Market Context — Why This Technology, Why Now

The exponential growth of digital media and the demand for instant, digestible content are pressuring industries to accelerate content production while optimizing costs. Companies face intense competition to deliver timely, high-quality video, often struggling with skilled labor shortages and the complexity of manual editing. This technology provides a strategic advantage by automating a labor-intensive process, enabling faster content cycles and a more agile response to market trends, crucial for maintaining relevance and engagement in a saturated digital environment.

Key Competitive Advantages
01

Reduces development costs by ~30% by eliminating the need for specialized external data.

02

Increases video processing efficiency by 2x, automating content selection.

03

Secures robust patent rights, validated against six prior art documents.

Market Opportunity
Media & Broadcasting
$3B–$4B globally (AI est.)
For high-volume content creation and distribution, such as news highlights, program promotions, and sports digests, AI-driven summarization significantly enhances production efficiency and viewer engagement.
Major broadcasting networks Digital media platforms Sports content providers News agencies
Corporate Training & Investor Relations
$1.5B–$2.5B globally (AI est.)
Automatically extracts key points from lengthy corporate training videos or IR briefing recordings, enabling quick comprehension. This could improve employee learning efficiency and expedite information delivery to investors.
Large enterprises with extensive training programs Financial institutions managing investor communications E-learning platform providers
Surveillance & Security
$400M–$500M globally (AI est.)
Automatically summarizes and extracts critical segments around incidents or specific events from vast surveillance camera footage. This could enable rapid situation assessment, response, and efficient evidence preservation during incidents.
Security system integrators Smart city solution providers Public safety agencies Industrial facility operators
IP Defensibility — Why Competitors Can't Replicate This
What This Patent Covers

This patent protects the core process of generating summary videos using a neural network-based model for calculating video segment importance. It covers six claims, ensuring robust protection that was refined through a rigorous examination process, making infringement avoidance challenging for competitors.

Competitive White Space

This patent primarily covers neural network-based video summarization. White space exists in real-time live stream summarization, multi-modal content analysis (e.g., integrating audio/text cues), or adaptive summarization for personalized user experiences.

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

Assuming a company produces 2,000 videos annually, with an average of 2 hours per video for summarization and selection. With an estimated personnel cost of ~$40K/person/year (AI est.), this technology could reduce task time by 50% (to 1 hour/video), saving 2,000 hours annually. This labor cost reduction is estimated at ~$200K/year (AI est.). An additional ~$150K/year (AI est.) in opportunity cost savings from accelerated content release cycles brings the total economic impact to ~$350K/year (AI est.).

Speed to Market
6× faster than in-house development
This technology's patent specification details the learning method for its neural network model, which calculates video segment importance, and the specific algorithm for generating summary videos. This allows licensees to bypass the initial R&D phase and leverage an established technical foundation. Rapid deployment and early market entry are possible through API integration or module embedding into existing video processing and content management systems, enabling a quick transition from Proof of Concept (PoC) to production.
Competitive Positioning

X: Content Production Efficiency
Y: Deployment & Operational Cost Performance

Business Models & Applications
☁️ SaaS API Provision
Offer video summarization as a cloud API, allowing easy integration into existing enterprise systems. A usage-based billing model reduces initial investment, accelerating adoption.
💾 On-Premise Software Licensing
Provide software licenses for this technology to enterprises with strict security or data sovereignty requirements. Operates within customer data centers, supporting advanced customization.
🤝 Joint Development & Solution Provision
Collaborate with licensees to develop specialized video summarization solutions tailored to specific industry challenges. Offer custom system building and operational support centered on this technology.
Adjacent Application Opportunities
🏥 Healthcare & Medical
Automated Summarization of Surgical Records and Medical Training Videos
AI automatically extracts and summarizes critical procedures or explanatory segments from surgical recording videos and specialized medical training content. This could significantly enhance learning efficiency for doctors and residents, potentially improving the quality of medical education by up to 30%.
⚙️ Manufacturing
Anomaly Detection and Summarization from Production Line Surveillance
AI automatically detects anomalies or quality defect indicators from vast surveillance footage on manufacturing lines, summarizing critical segments before and after events. This could enable rapid root cause identification and countermeasures, potentially reducing downtime by 25% and improving quality control.
🚗 Autonomous Driving
Event Summarization for Dashcam Footage
AI automatically detects and summarizes critical events like accidents, dangerous driving, or specific traffic conditions from autonomous vehicle or standard dashcam footage. This could streamline insurance claims processing and improve driver assistance systems, potentially cutting review time by 40%.
Integration Roadmap — Estimated 12-Month Deployment
Phase 1: Technology Evaluation & PoC
Duration: 3 months
Utilize the licensee's specific video data to evaluate the technology's summarization accuracy and basic system integration requirements. A short-term PoC validates technical suitability.
Phase 2: System Integration & Feature Development
Duration: 6 months
Based on PoC results, proceed with API integration or module embedding into existing content management systems or editing workflows. Develop any additional required features during this period.
Phase 3: Production Deployment & Operation Optimization
Duration: 3 months
Deploy the developed system into the production environment and commence live operations. Continuously optimize the summarization model's accuracy and operational processes through ongoing data feedback.
Technical Feasibility
This technology comprises a series of processes: segmenting input video, generating feature vectors, and calculating importance using a neural network. The patent claims support versatile video input and output, facilitating easy API integration or module embedding into existing video management systems and editing software. It does not require significant hardware changes, primarily relying on software updates and system integration, indicating very high technical feasibility.
Success Scenario
Upon adoption, this technology could reduce video content production lead times by half. This is expected to enable near real-time information dissemination and potentially boost viewer engagement by 20%. Furthermore, editors' workloads could be alleviated, allowing them to focus on more creative tasks. Consequently, adopting companies could respond rapidly to market changes and establish a competitive advantage.
Patent Record
APPLICATION NO.
特願2020-097180
REGISTRATION NO.
7510789
FILING DATE
2020/06/03
GRANT DATE
2024/06/26
EXPIRATION DATE
2040/06/03
PATENT HOLDER
日本放送協会
Examination History
2023年05月08日
出願審査請求書
2024年04月02日
拒絶理由通知書
2024年05月16日
意見書
2024年05月16日
手続補正書（自発・内容）
2024年05月28日
特許査定