Market Context — Why This Technology, Why Now

The global demand for high-resolution video content, from 8K broadcasting to immersive VR/AR experiences, continues its rapid ascent. This trend, coupled with the expansion of 5G/6G networks, places immense pressure on data infrastructure. Companies face intense competition to deliver superior user experiences while simultaneously managing escalating network bandwidth and data storage costs. Technologies that can deliver significant efficiency gains without compromising quality are critical for market leadership and sustainable growth.

Key Competitive Advantages
01

Achieves superior image quality and high compression rates, overcoming traditional trade-offs, through integrated weighted prediction and deblocking filter control.

02

Reduces data volume by up to ~20% at equivalent image quality levels, leading to significant savings in network bandwidth and storage costs.

03

Provides strong business stability through robust IP protection, validated by a standard examination against six prior art documents and secured by experienced legal counsel.

Market Opportunity
Video Streaming Services
$65B globally (AI est.)
Increasing demand for high-definition content from platforms like Netflix and YouTube, accelerated by 5G/6G mobile viewing. Bandwidth and storage efficiency directly impact profitability.
Global streaming platforms Regional content providers Mobile network operators
Cloud Storage and Data Centers
$35B globally (AI est.)
Rapid growth in enterprise data and video content storage/management demands. Data compression technology is key to reducing operational costs.
Hyperscale cloud providers Enterprise data storage solutions Data center infrastructure companies
Broadcast and Media Production
$3.5B globally (AI est.)
8K broadcasting and VR content creation require high image quality and efficient data processing. This technology could streamline production workflows.
8K/UHD broadcast equipment manufacturers VR/AR content studios Post-production houses
IP Defensibility — Why Competitors Can't Replicate This
What This Patent Covers

This patent protects an encoding device, decoding device, and program, covering the synergistic technical features of weighted bi-prediction and deblocking filter control. Its patentability was affirmed through a rigorous examination process, including consideration of six prior art documents, indicating a robust and stable right with low invalidation risk.

Competitive White Space

This patent focuses on specific deblocking filter control and weighted prediction. White space exists in adaptive streaming algorithms, content-aware encoding beyond deblocking, or novel hardware architectures for video processing.

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

Assuming a video streaming service provider with annual data transfer of 500PB and storage capacity of 100PB. With a ~20% improvement in encoding efficiency, this technology could reduce network bandwidth costs (estimated at ~$33K/PB annually) and storage costs (estimated at ~$16.5K/PB annually). Calculation: (500PB × ~$33K/PB + 100PB × ~$16.5K/PB) × 20% = (~$16.5M + ~$1.65M) × 0.2 = ~$3.63M. Conservatively, an annual saving of ~$1.0M (AI est.) is expected.

Speed to Market
6× faster than in-house development
This technology's algorithms for improving image quality and encoding efficiency are already established and can be readily integrated into existing video encoding/decoding frameworks (e.g., H.265/HEVC, H.266/VVC). The patent claims describe generic encoding device components, making it highly probable that functionality can be added via software updates or FPGA implementation without significant changes to existing hardware or software environments. This approach could significantly shorten development time compared to in-house efforts, enabling faster market entry.
Competitive Positioning

X: Encoding Efficiency (Data Compression)
Y: Image Quality Preservation

Business Models & Applications
🤝 Technology Licensing
A business model where the technology's algorithms are licensed to video streaming platforms and device manufacturers, generating royalty income.
💡 Joint Development & Solution Provision
A model for customizing this technology to specific customer needs and jointly developing/providing it as a high-efficiency video encoding/decoding solution.
🚀 Integration into Proprietary Products
A model for integrating this technology into proprietary video-related products (cameras, recorders, streaming devices) to enhance product competitiveness and add value.
Adjacent Application Opportunities
🏥 Medical Imaging Diagnostics
High-Definition Medical Image Transmission & Storage
This technology could be applied to systems for efficiently compressing, transmitting, and storing high-definition medical images (e.g., CT, MRI) without compromising quality. It has the potential to maintain diagnostic accuracy while reducing data processing loads, strengthening the foundation for telemedicine and AI-assisted diagnostics, potentially reducing storage needs by ~20%.
🚗 Autonomous Driving & Surveillance
Real-time High-Definition Video Processing
Applicable to systems for real-time transmission and processing of high-definition video from autonomous vehicle cameras or wide-area surveillance. It could reliably transmit critical information over limited bandwidth, contributing to enhanced safety and infrastructure cost reduction, potentially reducing latency by ~15%.
🎮 Gaming & XR/VR
High-Quality Immersive Content Delivery
For XR/VR content and cloud gaming, low-latency and high-quality video transmission are essential for immersive user experiences. This technology could efficiently compress these contents, enabling high-quality streaming delivery and potentially reducing bandwidth consumption by ~20%.
Integration Roadmap — Estimated 12-Month Deployment
Phase 1: Technology Evaluation & Requirements Definition
Duration: 2 months
Evaluate the compatibility of this technology's algorithms with existing systems and define specific performance goals and requirements for implementation.
Phase 2: Prototype Development & Validation
Duration: 4 months
Develop a prototype incorporating this technology based on defined requirements. Conduct validation of image quality and encoding efficiency in a real-world environment.
Phase 3: System Integration & Optimization
Duration: 6 months
Based on prototype validation results, proceed with full-scale system integration into existing products or services and optimize performance in preparation for market launch.
Technical Feasibility
The algorithms for weighted prediction and deblocking filter control in this technology can be integrated as modules into existing video encoding/decoding frameworks (e.g., HEVC, VVC). The patent claims describe generic components of an encoding device, suggesting that functionality can be added via software updates or FPGA implementation without extensive changes to existing hardware or software environments. This approach could allow licensees to achieve efficient integration with reduced technical hurdles.
Success Scenario
If a licensee integrates this technology into their products, it could reduce the network bandwidth required for video content transmission by up to ~20%. This could enable users to enjoy higher quality video with less buffering, potentially improving customer satisfaction and service utilization rates. Furthermore, data storage costs are estimated to be reduced by ~15% annually. As a result, both optimized operational costs and enhanced customer experience value are anticipated.
Patent Record
APPLICATION NO.
特願2024-074538
REGISTRATION NO.
7656120
FILING DATE
2024/05/01
GRANT DATE
2025/03/25
EXPIRATION DATE
2044/05/01
PATENT HOLDER
日本放送協会
Examination History
2024年05月01日
出願審査請求書
2025年03月11日
特許査定