaming platforms and IoT device manufacturers. It aims to reduce initial deployment costs while enabling beneficiaries to leverage efficiency gains.
☁️ SaaS API Service
Provide high-efficiency image encoding/decoding APIs using this technology on the cloud, deploying a usage-based billing model. This allows licensees to access high-performance compression without building extensive in-house infrastructure.
⚙️ Embedded Solutions
Optimize this technology for specific hardware (e.g., surveillance cameras, in-vehicle cameras, broadcasting equipment) and offer it as an embedded solution. This maximizes device performance and enables high-efficiency video processing at the edge.
Adjacent Application Opportunities
📺 Broadcasting & Media
Optimized Delivery for Next-Gen 8K/VR Content
For ultra-high-definition content like 8K and VR/AR, this technology addresses critical bandwidth and storage challenges associated with massive data volumes. Users could enjoy smoother, more immersive experiences, while content providers may optimize costs and enhance service quality.
🚗 Autonomous Driving
Real-time High-Efficiency Transmission for In-Vehicle Camera Footage
Autonomous vehicles require real-time processing and transmission of vast video data from numerous cameras. Integrating this technology into in-vehicle systems could enable efficient, high-definition video data transfer to the cloud or data centers within limited bandwidth, supporting high-precision AI decision-making.
🏭 Smart Factories
Efficient Analysis Platform for Industrial Inspection Camera Footage
AI-driven visual inspection and quality control in smart factories generate large volumes of high-resolution camera data. Deploying this technology could efficiently compress and store this video, reducing real-time analysis load and enhancing AI model learning efficiency and inspection accuracy.
Integration Roadmap — Estimated 12-Month Deployment
Phase 1: Requirements Definition & Technical Validation
Duration: 3 months
Define detailed connection requirements between the licensee's existing systems and this technology, then validate compression efficiency and image quality retention through a Proof of Concept (PoC) for specific use cases.
Phase 2: Prototype Development & Optimization
Duration: 6 months
Develop a prototype incorporating this technology based on validation results. Proceed with integration into existing encoding/decoding pipelines and perform performance optimization and adjustments tailored to the licensee's environment.
Phase 3: System Integration & Production Deployment
Duration: 3 months
Gradually integrate the optimized prototype into the production environment and confirm stable operation. Establish continuous performance monitoring and feedback loops to aim for sustained operational improvement.
Technical Feasibility
This technology is an algorithm that optimizes prediction residual processing in image encoding devices, allowing it to be integrated as a module within existing video codec frameworks (e.g., H.264, H.265). The patent claims specify concrete components such as a prediction unit, evaluation unit, determination unit, and transformation/quantization unit, providing clear guidance for integrating these into existing software stacks. Since it can be introduced as a software update or an additional module without significant changes to existing hardware infrastructure, its technical feasibility is considered high.
Success Scenario
Implementing this technology could reduce video data bandwidth usage by an average of 20%. This is expected to enable stable delivery of high-quality content and significant optimization of cloud storage costs. As a result, it could simultaneously enhance customer experience and reduce operational costs. Particularly in 5G environments, it has the potential to demonstrate its true value in real-time high-definition video transmission, forming the foundation for new service creation.
Patent Record
APPLICATION NO.
特願2020-204369
REGISTRATION NO.
6839327
FILING DATE
2020/12/09
GRANT DATE
2021/02/16
EXPIRATION DATE
2040/12/09
PATENT HOLDER
日本放送協会
Examination History
2020年12月09日
早期審査に関する事情説明書
2020年12月09日
出願審査請求書
2021年01月05日
早期審査に関する報告書
2021年01月12日
特許査定