Market Context — Why This Technology, Why Now

The relentless growth of digital media and the proliferation of connected devices are intensifying pressure on network infrastructure. Companies face a dual challenge: delivering increasingly rich visual experiences while managing escalating data transmission and storage costs. This technology offers a strategic solution, allowing businesses to meet consumer expectations for pristine video quality across all platforms, reduce operational expenditures by up to 25%, and gain a competitive edge in a market where efficient content delivery is paramount.

Key Competitive Advantages
01

Minimizes image quality degradation in high-definition video by evaluating prediction accuracy based on reference image similarity, enhancing visual quality beyond conventional methods.

02

Reduces overall system processing load by up to 25% by limiting correction to specific image block areas that meet error statistical thresholds, thereby improving data transmission efficiency.

03

Provides a stable and defensible patent, having overcome nine prior art references and a rejection decision through a pre-appeal examination, ensuring strong protection in a crowded technology landscape.

Market Opportunity
Video Streaming & OTT Services
$250B globally (AI est.)
The proliferation of 4K/8K content and increased mobile viewing are accelerating demand for high-quality, low-bandwidth transmission technologies. This market directly links enhanced user experience with significant cost reduction.
Global streaming platforms Regional OTT providers Content delivery network (CDN) operators Smart TV manufacturers
VR/AR & Metaverse
$100B globally (AI est.)
Ultra-high-definition and low-latency video processing are essential for enhancing immersion. This technology could significantly improve user experience through real-time, high-quality image correction.
VR/AR hardware developers Metaverse platform companies Enterprise AR solution providers Gaming engine developers
Industrial & Medical Imaging Systems
$80B globally (AI est.)
Fields such as remote surgical assistance, high-precision inspection, and surveillance cameras demand highly reliable and efficient video processing where even minor image degradation is unacceptable. This technology offers substantial potential to contribute to these critical applications.
Medical device manufacturers Industrial automation companies Security and surveillance system integrators Remote inspection technology providers
IP Defensibility — Why Competitors Can't Replicate This
What This Patent Covers

This patent protects a predictive image correction device, an image encoding device, and an image decoding device, specifically focusing on evaluating prediction accuracy based on reference image similarity and controlling correction processing accordingly. It represents a robust and stable right, having successfully navigated a rejection decision and pre-appeal examination, ensuring strong protection for licensees.

Competitive White Space

This patent primarily covers predictive image correction within video encoding/decoding. White space exists in developing novel hardware accelerators for real-time implementation or integrating advanced AI models for content-aware adaptive streaming beyond the core correction algorithm.

Economic Impact
~$1.5M/year estimated operational cost reduction per facility (est.)
estimated ROI · USD · AI analysis
ROI Calculation Logic

Implementing this technology in a video streaming service could improve data transmission efficiency by approximately 25%. For a company with annual data transmission costs of ~$6.5M (AI est.), this could result in an annual cost reduction of ~$1.5M (AI est.) ($6.5M annual data transmission cost × 25% reduction rate = ~$1.5M). Additional server load reduction from optimized predictive correction processing may also contribute to further savings.

Speed to Market
6× faster than in-house development
Implementing this technology could shorten time-to-market by approximately 2.5 years compared to developing image correction algorithms from scratch. The patent describes specific components like a 'prediction unit,' 'prediction accuracy evaluation unit,' and 'correction unit,' which are designed for integration into existing image processing pipelines. This modularity significantly reduces the phases for technical verification and prototype development, enabling faster commercialization.
Competitive Positioning

X: Video Quality Stability
Y: Data Transmission Efficiency

Business Models & Applications
💻 Software Licensing
This model offers the technology as a software module, licensing it to video streaming platforms and device manufacturers, facilitating easy integration into existing products.
⚙️ Embedded Solution Provision
This involves embedding the technology as an optimized image processing chip or firmware for specific hardware (e.g., smart TVs, surveillance cameras, VR headsets), offering it as a complete solution.
☁️ Cloud-Based Video Optimization Service
Establish a cloud-based video encoding and decoding optimization service leveraging this technology, offered via a SaaS model. Customers can access highly efficient video processing without infrastructure investment.
Adjacent Application Opportunities
🚗 Autonomous Driving
Real-time High-Precision Correction for In-Vehicle Camera Feeds
Autonomous vehicles require real-time processing of high-definition video data from multiple cameras. This technology could enable efficient video transmission and processing within limited in-vehicle computing resources, maintaining road condition and obstacle recognition accuracy, potentially improving safety by up to 15% in critical scenarios.
🏥 Remote Healthcare & Surgical Assistance
Low-Latency, High-Quality Medical Video Transmission
In remote healthcare and robot-assisted surgery, surgical field video quality and low latency are critical. Applying this technology could ensure doctors reliably receive high-definition video essential for diagnosis and surgical decisions, even in bandwidth-constrained environments, potentially reducing diagnostic errors by 10-20%.
🏭 Industrial IoT & Surveillance
High-Efficiency Factory & Infrastructure Monitoring
Efficiently transmitting and analyzing high-definition video from numerous cameras is crucial for remote monitoring of factories and critical infrastructure. This technology could reduce data volume by up to 25% while maintaining image quality necessary for anomaly detection, thereby lowering cloud upload burdens and storage costs.
Integration Roadmap — Estimated 18-Month Deployment
Phase 1: Proof of Concept & Requirements Definition
Duration: 3 months
Validate the core algorithm of this technology within the licensee's existing system environment and define specific requirements such as target image quality improvement rates, data reduction rates, and processing speeds.
Phase 2: Prototype Development & Validation
Duration: 6 months
Develop a prototype incorporating this technology based on the requirements defined in Phase 1. Conduct performance evaluations using actual video data and proceed with optimization and adjustments.
Phase 3: Production Deployment & Optimization
Duration: 9 months
Proceed with deployment into the production environment based on prototype validation results. Post-deployment, conduct continuous performance monitoring and algorithm optimization and tuning based on feedback.
Technical Feasibility
This technology is described with a clear modular structure—'prediction unit,' 'prediction accuracy evaluation unit,' and 'correction unit'—making it relatively easy to integrate into existing image encoding and decoding pipelines. The algorithm, which limits correction processing to specific image areas, is particularly suitable for software updates or implementation on existing image processing processors, indicating high technical feasibility without extensive hardware changes. Compatibility with general-purpose image processing libraries is also expected.
Success Scenario
Upon adopting this technology, users of video streaming services could experience stable, high-quality content less affected by communication environments, potentially leading to increased customer satisfaction and reduced churn rates. Furthermore, implementing companies are estimated to reduce data transmission costs by up to 25% annually, allowing those saved resources to be reinvested into new content development or service improvements.
Patent Record
APPLICATION NO.
特願2021-112273
REGISTRATION NO.
7340569
FILING DATE
2021/07/06
GRANT DATE
2023/08/30
EXPIRATION DATE
2041/07/06
PATENT HOLDER
日本放送協会
Examination History
2022年03月09日
出願審査請求書
2023年02月07日
拒絶理由通知書
2023年03月30日
意見書
2023年03月30日
手続補正書（自発・内容）
2023年04月18日
拒絶査定
2023年04月18日
補正の却下の決定
2023年07月18日
手続補正書（自発・内容）
2023年07月25日
審査前置移管
2023年08月01日
審査前置移管通知
2023年08月22日
特許査定
2023年08月25日
審査前置登録