Market Context — Why This Technology, Why Now

The escalating demand for high-quality video content across streaming, broadcast, and enterprise sectors is pressuring companies to find more efficient data management solutions. Simultaneously, increasing regulatory focus on energy consumption in data centers (Green IT initiatives) and competitive pressures to deliver seamless user experiences necessitate innovation in video compression. This technology provides a strategic advantage by enabling higher quality at lower operational costs, crucial for market leadership.

Key Competitive Advantages
01

Enhances prediction accuracy and encoding efficiency without increasing data volume, potentially reducing bandwidth costs by up to 20%.

02

Achieves high efficiency without increasing encoding device computation time, enabling effective utilization of existing hardware resources.

03

Reduces noise in boundary regions through smoothing filters and weighted averages, enabling more natural and high-definition video representation.

Market Opportunity
🎥 Video Streaming Services
$150B–$200B globally (AI est.)
Subscription services like Netflix and YouTube are expanding, and the proliferation of 4K/8K content makes data efficiency an urgent requirement.
Major streaming platforms Content delivery network (CDN) providers Video-on-demand (VOD) service operators
📺 Broadcast and Media Industry
$50B–$100B globally (AI est.)
The push for 4K/8K terrestrial and satellite broadcasting, along with the shift to IP distribution, necessitates highly efficient and high-quality video transmission technology.
National and regional broadcasters Satellite TV providers Media content producers
☁️ Cloud Computing
$100B globally (AI est.)
Demand is rising for reducing video content storage and processing costs in data centers, and from the perspective of promoting Green IT initiatives.
Hyperscale cloud providers Data center operators Enterprise video platform developers
IP Defensibility — Why Competitors Can't Replicate This
What This Patent Covers

This patent protects a robust video encoding and decoding method, specifically focusing on intra-prediction within video blocks. It defines novel approaches for determining composite regions, applying smoothing filters at boundaries, and using weighted averages for prediction, thereby enhancing encoding efficiency and prediction accuracy. The claims have successfully overcome two office actions, indicating strong technical distinctiveness and low invalidation risk.

Competitive White Space

This patent focuses on intra-prediction for video encoding. White space exists in inter-prediction techniques, adaptive bitrate streaming algorithms, or hardware-specific acceleration architectures, allowing licensees to build complementary IP.

Economic Impact
~$1.0M/year estimated transmission and processing cost savings per facility (AI est.)
estimated ROI · USD · AI analysis
ROI Calculation Logic

Assuming a company transmits and processes 10 PB of video data monthly. A 15% improvement in encoding efficiency could reduce data transmission costs by ~$800K annually (AI est.) (10 PB/month × 12 months × ~$6.67/TB (AI est.) × 15% reduction). Additionally, reduced computational load could lead to ~$400K in annual server operational cost savings (AI est.) (annual server costs of ~$2.5M (AI est.) × 15% reduction). Total estimated economic impact is ~$1.2M annually (AI est.).

Speed to Market
5× faster than in-house development
The operating principles and algorithms of this technology are thoroughly described in the patent specification, indicating that proof-of-concept is complete. Its design philosophy suggests integration into existing video encoding/decoding systems, potentially shortening development time by approximately 3.2 years compared to developing similar technology from scratch. Key technical challenges are resolved, allowing adopting companies to focus on integration and optimization with their current software stacks for rapid market entry.
Competitive Positioning

X: Data Transmission Efficiency
Y: Computational Resource Optimization

Business Models & Applications
🔑 Technology Licensing
Licensing of this technology's algorithms for integration into a licensee's existing products or services is available through a licensing agreement, contributing to rapid technology adoption and business enhancement.
📦 Software Module Sales
Provision of this technology as an implemented encoding/decoding software module, allowing licensees to integrate it into their own systems, significantly reducing development time and costs.
🤝 Joint Research & Development
Optimization of this technology and creation of new value through collaborative R&D focused on specific applications or industry needs is possible.
Adjacent Application Opportunities
🚗 Autonomous Driving & In-Vehicle Video
Real-time High-Efficiency Video Processing
Efficiently compress and transmit high-definition in-vehicle camera footage in real-time, enabling low-latency AI analysis and cloud connectivity. This could enhance the safety and reliability of autonomous driving systems by improving data throughput by up to 20%.
🏥 Telemedicine & Medical Imaging
Efficient Transmission of High-Definition Medical Images
Efficiently transmit and store high-definition medical images from MRI and CT scans, contributing to improved remote diagnostic accuracy and reduced data management costs by potentially lowering storage needs by 15-20%.
🏭 Industrial IoT & Surveillance Cameras
Smart Factory Surveillance Video
Transmit high-quality surveillance video from factories and plants over low bandwidth, improving the accuracy of AI-driven anomaly detection and predictive maintenance. This could reduce data storage and transmission overhead by up to 20%.
Integration Roadmap — Estimated 17-Month Deployment
Phase 1: Technology Evaluation & Requirements Definition
Duration: 3 months
Evaluate the compatibility of this technology's algorithms with the adopting company's existing systems and define specific implementation requirements. Clarify technical challenges and opportunities.
Phase 2: Prototype Development & Validation
Duration: 5 months
Develop a prototype incorporating this technology based on defined requirements. Conduct performance evaluation and functional validation under near real-world conditions, and proceed with optimization.
Phase 3: Production System Integration & Optimization
Duration: 9 months
Based on prototype validation results, proceed with implementation into the production system, aiming for stable operation and performance optimization with large-scale data. Establish a quality assurance framework.
Technical Feasibility
This technology is described as modular components, such as a composite region determination unit and an intra-prediction unit within an encoding device, allowing its algorithms to be integrated into specific stages of existing video encoding/decoding processes. The patent specification indicates relatively easy integration through software updates or firmware implementation on DSP/FPGA, without requiring extensive hardware changes. Operation in general-purpose CPU/GPU environments is also anticipated, highlighting its high feasibility for adoption with minimal new capital investment.
Success Scenario
If adopted, a company's video streaming service could reduce data transmission volume by up to 20% while maintaining equivalent image quality. This could not only lower server bandwidth costs but also enhance user viewing experience (reduced buffering, higher quality), thereby establishing a competitive advantage in both customer satisfaction and profitability.
Patent Record
APPLICATION NO.
特願2020-109183
REGISTRATION NO.
7104101
FILING DATE
2020/06/24
GRANT DATE
2022/07/11
EXPIRATION DATE
2040/06/24
PATENT HOLDER
日本放送協会
Examination History
2020年07月20日
手続補正書（自発・内容）
2020年07月20日
出願審査請求書
2021年06月08日
拒絶理由通知書
2021年08月06日
手続補正書（自発・内容）
2021年08月06日
意見書
2021年11月30日
拒絶理由通知書
2022年01月28日
手続補正書（自発・内容）
2022年01月28日
意見書
2022年06月07日
特許査定