Market Context — Why This Technology, Why Now

The demand for immersive digital experiences, from high-fidelity metaverse environments to real-time 8K broadcasting, is pushing the limits of current infrastructure. Companies face immense pressure to deliver superior visual quality without incurring prohibitive data storage and transmission costs. This technology directly supports this trend by enabling a 15-20% reduction in data footprint, allowing for richer content delivery and lower operational overhead in a rapidly expanding global market projected to grow at an 18.5% CAGR.

Key Competitive Advantages
01

Minimizes image degradation in ultra-high-definition video by using a uniform scaling list during ACT, maximizing visual quality for next-generation high dynamic range content.

02

Significantly improves encoding efficiency, reducing data volume by up to 20% through advanced predictive residual processing and quantization control, enhancing network bandwidth and storage utilization.

03

Supports a wide range of video content, compatible with diverse image formats composed of three or more components (e.g., first, second, and third components), applicable to various next-generation video applications.

Market Opportunity
Video Streaming and Broadcasting
$200B globally (AI est.)
The increasing volume of 4K/8K content and the demand for real-time live streaming are driving the need for highly efficient encoding technologies.
Global streaming service providers Major broadcast networks Content delivery network (CDN) operators Professional video equipment manufacturers
VR/AR and Metaverse
$150B globally (AI est.)
Highly immersive experiences require ultra-high-definition, low-latency video processing, for which this technology provides a foundational solution.
Metaverse platform developers VR/AR headset manufacturers Immersive content creators Gaming engine developers
Cloud Storage and Data Centers
$100B globally (AI est.)
Efficient storage and transfer of large-volume video data directly contribute to reduced operational costs and improved service quality, driving increased demand.
Cloud service providers Data center operators Enterprise storage solution vendors Media asset management (MAM) system developers
IP Defensibility — Why Competitors Can't Replicate This
What This Patent Covers

This patent protects an encoding device, decoding device, and program, specifically covering methods to suppress image quality degradation during color space conversion while maximizing encoding efficiency. The patent's broad scope, with 18 claims, and its successful prosecution against examiner objections demonstrate robust protection, ensuring stability for licensees until 2042.

Competitive White Space

This patent primarily covers the core encoding algorithms. White space exists in developing specialized hardware accelerators for real-time encoding, integrating with dynamic adaptive streaming protocols, or creating novel content protection and watermarking solutions.

Economic Impact
~$1.0M–$3.5M/year estimated operational cost reduction per facility (est.)
estimated ROI · USD · AI analysis
ROI Calculation Logic

This technology could reduce high-quality video content data volume by an estimated 15% annually. For example, for a facility utilizing 100 PB of storage per year, a 15 PB reduction could lead to approximately $1M (AI est.) in annual cloud storage cost savings (assuming $65K/PB (AI est.)). Further reductions in network bandwidth usage fees are also anticipated.

Speed to Market
6× faster than in-house development
This technology's core algorithms for the prediction unit, residual generation unit, color space conversion unit, quantization control unit, quantization unit, and entropy encoding unit are thoroughly established in the patent specification. This allows licensees to significantly reduce R&D efforts from scratch and enables rapid market entry by integrating the modules into existing systems. The fundamental technical framework is already proven, which is expected to shorten the validation phase.
Competitive Positioning

X: Encoding Efficiency (Data Reduction Rate)
Y: Image Quality Preservation

Business Models & Applications
💻 Software Licensing
License this technology as an embedded software module to video streaming platform operators and device manufacturers. This could be offered via OEM agreements or as an SDK.
📺 Content Distribution Service Application
Integrate this technology into proprietary video streaming or VOD platforms to offer high-quality, low-bandwidth services ahead of competitors, enhancing customer satisfaction and profitability.
📱 Chipset and Device Integration
Embed this technology into video processing chipsets and devices such as smartphones, smart TVs, and VR/AR headsets to achieve product differentiation and performance improvements.
Adjacent Application Opportunities
🚗 Autonomous Driving & Surveillance
Real-time High-Definition Video Analysis Systems
This technology could be applied as a foundational solution for efficiently encoding, transmitting, and analyzing high-definition video data from multiple cameras in real-time for autonomous vehicles and advanced surveillance systems. It could ensure data reliability under bandwidth constraints and improve the accuracy of AI-driven situational awareness.
🔬 Medical & Scientific Imaging
Large-Volume Medical Image Data Management
Applicable to systems for efficiently encoding, storing, and sharing large-volume medical images (e.g., MRI, CT scans, microscopic images) without compromising quality. This could reduce data processing loads in healthcare settings and enhance the efficiency of remote diagnostics and collaborative research.
🛰️ Space & Drone Applications
Low-Bandwidth High-Quality Transmission
Effective in fields requiring high-quality video transmission over limited bandwidth, such as satellite communication and drone aerial photography. This technology could ensure stable video streams in challenging environments, potentially improving mission execution capabilities.
Integration Roadmap — Estimated 12-Month Deployment
Phase 1: Technical Assessment & Requirements Definition
Duration: 3 months
Assess the applicability of this technology, define integration requirements with existing systems, and plan a Proof of Concept (PoC). Detailed technical specifications will be reviewed based on the patent disclosure.
Phase 2: Prototype Development & Functional Validation
Duration: 5 months
Develop a prototype incorporating this technology based on defined requirements. Validate achievement of image quality preservation and encoding efficiency targets through encoding and decoding tests using real-world data.
Phase 3: Production Deployment & Optimization
Duration: 4 months
Proceed with deployment into a production environment based on prototype validation results. Conduct performance tuning and system optimization using actual operational data to ensure stable operation and maximize economic benefits.
Technical Feasibility
This technology's processing units can be implemented as software modules, making integration into existing video processing pipelines, media servers, and edge devices relatively straightforward. The claimed components are achievable with general-purpose computational processing, avoiding the need for large-scale dedicated hardware investments. Efficient utilization of existing CPU and GPU resources is expected to enable rapid deployment and operational launch.
Success Scenario
Implementing this technology could enable licensees to reduce high-quality video content distribution costs by up to 20%. This would allow for stable delivery of more high-definition content, potentially leading to increased customer engagement and new user acquisition. Furthermore, it is expected to lower entry barriers into future 8K/VR content markets, enabling the establishment of new revenue streams.
Patent Record
APPLICATION NO.
特願2022-517063
REGISTRATION NO.
7142187
FILING DATE
2021/04/20
GRANT DATE
2022/09/14
EXPIRATION DATE
2041/04/20
PATENT HOLDER
日本放送協会
Examination History
2022年03月22日
手続補正書（自発・内容）
2022年03月22日
早期審査に関する事情説明書
2022年03月22日
出願審査請求書
2022年04月12日
早期審査に関する通知書
2022年04月26日
拒絶理由通知書
2022年06月27日
意見書
2022年06月27日
手続補正書（自発・内容）
2022年07月12日
特許査定