Dubidot

Intelligent media management – live, secure, and GDPR-compliant

about

Dubidot has extensive experience in media management and has established itself as a trusted partner for renowned international companies. Particularly in the enterprise segment, some of the world’s most prominent brands and organizations rely on our solution. From global automotive manufacturers to leading entertainment giants – Dubidot offers solutions designed for the most demanding requirements in managing large video and media databases.

Services

Streamlined Workflow: Increase efficiency and productivity through automated processes.
Deeper Insights: Gain better visibility and control over your media assets.
Proven Reliability: Benefit from a trusted solution used by thousands worldwide.

Dubidot & DeepVA: The MAM Solution for the Enterprise Segment for Media Files and Livestreams

Dubidot offers a powerful Media Asset Management (MAM) solution tailored to the demands of the enterprise segment, going far beyond the management of media files. With full integration of DeepVA’s AI capabilities, our solution not only analyzes videos and images but also livestreams. This allows for real-time content analysis, tagging, and efficient organization – making it ideal for companies and government agencies handling large volumes of media data and livestreams.

A key differentiator of our platform is its GDPR compliance. When dealing with sensitive data, particularly in livestreams, it is crucial that the system can forget data on command. Our solution guarantees that data can be deleted when needed, ensuring the highest levels of security and privacy.

This combination of AI-powered analysis, comprehensive data protection, and the ability to fully integrate livestreams makes Dubidot and DeepVA an essential solution for enterprises and government organizations looking to manage their media content safely and efficiently. The solution remains flexible and scalable, whether processing millions of files or managing live content in real-time.

Integration of DeepVA Features in Dubidot: The Future of Media Management

In a world where data volumes continue to grow, efficient media management is essential. The seamless integration of DeepVA’s advanced AI technologies into Dubidot opens up entirely new possibilities for companies, government agencies, and archives to optimize their media data. This solution combines Dubidot’s powerful Media Asset Management (MAM) platform with DeepVA’s intelligent AI functionalities, creating an innovative and future-oriented system.

Easy Creation of Learning Patterns and Metadata

With DeepVA, patterns – such as faces or specific locations – can be easily uploaded into the system. The AI learns these patterns and applies them to the automated indexing and tagging of large media datasets. Whether it’s thousands of faces or specific locations, these can be seamlessly integrated and later used for precise media analysis.

Key Features of the Integrated Solution:

Automated Tagging of Large Data Volumes
Whether dealing with hundreds of thousands of images, videos, or documents, the integration of DeepVA into Dubidot allows for fast and accurate analysis and tagging. This saves time and improves efficiency in managing large media databases.
Frame-Accurate Facial Recognition and Tagging
DeepVA’s AI recognizes faces in videos and assigns them to the correct frames. Together with Dubidot’s flexible metadata management, detailed search queries can be created, such as searching for protagonists with specific skills or attributes. This function saves valuable time and delivers precise results.
Flexible Deployment
The solution can be implemented in the cloud, on-premises, or as a hybrid model. This allows customers to choose the optimal infrastructure for their needs and scale as required.
Speech-to-Text Technology
With the integrated speech-to-text function, audio and video content can be automatically transcribed. These transcriptions are embedded into the metadata, allowing for targeted searches of text passages in video and audio files.
GDPR-Compliant and Privacy-Secure
Data privacy is a top priority. The solution ensures that all data processing complies with GDPR regulations. Even in sensitive applications, such as law enforcement, all legal privacy requirements are strictly adhered to.

A Practical Example: Facial Recognition and Intelligent Search

Imagine managing a large video and image database. With DeepVA, faces or other patterns can be uploaded into the system, and the AI learns them automatically. When searching through videos, the solution recognizes these faces and precisely assigns them to the relevant scenes. Combined with Dubidot’s comprehensive metadata management, specific search queries, such as searching for individuals with certain skills or attributes, can be made and instantly yield the desired results.

Efficiency through Intelligent Media Management

By enriching media content with intelligent metadata, simple files become valuable assets. Dubidot also tracks detailed information about who accesses which media when, and when combined with DeepVA’s Big Data analysis, valuable insights are generated. These insights help companies and government agencies strategically utilize their data. Thanks to automated indexing and cost-efficient implementation, even with limited budgets, effective media management can be achieved.

Conclusion: The Future of Media Management

The integration of DeepVA into Dubidot offers an innovative, efficient, and flexible solution for managing media data. From automated tagging and frame-accurate facial recognition to comprehensive GDPR compliance – this solution is ideal for companies, government agencies, and archives that need to manage their media and livestreams safely and efficiently.

Current Status of the Integration

We have successfully implemented the Dubidot and DeepVA interface and developed an initial example of facial recognition. This enables us to recognize faces in videos with frame-accurate placement in so-called “locators,” providing precise navigation within the videos, a significant advantage in media management.

Currently, we are focusing on combining our extensive search functions with the new data generated by DeepVA. In the future, we aim to identify individuals not only by name but also through additional information and metadata from entirely different sources. This allows users to find individuals based on contextual information without needing to enter specific names.

Our plan is to gradually add more features, such as automated image tagging and speech-to-text functionality. Facial recognition, however, is our top priority, as we are currently involved in tenders with government agencies. These agencies are particularly focused on the combination of privacy protection, scalability, and AI-driven information analysis – exactly where our solution excels.

DeepVA AI Platform