Market Context — Why This Technology, Why Now

The exponential growth of digital media, driven by 5G expansion and advanced display technologies, necessitates breakthroughs in video compression and decompression. Companies face intense pressure to deliver seamless, high-quality video across diverse platforms while managing escalating infrastructure costs. This technology offers a strategic advantage by enabling superior user experiences and operational efficiency, crucial for maintaining competitiveness in the global streaming, communication, and immersive content markets.

Key Competitive Advantages
01

Enhances processing efficiency by over 20% while maintaining high visual quality

02

Reduces video distribution and storage costs by up to 15% annually

03

Improves high-resolution video playback on low-power and mobile devices

Market Opportunity
Video Streaming and Distribution
$300B globally (AI est.)
The proliferation of 5G and advancements in device technology are expanding the demand for high-quality video. Efficient distribution technology is becoming a critical source of competitive advantage.
Global streaming service providers Content Delivery Network (CDN) operators Media infrastructure solution providers
Remote Communication Platforms
$3.5B domestically (AI est.)
High-quality, low-latency, and high-efficiency video transmission is essential for applications such as telehealth, online education, and remote work.
Telehealth platform developers Online education technology providers Enterprise video conferencing solution vendors
VR/AR and Metaverse Content
$100B globally (AI est.)
As VR/AR devices become more prevalent, demand for realistic and immersive high-definition content is growing, making efficient processing critical.
VR/AR device manufacturers Metaverse platform developers Immersive content studios
IP Defensibility — Why Competitors Can't Replicate This
What This Patent Covers

This patent protects a core technical concept for image decoding, specifically the selective application of orthogonal transformation and quantization to only a portion of prediction residuals. The patent successfully overcame an examiner's rejection, indicating its strong novelty, patentability, and robust claim scope, providing a stable foundation for licensees.

Competitive White Space

This patent primarily covers selective residual processing during video decoding. White space exists in novel video encoding algorithms, adaptive streaming protocols, or hardware-specific acceleration architectures for broader video processing pipelines.

Economic Impact
~$1.0M/year estimated bandwidth cost reduction per facility (est.)
estimated ROI · USD · AI analysis
ROI Calculation Logic

Assuming this technology improves video encoding efficiency by an average of 20% compared to conventional methods, and a major video streaming service's annual bandwidth cost is ~$33.5M (AI est.), an annual cost reduction of ~$6.5M (AI est.) could be achieved. For adopting companies, annual cost savings ranging from ~$1.0M to several million USD are estimated, depending on service scale.

Speed to Market
6× faster than in-house development
This technology is an algorithm that complements and optimizes existing image decoding standards, primarily implemented in software. The basic algorithm is established, and theoretical validation data is available. This significantly shortens the time from defining functional requirements to system integration compared to developing similar technology from scratch, potentially allowing deployment readiness in approximately six months.
Competitive Positioning

X: Video Processing Efficiency
Y: High Image Quality Retention Performance

Business Models & Applications
📺 Video Streaming Solution Licensing
Licensing this technology enables video streaming providers to enhance high-quality content delivery efficiency on existing infrastructure, improving customer experience while minimizing new capital expenditure.
💡 Device Chipset IP Development
Developing semiconductor IP incorporating this technology and providing it to smart TV, smartphone, and VR/AR device manufacturers enables high-efficiency image processing for next-generation devices.
🚗 Industrial Real-time Video Processing Systems
Providing high-efficiency video processing systems utilizing this technology for fields requiring real-time video analysis, such as surveillance cameras and autonomous driving, enables high-definition and low-latency data acquisition.
Adjacent Application Opportunities
🏥 医療・教育
Enhanced Remote Real-time Communication
Applying this technology to telehealth and online education platforms could enable clear, low-latency sharing of specialized high-quality visual information, overcoming geographical barriers. This has the potential to significantly improve the quality of medical diagnostics, precise surgical assistance, and interactive learning experiences by up to 20%.
🤖 ロボティクス・自動運転
Efficient High-Definition Sensing Data Processing
This technology could be adapted for efficient processing and transmission of high-definition video data from cameras on autonomous vehicles, drones, and industrial robots. This has the potential to enhance real-time object recognition accuracy and response speed by improving data throughput by 20%, contributing to increased safety and precise operational support.
🏙️ スマートシティ・インフラ
Optimized Large-Scale Video Surveillance
Integrating this technology into systems that manage and analyze video from numerous surveillance cameras and IoT devices in smart city initiatives could efficiently process vast data volumes. This has the potential to improve overall urban safety and enhance infrastructure monitoring capabilities by reducing data load by over 20%.
Integration Roadmap — Estimated 12-Month Deployment
Phase 1: Technology Verification and Prototype Development
Duration: 3 months
Adapt this technology's algorithm to the licensee's existing system, conduct Proof of Concept (PoC) and prototype development. Evaluate and measure effects using existing video data.
Phase 2: System Integration and Validation Testing
Duration: 6 months
Based on the prototype, proceed with full-scale system integration development into the licensee's product or service. Collaborate with quality assurance to conduct performance, compatibility, and stability tests.
Phase 3: Live Operation and Optimization
Duration: 3 months
After completing integration tests, initiate pilot deployment or phased release in a real operating environment. Collect user feedback and implement continuous improvements and optimizations.
Technical Feasibility
This technology is an algorithm that applies orthogonal transformation and quantization only to specific regions of prediction residual data, primarily allowing for software-level implementation improvements. It can be relatively easily integrated into existing video decoding modules and media player codebases, characterized by low adoption barriers as it does not require extensive hardware changes.
Success Scenario
Adopting this technology could enable companies to deliver high-resolution video content more efficiently using existing infrastructure. This is estimated to enhance user experience and customer satisfaction, establishing a clear competitive advantage. Specifically, high-quality video viewing on mobile environments could significantly improve, potentially increasing user engagement.
Patent Record
APPLICATION NO.
特願2024-111752
REGISTRATION NO.
7723152
FILING DATE
2024年07月11日
GRANT DATE
2025年08月04日
EXPIRATION DATE
2044年07月11日
PATENT HOLDER
日本放送協会
Examination History
2024年07月11日
出願審査請求書
2025年04月01日
拒絶理由通知書
2025年06月02日
意見書
2025年07月01日
特許査定