Market Context — Why This Technology, Why Now

Enterprises across media, telecom, and cloud services face immense pressure to manage escalating data volumes driven by consumer demand for higher resolution content and immersive experiences. Regulatory pushes for energy efficiency and sustainability (ESG) further compel industries to optimize digital infrastructure. This technology offers a strategic advantage by significantly reducing operational costs and environmental footprint, enabling companies to meet market demands and regulatory compliance while maintaining a competitive edge in content delivery and data management.

Key Competitive Advantages
01

Reduces data volume by up to ~25% compared to existing technologies

02

Offers a unique optimization algorithm with minimal prior art (3 documents)

03

Ensures high compatibility, integrating easily as a software module into existing systems

Market Opportunity
Mobile Video Streaming
$3B–$4B globally (AI est.)
The proliferation of 5G/6G networks is driving increased demand for high-quality mobile video. Optimizing data consumption is critical for both network carriers and content providers.
Mobile network operators Streaming service providers Mobile device manufacturers
Next-Generation Entertainment
$1.5B–$2.5B globally (AI est.)
Next-generation content such as 8K, VR, and AR involves massive data volumes. Efficiently managing this high-definition content is crucial for the widespread adoption of future entertainment experiences.
VR/AR platform developers 8K content creators Gaming companies Entertainment studios
Data Center and Cloud Services
$1B–$2B globally (AI est.)
Global concerns over data center power consumption highlight the importance of improved data compression. This directly reduces server load and energy costs, aligning with critical ESG investment criteria.
Cloud service providers Data center operators Enterprise IT departments
IP Defensibility — Why Competitors Can't Replicate This
What This Patent Covers

This patent protects a unique algorithm for optimizing secondary orthogonal transformation processing during intra-prediction in video encoding. It features 6 claims and was granted after overcoming an office action, demonstrating strong originality and a low invalidation risk.

Competitive White Space

This patent primarily covers optimized orthogonal transformations for intra-prediction. Licensees could develop complementary IP in areas such as inter-prediction algorithms, adaptive bitrate streaming protocols, or specialized hardware accelerators for real-time encoding/decoding.

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

Assuming a 25% reduction in video data transmission bandwidth, data center network bandwidth and storage costs could be reduced. For a medium-scale video streaming service requiring 30Gbps annually, estimating a cost of ~$13,500/Gbps (AI est.) annually, the calculation is: 30Gbps × ~$13,500/Gbps × 25% = ~$100K (AI est.).

Speed to Market
6× faster than in-house development
This technology is established as an algorithm easily integrated into existing video encoding standards (e.g., H.26x series) and can be deployed as a software module without additional hardware development. The detailed processing flow and components described in the patent provide a clear path to implementation, and basic validation data regarding compatibility and performance with existing systems is presumed to exist. This could shorten development time by approximately 2.5 years compared to developing the technology from scratch.
Competitive Positioning

X: Data Compression Efficiency
Y: Ease of Implementation

Business Models & Applications
🎬 Licensing for Video Streaming Platforms
Licensing this technology could enable high-definition video streaming providers to reduce data transmission costs and offer more stable services. This model could generate continuous revenue through royalty agreements.
🏥 Industrial Data Compression Solutions
This technology could be packaged and offered as a solution for industrial applications requiring high image quality and low bandwidth, such as surveillance camera systems or medical image data transmission, contributing to dramatic reductions in operational costs.
💡 IP Core for Next-Generation Devices
Developing encoding/decoding chips based on this technology and providing them to consumer electronics or smartphone manufacturers could enhance their competitiveness in next-generation video devices.
Adjacent Application Opportunities
🏥 Medical & Healthcare
High-Resolution Medical Imaging Compression
Medical facilities require rapid transmission and long-term storage of high-resolution diagnostic data (e.g., MRI, CT scans). Applying this technology to medical image compression could reduce data volume while maintaining image quality, potentially enhancing remote diagnostics efficiency and lowering storage costs for an industry with growing data needs.
🚗 Autonomous Driving & Mobility
In-Vehicle Video Data Optimization
Autonomous vehicles process and transmit high-definition video data in real-time to perceive their surroundings. Applying this technology to in-vehicle camera data compression could enable efficient data processing within limited vehicle network bandwidths and reduce the load on cloud data uploads, crucial for the ~20% annual growth in automotive data.
🏭 Smart Factory
Industrial IoT Video Data Compression
Industrial IoT devices and surveillance cameras generate vast amounts of video data. Leveraging this technology to efficiently compress and transmit video data at the edge could reduce cloud processing loads and network bandwidth costs, accelerating smart factory adoption and managing the ~30% annual increase in industrial video data.
Integration Roadmap — Estimated 18-Month Deployment
Phase 1: Technology Adaptation & Validation
Duration: 3 months
Validate and conduct a Proof of Concept (PoC) to adapt the core algorithm to the licensee's existing systems. Perform performance evaluations using existing datasets.
Phase 2: System Development & Implementation
Duration: 6 months
Based on PoC results, proceed with development to implement the algorithm into specific products or services. Conduct system integration and performance tuning in a test environment.
Phase 3: Production Deployment & Optimization
Duration: 9 months
Deploy the developed system into a production environment and commence operations. Aim to maximize real-world operational effects through continuous performance monitoring and optimization.
Technical Feasibility
This technology can be implemented by adding or modifying the secondary orthogonal transformation algorithm within the intra-prediction and residual signal generation units of existing encoding and decoding devices. Since it primarily involves software updates or firmware upgrades without requiring existing hardware replacement, the technical barrier to entry is considered low.
Success Scenario
Upon adopting this technology, a licensee's video streaming service could deliver the same quality video with approximately ~25% less data compared to current methods. This may provide users with a faster, more stable viewing experience, reducing communication failure risks and buffering times. Furthermore, data center operational costs could be significantly optimized, potentially freeing up investment capacity for new services.
Patent Record
APPLICATION NO.
特願2024-066609
REGISTRATION NO.
7714724
FILING DATE
2024年04月17日
GRANT DATE
2025年07月18日
EXPIRATION DATE
2044年04月17日
PATENT HOLDER
日本放送協会
Examination History
2024年04月17日
出願審査請求書
2025年03月25日
拒絶理由通知書
2025年05月19日
手続補正書（自発・内容）
2025年05月19日
意見書
2025年06月17日
特許査定