Market Context — Why This Technology, Why Now

The accelerating adoption of high-definition video across all sectors, from entertainment to enterprise, is straining existing network bandwidth and storage capacities. Regulatory pressures for reduced carbon footprints and increased data efficiency are also driving innovation in encoding. This technology provides a timely answer, enabling companies to meet consumer demand for pristine visual experiences while significantly lowering infrastructure costs and supporting environmental sustainability goals. It's crucial for maintaining competitiveness in a data-intensive global economy.

Key Competitive Advantages
01

Achieves High Image Quality and High Compression Ratio: Simultaneously achieves high image quality and high compression ratio, a trade-off in conventional technologies, through optimal control of the deblocking filter.

02

Suppresses Image Degradation with Improved Prediction Accuracy: Improves prediction block accuracy by synthesizing prediction images from multiple segmented regions using weighted averaging, minimizing image degradation.

03

Easy Integration into Existing Systems: Provided as an encoding device, decoding device, and program, allowing for seamless software integration into existing video processing pipelines.

Market Opportunity
🎥 Video Distribution Platforms
$13.5B–$14B globally (AI est.)
With the increase in 4K/8K content and live streaming, optimizing data transfer costs and bandwidth is a critical challenge. This technology maintains high image quality while optimizing distribution costs and enhancing user experience, enabling differentiation.
Global streaming service providers Content delivery network (CDN) operators Enterprise video platform vendors
☁️ Cloud Storage/Data Centers
$10B–$10.5B globally (AI est.)
The demand for storing large volumes of video data handled by businesses and individuals is expanding, making storage cost reduction a key management challenge. This technology is expected to reduce stored data volume and significantly curb operational costs.
Cloud service providers (CSPs) Data center operators Enterprise storage solution providers
🤖 IoT/Surveillance Camera Systems
$3.5B–$4B globally (AI est.)
As demand for high-definition video transmission for remote monitoring and AI analysis grows, stable high-quality transmission over limited network bandwidth is required. This technology improves system reliability and performance through real-time, high-efficiency encoding.
IoT platform developers Smart city solution providers Security and surveillance system manufacturers
IP Defensibility — Why Competitors Can't Replicate This
What This Patent Covers

This patent protects a novel encoding and decoding system, specifically focusing on a unique method for generating prediction blocks via weighted averaging of segmented regions and optimally controlling a deblocking filter based on the synthesized region's position. This approach enhances both image quality and compression efficiency, making it potentially difficult for competitors to circumvent.

Competitive White Space

This patent focuses on encoding/decoding algorithms. White space exists in hardware-accelerated implementations, real-time adaptive bitrate streaming protocols, or integration with AI-driven content analysis and metadata generation, allowing licensees to build complementary IP.

Economic Impact
~$800K/year estimated data cost reduction per facility (est.)
estimated ROI · USD · AI analysis
ROI Calculation Logic

Assuming 2 PB (2,000,000 GB) of annual video data transfer on a large-scale video distribution platform. With an average transfer and storage cost of ~$0.0033/GB (AI est.) and a 12% data volume reduction by this technology, the annual cost savings could be 2,000,000 GB × ~$0.0033/GB (AI est.) × 0.12 = ~$800K (AI est.).

Speed to Market
6× faster than in-house development
This technology is a software-based solution with an established algorithm, provided as an encoding device, decoding device, and program. Detailed technical principles are described in the patent specification, making integration into existing video processing libraries and frameworks relatively easy. This is expected to shorten development time by approximately 2.5 years compared to development from scratch, enabling early market entry and establishing a competitive advantage.
Competitive Positioning

X: Data Compression Efficiency
Y: Image Quality Preservation

Business Models & Applications
📝 Software Licensing
Provide this technology as an SDK or library, licensing it to video distribution platforms and device manufacturers to add high-efficiency encoding capabilities to their products and services.
🤝 Joint Development and Customization
Collaborate on developing custom solutions incorporating this technology, tailored to specific industry or customer needs. This could include optimized implementations for particular codecs or hardware.
☁️ SaaS API Service
Offer this technology as an API service on the cloud, enabling developers to easily integrate high-efficiency video processing functions on a pay-as-you-go basis, reducing initial investment.
Adjacent Application Opportunities
🏥 医療・ヘルスケア
High-Definition Medical Image Transmission
This technology could be applied to systems for efficiently transferring and storing high-definition medical images from endoscopes, MRIs, and CT scans without compromising quality. This has the potential to reduce data load in telemedicine and AI diagnostics, supporting faster and more accurate diagnoses.
🚗 自動運転・モビリティ
Real-time In-Vehicle Camera Video Processing
This technology could be applied to efficiently encode and transmit high-definition video data in real-time from multiple cameras in autonomous vehicles. This could reduce the burden on in-vehicle computing resources, contributing to the development of safer and more reliable autonomous driving systems.
🎮 ゲーム・エンターテイメント
High-Efficiency VR/AR Content Delivery
This technology could enable high-quality, efficient delivery of high-resolution, high-frame-rate content for VR/AR headsets and gaming consoles, minimizing network latency. This is expected to provide a more immersive user experience.
Integration Roadmap — Estimated 11-Month Deployment
Phase 1: Technology Evaluation and Requirements Definition
Duration: 2 months
Evaluate the technology's specifications and compatibility with existing systems, defining specific requirements and goals for the adopting company. Define the scope of the PoC and quantify expected benefits.
Phase 2: Prototype Development and Validation
Duration: 4 months
Develop a prototype incorporating this technology based on the defined requirements. Conduct performance evaluations using actual video data, assessing image quality, compression ratio, and processing speed to demonstrate effectiveness.
Phase 3: Production System Deployment and Optimization
Duration: 5 months
Proceed with deployment into the production system based on prototype validation results. Continue performance monitoring and parameter tuning after deployment to maintain optimal conditions tailored to the operational environment.
Technical Feasibility
This technology is provided as an "encoding device, decoding device, and program," implying primarily software-based implementation. The patent claims clearly define modular components like the "composite prediction unit" and "filter control unit," allowing for easy integration as software components leveraging existing modular designs of video processing pipelines. Technical adoption barriers are considered low, as new dedicated hardware introduction is minimized, and existing CPU/GPU resources can be utilized.
Success Scenario
Upon adopting this technology, video distribution platforms could potentially reduce the data volume required for 4K/8K content delivery by up to 20%. This could enable the provision of higher quality content with the same bandwidth, or reduce annual distribution costs by tens to hundreds of millions of dollars while maintaining existing quality. As a result, it is expected to attract new customers, strengthen engagement with existing ones, and expand market share.
Patent Record
APPLICATION NO.
特願2021-543093
REGISTRATION NO.
7474772
FILING DATE
2020/08/28
GRANT DATE
2024/04/17
EXPIRATION DATE
2040/08/28
PATENT HOLDER
日本放送協会
Examination History
2022年02月25日
手続補正書（自発・内容）
2023年07月28日
出願審査請求書
2024年04月02日
特許査定