Market Context — Why This Technology, Why Now

The global digital economy is increasingly reliant on high-quality video, from enterprise communications to consumer entertainment. This trend, coupled with rising energy costs for data centers and network infrastructure, intensifies the pressure on businesses to optimize data efficiency. Technologies that can reduce bandwidth and storage requirements by 20-30% without compromising visual fidelity are critical for maintaining profitability, meeting sustainability goals, and delivering superior user experiences in a highly competitive market.

Key Competitive Advantages
01

Reduces Data Transmission Volume by 20-30%

02

Increases Storage Efficiency by 1.3× While Maintaining High Quality

03

Strong Patent Rights Validated Through Examination

Market Opportunity
Video Streaming Services (OTT)
$5B–$15B globally (AI est.)
With increasing demand for high-quality video from platforms like Netflix and YouTube, optimizing data transfer costs and enhancing viewer experience are continuous priorities.
Major streaming platforms Regional content providers Live event broadcasters
Cloud Storage and CDN
$30B–$35B globally (AI est.)
The growing volume of video data stored by businesses and individuals, coupled with the rising need for high-speed, low-cost content delivery, drives demand for this technology.
Cloud service providers Content delivery network operators Enterprise data management solutions
Surveillance Cameras and IoT Video
$6.5B–$7B globally (AI est.)
As AI-driven video analytics become widespread, efficient collection, transmission, and storage of vast amounts of video data are essential for effective operations.
Security system integrators Smart city infrastructure providers Industrial IoT solution developers
Medical Imaging and Tele-diagnosis
$3B–$3.5B globally (AI est.)
The increasing need for secure and rapid transmission and sharing of high-definition medical images, where data efficiency directly impacts diagnostic quality, makes this technology critical.
Medical device manufacturers Healthcare IT providers Telemedicine platform developers
IP Defensibility — Why Competitors Can't Replicate This
What This Patent Covers

This patent protects a decision apparatus, encoding apparatus, decoding apparatus, and program that optimize video encoding efficiency by dynamically adjusting bit allocation based on block segmentation. It was granted after overcoming an office action, establishing clear and robust claims with a low invalidation risk, providing a stable legal foundation for long-term business operations.

Competitive White Space

This patent primarily covers intra-prediction bit allocation. White space exists in advanced inter-prediction techniques, specific hardware acceleration architectures, or integration with AI-driven content analysis for adaptive streaming beyond core compression.

Economic Impact
~$1M/year estimated data-related cost reduction per facility (est.)
estimated ROI · USD · AI analysis
ROI Calculation Logic

For large-scale video streaming services transferring and storing 100 PB of video data annually, this technology's 20% bit rate reduction contributes to both communication costs (assuming ~$33.3K/PB (AI est.)) and storage costs (assuming ~$16.7K/PB (AI est.)). The estimated annual cost reduction is (100 PB × ~$33.3K/PB + 100 PB × ~$16.7K/PB) × 20% = ~$1M (AI est.).

Speed to Market
4× faster than in-house development
This technology is already patented and the core concept is established. This could reduce the deployment period to approximately 10 months, compared to about 3.5 years for companies developing similar technology from scratch. As it is designed for integration as a software module into existing video encoding/decoding systems, it significantly reduces development risk and time, enabling faster market entry.
Competitive Positioning

X: Encoding Efficiency
Y: Data Transfer Cost Reduction

Business Models & Applications
🤝 Technology Licensing
Offer licenses for this technology to video streaming platforms, video equipment manufacturers, and cloud service providers.
📦 Software Module Sales
Provide this technology as a packaged software module, ready for integration into existing encoding and decoding solutions.
💡 Consulting Services
Offer consulting services to optimize encoding efficiency tailored to specific customer video usage environments, supporting successful implementation.
Adjacent Application Opportunities
📺 Live Streaming
Low-Latency, High-Efficiency Live Streaming
For real-time live broadcasts like sports or online events, this technology could reduce data volume while maintaining high quality, enhancing viewer experience and optimizing streaming costs by 20-30%.
🏥 Telemedicine
Secure Transmission of High-Definition Medical Imagery
Enables fast and secure transmission of high-definition medical images (e.g., MRI, CT) with reduced data size, improving remote diagnostic accuracy and collaboration. This is particularly valuable in bandwidth-limited environments, potentially speeding up image transfers by 1.3x.
🚗 Autonomous Driving
Real-time Processing for Automotive Camera Feeds
Efficiently encodes and processes vast amounts of in-car camera data at the edge, reducing cloud transmission load and enabling real-time situational awareness for autonomous vehicles. This could cut data transmission needs by 20-30%.
Integration Roadmap — Estimated 15-Month Deployment
Phase 1: Technical Evaluation & Requirements Definition
Duration: 3 months
Evaluate compatibility with the licensee's existing systems, define performance requirements, and formulate an integration plan.
Phase 2: Prototype Development & Validation
Duration: 6 months
Develop a prototype incorporating this technology and validate encoding efficiency and performance using actual video data.
Phase 3: Production Implementation & Optimization
Duration: 6 months
Based on prototype validation results, implement the technology in a production environment, followed by continuous performance monitoring and optimization.
Technical Feasibility
This technology is configured as a decision apparatus, encoding apparatus, decoding apparatus, and program, allowing for integration as a software module into existing video encoding and decoding pipelines. The 'bit rate allocation means' described in the patent claims functions by integrating into the prediction processing within existing codec frameworks, enabling relatively low-cost and short-term deployment without extensive hardware changes or capital investment.
Success Scenario
Upon adopting this technology, companies could potentially reduce video content distribution costs by an average of 20-30% annually. This would enable them to offer more high-quality content to users, leading to improved customer satisfaction and new user acquisition. Furthermore, the reduced operational costs could be reinvested into new content creation or R&D, accelerating business growth.
Patent Record
APPLICATION NO.
特願2023-008886
REGISTRATION NO.
7415058
FILING DATE
2023/01/24
GRANT DATE
2024/01/05
EXPIRATION DATE
2043/01/24
PATENT HOLDER
日本放送協会
Examination History
2023年01月24日
出願審査請求書
2023年10月17日
拒絶理由通知書
2023年11月16日
意見書
2023年11月16日
手続補正書（自発・内容）
2023年12月19日
特許査定