Market Context — Why This Technology, Why Now

The escalating demand for immersive digital experiences, from 8K streaming to metaverse platforms, necessitates radical improvements in video data management. Current encoding standards struggle to balance high quality with low latency and bandwidth efficiency. This technology provides a critical solution by optimizing data compression and processing, enabling companies to meet consumer expectations for seamless, high-fidelity content delivery while managing spiraling infrastructure costs and energy consumption.

Key Competitive Advantages
01

Reduces data volume by ~20% compared to conventional methods by optimizing video encoding processing order and intra-prediction modes, significantly lowering transmission bandwidth and storage costs.

02

Optimizes the search range for intra-prediction mode generation through efficient use of reference pixels and processing order determination, reducing encoder computation time, contributing to energy savings and faster processing.

03

Secured robust patent rights after overcoming examiner rejections against four prior art documents. This strong protection, supported by a reputable patent law firm, offers low invalidation risk and business operational stability.

Market Opportunity
Video Streaming Services
$400B globally (AI est.)
The rapid increase in demand for high-quality, low-latency video streaming from platforms like Netflix and YouTube makes bandwidth and storage cost reduction directly impactful for this market.
Global streaming platform operators Content delivery network (CDN) providers Video transcoding service providers
Broadcast and Telecom Infrastructure
$8B globally (AI est.)
Efficient encoding technology is essential for reducing network load and improving service quality in high-capacity data transmission for 8K/4K broadcasting and 5G communications.
Major telecom equipment manufacturers Broadcast technology providers Satellite communication companies
Surveillance Cameras and IoT
$50B globally (AI est.)
Optimizing real-time video processing and data transmission for edge devices is crucial across diverse IoT sectors, including smart cities and factory surveillance.
Smart camera manufacturers IoT platform developers Industrial automation solution providers
VR/AR and Metaverse
$100B globally (AI est.)
This technology is key to enabling highly immersive user experiences in VR/AR and metaverse environments, which demand ultra-low latency and high-resolution video transmission.
VR/AR headset manufacturers Metaverse platform developers Gaming and entertainment studios
IP Defensibility — Why Competitors Can't Replicate This
What This Patent Covers

This patent protects core aspects of video encoding, specifically the determination of encoding processing order and intra-prediction modes, across 14 claims. It demonstrates robust validity, having overcome examiner rejections against four prior art documents, indicating a low invalidation risk and stable intellectual property for licensees.

Competitive White Space

This patent primarily covers core encoding algorithms. White space exists in developing adaptive bitrate streaming protocols, content-aware encoding strategies, or specialized hardware acceleration architectures that leverage this core technology without infringing.

Economic Impact
~$350K/year estimated cost savings per facility (est.)
estimated ROI · USD · AI analysis
ROI Calculation Logic

For a company processing and distributing 10PB of video data annually, a ~20% data volume reduction (e.g., compared to existing H.265) could save approximately $80K (AI est.) in cloud storage costs and $200K (AI est.) in network bandwidth costs per year. Including data center power consumption reductions, total annual cost savings could reach ~$350K (AI est.).

Speed to Market
6× faster than in-house development
The technology's core algorithms and logical components, such as the 'encoding processing order determination unit' and 'intra-prediction mode determination unit,' are clearly defined in the patent claims. This suggests that implementation can be significantly accelerated by building upon known algorithms in software or hardware description languages (FPGA/ASIC), potentially shortening the development period from proof-of-concept to commercialization by approximately 2.5 years compared to developing similar technology from scratch.
Competitive Positioning

X: Data Compression Efficiency
Y: Real-time Processing Performance

Business Models & Applications
🔗 API/SDK Provision
Offer this technology as an API or SDK to video streaming platforms and content providers, monetizing through a subscription-based model.
📜 IP Core Licensing
License the IP core of this technology to semiconductor and device manufacturers, promoting its integration into a wide range of embedded solutions.
☁️ Cloud Service
Provide a video transcoding service based on this technology via the cloud, enabling users to easily access highly efficient video encoding.
Adjacent Application Opportunities
📺 Broadcast & Streaming
Next-Gen 8K/4K Streaming Encoder
Applying this technology, licensees could develop real-time encoding devices for ultra-high-definition video content like 8K/4K. This could enable efficient utilization of existing streaming infrastructure bandwidth, balancing high-quality user experiences with optimized distribution costs.
🚨 Surveillance & Security
Edge AI-Enabled Smart Cameras
Integrating this technology into surveillance cameras and IoT devices could achieve highly efficient video encoding under limited resources. This would reduce data transmission while maintaining the video quality required for edge AI analytics, enabling real-time situational awareness and rapid response.
🎮 VR/AR & Metaverse
Ultra-Low Latency Spatial Computing
For VR/AR devices and metaverse platforms, this technology could enable ultra-low latency, high-resolution video transmission. This has the potential to enhance user immersion and evolve interactions within virtual spaces to be smoother and more realistic.
Integration Roadmap — Estimated 17-Month Deployment
Phase 1: Technical Validation & PoC
Duration: 4 months
Conduct performance evaluation of this technology within the licensee's existing system environment and execute a Proof of Concept (PoC) for specific use cases to confirm technical suitability.
Phase 2: System Development & Integration
Duration: 9 months
Based on PoC results, conduct detailed design for integrating this technology into existing video processing pipelines or devices, followed by prototype development and testing.
Phase 3: Production Deployment & Optimization
Duration: 4 months
Deploy the developed system into a production environment, optimize performance based on real operational data, and drive continuous improvements for full-scale business implementation.
Technical Feasibility
This technology primarily focuses on optimizing algorithms for video encoding, described as logical components like an 'encoding processing order determination unit' and an 'intra-prediction mode determination unit.' This suggests relatively easy integration into existing video encoder software modules or implementation via hardware description languages for FPGA/ASIC. It could be introduced with minimal major capital investment, potentially through software updates or module additions to existing systems.
Success Scenario
Upon adopting this technology, video streaming services could see a ~20% reduction in bandwidth required for high-quality content delivery, potentially saving tens of millions of dollars annually in infrastructure costs. This could lead to a more stable, high-quality viewing experience for users and provide companies with additional investment capacity for new high-definition content services.
Patent Record
APPLICATION NO.
特願2020-538397
REGISTRATION NO.
7410033
FILING DATE
2019/08/20
GRANT DATE
2023/12/25
EXPIRATION DATE
2039/08/20
PATENT HOLDER
日本放送協会
Examination History
2021年02月15日
手続補正書（自発・内容）
2022年07月20日
出願審査請求書
2023年08月15日
拒絶理由通知書
2023年10月13日
手続補正書（自発・内容）
2023年10月13日
意見書
2023年11月21日
特許査定