Market Context — Why This Technology, Why Now

The global digital content market is experiencing unprecedented growth, driven by streaming services, social media, and corporate communication needs. As audiences face content overload, the ability to quickly produce captivating, high-quality video summaries and highlights is critical for maintaining engagement and market share. This technology directly addresses the competitive pressure to accelerate content pipelines and optimize resource allocation, enabling companies to stand out in a crowded digital ecosystem and meet the insatiable demand for fresh, impactful video.

Key Competitive Advantages
01

Precisely quantifies visual impact at a frame level using neural networks, extracting appealing video segments with human-like sensitivity.

02

Automates highlight selection and summary creation from vast video footage, potentially reducing editing labor by up to 80%.

03

Objectively assesses video appeal, enabling the creation of unique, high-quality content that captures viewer attention.

Market Opportunity
Media and Broadcasting Industry
$5.5B globally (AI est.)
Contributes to creating highlights for news, sports, and entertainment programs, and improves the efficiency of utilizing archived footage, thereby increasing viewer engagement.
Major broadcast networks Sports media companies Digital news publishers Archival content management platforms
Video Streaming Services
$3.5B globally (AI est.)
Contributes to automatic generation of trailers and digests from vast content libraries, enhancing user engagement and increasing viewer retention rates.
Global streaming platforms Niche content providers Video-on-demand service operators
Corporate Promotion and Marketing
$1.5B globally (AI est.)
Efficiently produces engaging short-form content such as product introductions, event reports, and recruitment videos, maximizing marketing effectiveness.
Marketing agencies Corporate communications departments Event management companies E-commerce platforms
IP Defensibility — Why Competitors Can't Replicate This
What This Patent Covers

This patent protects the core aspects of an AI-driven video extraction apparatus and program through 5 robust claims. It was granted after successfully differentiating from five prior art references, indicating strong patentability and a stable scope of protection. This provides a solid foundation for licensees to confidently integrate the technology and secure a competitive advantage.

Competitive White Space

This patent protects the core method of AI-driven video segment extraction. White space exists in developing real-time content generation, personalized content delivery systems, or advanced interactive video experiences that leverage this core extraction capability.

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

This technology could reduce video highlight selection and summarization time by approximately 50%. For example, reducing 200 hours of monthly editing work to 100 hours, with a labor cost of ~$3,500/month per editor (AI est.), could yield an annual cost reduction of ~$50K/year (AI est.) per editor. Applying this to multiple editors could result in annual savings exceeding ~$350K (AI est.).

Speed to Market
6× faster than in-house development
This technology features an established neural network-based video analysis algorithm, with the core logic for summary video generation already complete. This significantly reduces the several years of R&D (approximately 3.0 years) typically required for companies to develop a similar system from scratch, enabling market entry in a short period of approximately 0.5 years. Integration into existing video processing pipelines is also straightforward, contributing to rapid business deployment.
Competitive Positioning

X: Content Production Efficiency
Y: Summary Video Appeal

Business Models & Applications
☁️ SaaS Offering
Provide AI-powered summarization and highlight extraction as a SaaS to video content production companies. Ensure stable revenue through a monthly subscription model.
🤝 Technology Licensing
License the core algorithm to existing video editing software vendors and platform operators, promoting technology adoption and expanding revenue.
🎥 Content Production Support
Offer high-quality summary video production services leveraging this technology. Strengthen licensee's content creation capabilities and secure new revenue streams.
Adjacent Application Opportunities
🚨 防犯・監視
AI Surveillance for Anomaly Detection
This technology could automatically extract suspicious movements or specific anomalous behaviors from vast security and surveillance camera footage, reducing operator workload. It has the potential to enable rapid situation assessment and response, significantly enhancing security levels by up to 40% faster incident identification.
🏥 医療・ヘルスケア
Automated Extraction of Key Medical Procedure Scenes
AI could automatically identify and extract critical moments from endoscopic surgery or diagnostic video records, such as lesion areas or procedural highlights. This is expected to shorten physician review time by 30%, streamline educational use and case studies, and improve overall medical quality.
🚗 自動運転・車両安全
Hazardous Event Extraction from Driving Footage
This technology could automatically detect hazardous events like accidents or near-misses from dashcam or autonomous vehicle sensor footage, useful for evidence preservation and driving behavior analysis. It has the potential to contribute to traffic safety education and insurance claim processing efficiency by 25%.
Integration Roadmap — Estimated 8-Month Deployment
Planning & Requirements Definition
Duration: 2 months
Define detailed integration requirements with the licensee's existing systems, designing API specifications, data linkage methods, and necessary infrastructure.
System Development & Validation
Duration: 4 months
Optimize the technology's algorithm for the licensee's environment, conducting functional verification and performance evaluation using test data, followed by adjustments.
Production Deployment & Operation Start
Duration: 2 months
Deploy the system into the live operational environment, monitor performance during initial operation, make adjustments, and transition to full-scale operation.
Technical Feasibility
This technology is comprised of a software-based processing flow including video segmentation, sampling, neural network-based score calculation, and extraction. Its architecture is designed for easy API integration with existing video management systems and cloud platforms. It is estimated to be relatively simple to deploy through software updates or module additions, without requiring significant capital investment. Operation on general-purpose hardware is also expected.
Success Scenario
Implementing this technology could significantly reduce the time video content production teams spend manually searching for appealing scenes within vast amounts of footage. This may allow creators to focus on more creative tasks, potentially leading to higher quality final content. As a result, the annual number of producible content pieces could increase by 20%, and time-to-market could be reduced by 30%.
Patent Record
APPLICATION NO.
特願2020-073124
REGISTRATION NO.
7486337
FILING DATE
2020/04/15
GRANT DATE
2024/05/09
EXPIRATION DATE
2040/04/15
PATENT HOLDER
日本放送協会
Examination History
2023年03月01日
出願審査請求書
2024年04月12日
特許査定