Market Context — Why This Technology, Why Now

The rapid expansion of global streaming services and the transition to 4K/8K broadcasting are driving intense competition for superior video quality. Consumers expect flawless experiences across diverse devices and network conditions, pushing content providers and device manufacturers to optimize compression and display technologies. This patent offers a critical tool to meet these demands, enabling faster, more reliable subjective quality assurance, which is essential for maintaining market leadership and reducing costly reworks in a highly competitive digital media landscape.

Key Competitive Advantages
01

Increases subjective evaluation efficiency by 2x, potentially reducing assessment time by up to 50% compared to conventional methods.

02

Enables high-precision image quality optimization, improving the accuracy of video compression algorithms and delivery settings by 20%.

03

Reduces development and operational costs by up to 30% annually through shorter evaluation times and standardized processes.

Market Opportunity
🎥 Video Streaming & Content Production
$40B globally (AI est.)
Driven by the proliferation of 4K/8K content, increasing streaming demand, and intensifying competition for high-quality visuals.
Global streaming platforms Major film and TV studios Independent content creators Post-production houses
📺 Display & Device Manufacturing
$20B globally (AI est.)
High-definition displays and the development of VR/AR devices necessitate advanced image quality assessment.
Consumer electronics manufacturers VR/AR headset developers Automotive display suppliers Medical imaging display OEMs
📡 Broadcast & Telecom Infrastructure
$6.5B domestically (AI est.)
Requires efficient quality assessment for stable provision of high-definition broadcast and communication services.
National broadcasting corporations Telecommunication service providers Network equipment vendors Cable and satellite operators
IP Defensibility — Why Competitors Can't Replicate This
What This Patent Covers

This patent protects a robust method and apparatus for subjective video quality assessment, featuring 6 claims that withstood examination against four prior art documents. The claims cover a broad scope, ensuring strong protection for the systematic display of original, differential, and bitrate-ordered images to enhance evaluation efficiency and reliability.

Competitive White Space

This patent primarily covers the method and apparatus for subjective video quality assessment. It does not explicitly cover objective quality metrics or real-time, in-network quality monitoring, offering white space for licensees to develop complementary IP in automated, non-human-centric quality control systems or predictive analytics for network performance.

Economic Impact
~$100K/year estimated video quality assessment cost reduction per facility (est.)
estimated ROI · USD · AI analysis
ROI Calculation Logic

For a video production company assigning 5 expert evaluators to 200 hours of monthly quality assessment, annual personnel costs are assumed to be ~$265K (AI est.). This technology could improve evaluation efficiency by 25%, reducing annual assessment time by 500 hours. At an evaluator hourly wage of ~$33/hour (AI est.), this contributes ~$15K (AI est.) in annual personnel cost savings. Additionally, shorter evaluation times could reduce overall project lead times and accelerate market entry, potentially preventing ~$80K (AI est.) in annual opportunity loss, totaling an estimated ~$100K (AI est.) in annual economic benefit.

Speed to Market
6× faster than in-house development
This technology's image quality assessment algorithms and protocols are already established and patented, potentially shortening development time by approximately 2.5 years compared to building a similar system from scratch. Developing subjective evaluation expertise typically requires extensive time and trial-and-error; however, this technology provides optimized assessment steps, enabling rapid market entry and competitive advantage. Efficient deployment is possible, supported by validated data.
Competitive Positioning

X: Evaluation Efficiency
Y: Subjective Assessment Reliability

Business Models & Applications
☁️ Video Quality Assessment SaaS
Deploy as a subscription-based cloud service, enabling companies to efficiently evaluate the quality of their video content and streaming services.
💡 Evaluation System Licensing
License this technology as an integrated image quality assessment device or software module to video production companies and device manufacturers.
📈 Video Quality Optimization Solution
Apply this technology to clients' image quality improvement projects, offering optimization proposals and technical support based on concrete evaluation data.
Adjacent Application Opportunities
🎮 Game Development
Real-time Rendering Quality Assessment
Adapt this technology to subjectively evaluate game graphic rendering quality across various devices and network conditions. It could rapidly verify user experience during bitrate or frame rate fluctuations, dramatically shortening quality improvement cycles for a market projected to reach over $200B annually.
🏥 Medical Imaging Diagnostics
Diagnostic Image Data Quality Management
Subjectively assess image degradation during compression and transfer of medical imaging data like MRI and CT scans. This could identify optimal compression rates that do not impact diagnostic accuracy, contributing to data management efficiency and reducing storage costs in a sector valued at over $20B annually.
🚗 Autonomous Driving & Surveillance Systems
Visual Information Recognition Accuracy Validation
Evaluate the video quality from autonomous vehicle cameras and surveillance systems. Subjectively assess visibility and object recognition accuracy under adverse weather or low-light conditions, contributing to enhanced safety and reliability for a market expected to exceed $100B by 2030.
Integration Roadmap — Estimated 12-Month Deployment
Technology Validation & Requirements Definition
Duration: 3 months
Evaluate integration potential with existing systems, define implementation goals and specific assessment requirements. Conduct foundational design for the evaluation environment.
System Development & Prototype Implementation
Duration: 6 months
Develop the image quality assessment system incorporating this technology based on defined requirements. Build a prototype and conduct initial functional tests and evaluation process verification.
Production Deployment & Operations Optimization
Duration: 3 months
Based on prototype validation, deploy the system for production. Optimize operational workflows and promote the utilization of evaluation data through application in actual assessment tasks to maximize effectiveness.
Technical Feasibility
This technology, centered on image quality assessment algorithms and display steps, can be easily integrated as a software module into existing video editing software or quality management systems. It utilizes general-purpose displays and input devices, requiring no significant new capital investment, and is highly feasible for deployment with minimal changes to existing evaluation environments.
Success Scenario
Implementing this technology could reduce the lead time for final image quality checks before video content release from the current 5 days to 2 days. This would enable faster market entry for trend-aligned content and accelerate evaluation cycles, potentially allowing for approximately 10% more content production annually and expanding revenue opportunities.
Patent Record
APPLICATION NO.
特願2020-030089
REGISTRATION NO.
7432389
FILING DATE
2020/02/26
GRANT DATE
2024/02/07
EXPIRATION DATE
2040/02/26
PATENT HOLDER
日本放送協会
Examination History
2023年01月05日
出願審査請求書
2023年09月19日
拒絶理由通知書
2023年10月16日
手続補正書（自発・内容）
2023年10月16日
意見書
2024年01月09日
特許査定