You Are in good company
DeepVA offers multiple visual recognition capabilities to extract any kind of information from images, videos and live streams. Our pre-trained AI models were developed in close cooperation with the media industry and strive for accuracy without compromising speed. We keep an eye on the changing environment and constantly provide flexible AI solutions for upcoming challenges in the industry.
Content producers and TV broadcasters nowadays find it even more important to produce high-quality news articles and video content efficiently. The importance of recognizing people correctly is therefore essential for both editorial and production staff. DeepVA’s Face Recognition is designed to recognize all important public figures, such as people from politics, sports, arts, entertainment and business – for Europe, North America and the rest of the world.
Small things matter! Pay attention to the little details and analyze emotions like “happy”, “sad”, “angry” or “confused”, filter out odd images due to unintentional attributes like “closed eyes” or “open mouth” and detect several other characteristics as well as demographic information and much more! Always find images and videos for the right mood! It’s the perfect addition to Face Recognition!
DeepVA’s Diversity Analysis was developed to provide a solution for more diversity in the media and helps media companies to take this into account already when creating content. This module allows for diversity monitoring in all your contents and lets you gain important insights via reports.
It is always about equal opportunities and social cohesion, especially in the face of increasing social changes.
Recognizing visual concepts in videos and images is important to help media companies effectively repurpose the content they produce.
Being able to recognize and locate landmarks is essential in media broadcasting. DeepVA’s landmark recognition can help you identify the most important landmarks, architectural structures and natural monuments throughout Europe and North America. In addition, it provides you with geodata as part of the results. This module facilitates archiving and retrieval of landmarks.
DeepVA name recognition automatically detects and extracts names, identifies their role, and the geographic location of on-screen name inserts.
Name recognition can be a good extension to face recognition in order to find out who is actually speaking.
Monitoring, monetization, sponsorship measurement, counterfeit detection and brand protection are just a small selection of essential activities in today’s complex media landscape. Brand & Logo Detection is the ideal basis for all these activities and is extremely important for maintaining a clear overview at all times.
Text or text overlays contain relevant information and occur in videos and images in large quantities. Therefore, it is inevitable that textual information must be recognized in real images.
DeepVA’s Text Recognition recognizes and parses any information that is shown on the screen in images and videos. This can be an overlay, text on billboards, signs, documents or any other surface, no matter which font or whether it is handwritten.
Feature films, series, documentaries, sporting events and news are edited together from many different shots. DeepVA’s Shot Boundary Detection helps you see the complexity of a shot list by detecting every slightest change.This makes it possible to skip intros, credits, title sequences and recaps, or find scenes and sequences that have attracted the most interest.
It can be tricky to decode QR Codes in media content, especially if it is only displayed for a short period of time. We decode every QR Code that is displayed and also extract barcodes (EAN13) and the corresponding product names. Use QR codes in your content production to consistently match your media and keep your workflow consistent and meaningful.
With the increase of different devices and social media platforms, it has become more and more challenging for media companies to provide the correct format to their audience.
DeepVA’s Aspect Ration Detection detects all active aspect ratios in videos and images, even if the footage contains letterboxes or pillar boxes, and crops the content smartly and accurately to meet your needs.
Content producers and TV broadcasters nowadays find it even more important to produce high-quality news articles and video content efficiently. The importance of recognizing people correctly is therefore essential for both editorial and production staff. DeepVA’s Face Recognition is designed to recognize all important public figures, such as people from politics, sports, arts, entertainment and business – for Europe, North America and the rest of the world.
Small things matter! Pay attention to the little details and analyze emotions like “happy”, “sad”, “angry” or “confused”, filter out odd images due to unintentional attributes like “closed eyes” or “open mouth” and detect several other characteristics as well as demographic information and much more! Always find images and videos for the right mood! It’s the perfect addition to Face Recognition!
DeepVA’s Diversity Analysis was developed to provide a solution for more diversity in the media and helps media companies to take this into account already when creating content. This module allows for diversity monitoring in all your contents and lets you gain important insights via reports.
It is always about equal opportunities and social cohesion, especially in the face of increasing social changes.
Recognizing visual concepts in videos and images is important to help media companies effectively repurpose the content they produce.
Being able to recognize and locate landmarks is essential in media broadcasting. DeepVA’s landmark recognition can help you identify the most important landmarks, architectural structures and natural monuments throughout Europe and North America. In addition, it provides you with geodata as part of the results. This module facilitates archiving and retrieval of landmarks.
DeepVA name recognition automatically detects and extracts names, identifies their role, and the geographic location of on-screen name inserts.
Name recognition can be a good extension to face recognition in order to find out who is actually speaking.
Monitoring, monetization, sponsorship measurement, counterfeit detection and brand protection are just a small selection of essential activities in today’s complex media landscape. Brand & Logo Detection is the ideal basis for all these activities and is extremely important for maintaining a clear overview at all times.
Text or text overlays contain relevant information and occur in videos and images in large quantities. Therefore, it is inevitable that textual information must be recognized in real images.
DeepVA’s Text Recognition recognizes and parses any information that is shown on the screen in images and videos. This can be an overlay, text on billboards, signs, documents or any other surface, no matter which font or whether it is handwritten.
Feature films, series, documentaries, sporting events and news are edited together from many different shots. DeepVA’s Shot Boundary Detection helps you see the complexity of a shot list by detecting every slightest change.This makes it possible to skip intros, credits, title sequences and recaps, or find scenes and sequences that have attracted the most interest.
With the increasing popularity of streaming portals and social media platforms, the importance of videos is growing. The perfect representation of the content via a thumbnail is therefore essential. With DeepVA’s teaser frame extraction, you don’t have to watch an entire video just to find the most interesting snippet. Based on the key elements of the video, we select the most promising snippets for you. It doesn’t matter in which aspect ratio you need this preview frame, because we crop it so no important content gets lost.
It can be tricky to decode QR Codes in media content, especially if it is only displayed for a short period of time. We decode every QR Code that is displayed and also extract barcodes (EAN13) and the corresponding product names. Use QR codes in your content production to consistently match your media and keep your workflow consistent and meaningful.
With the increase of different devices and social media platforms, it has become more and more challenging for media companies to provide the correct format to their audience.
DeepVA’s Aspect Ration Detection detects all active aspect ratios in videos and images, even if the footage contains letterboxes or pillar boxes, and crops the content smartly and accurately to meet your needs.
DeepVA makes AI training predictable and easy to budget.
Pre-trained face models quickly reach their limits and, in most cases, do not reflect the needs of the media industry. With the Custom Face Models, DeepVA guarantees the possibility to train individuals and especially region-specific personalities. With Few-Shot Learning, media companies are now able to build their own face models in just a few seconds.
Recognizing buildings creates a huge editorial benefit for media companies in their press coverage. With DeepVAs Custom Landmark Model there is now the possibility to easily extend our Landmark Recognition. You are now able to recognize your most relevant landmarks with just a few clicks.
Face Indexing is another great way to recognize faces. This state-of-the-art method of face fingerprinting allows media companies to analyze media data followed by assignment of unique IDs. Thus, unknown persons can be described retrospectively across all your media data without the need for further analysis.
Datasets are essential for training and customizing Al models. However, the amount of data can quickly get overwhelming and time-consuming. DeepVA ensures that handling your data is transparent and intuitive.
Face Dataset Creation is the perfect tool if you don’t have time to collect faces from people yourself. It searches for important people in videos, crops their faces, checks their quality and stores the data in labeled datasets.
Everything is ready to start training your face recognition model.
High quality data is essential for AI training. It is very time consuming to build your own datasets and clean them afterwards.
Face Dataset Evaluation supports the user in building high quality face datasets and evaluates the data to check for variance, diversity and errors.
There are many challenges in building, managing and maintaining AI datasets. DeepVA therefore provides features that make it easy for you to efficiently manage very large datasets while providing all the functionality to maintain data privacy.
DeepVA offers excellent solutions for AI-based content recognition for the media industry. The modules such as face and object recognition, as well as emotion and demographics recognition are essential for industrial application. Compared to the other AI software providers, DeepVA scores with a wide range of services. Another big advantage is that this software runs on a cloud server in the EU, which means there will be no problem meeting the increasingly strict European Privacy Policy regulations as well as the upcoming Digital Markets Act. With DeepVA as a partner, we believe we can perfectly meet all the necessary data safety requirements.
Ralf Hülsmann
Public Cloud Managed Services – Strategy & CTO Office
If you have strict data protection rules or can’t transfer your data to the cloud, simply deploy DeepVA on-premise and virtualize it with Docker, Kubernetes or VM-Ware.
DeepVA can run on every Cloud, that is supporting Docker or Kubernetes like AWS, Google Cloud, Open Telekom Cloud or Microsoft Azure.
Choose whether to manage DeepVA yourself, or have us help you operate the AI platform.
DeepVA is improving on a regular basis. On the one hand, our AI algorithms are getting better, on the other hand, we are still adding concepts or people to our models.
The media landscape is complex and each media company has specific needs and requirements. That’s why we work closely with suppliers and representatives of the media industry to provide media companies the best possible support. Become a DeepVA partner and benefit from an innovative and valuable cooperation.
The sheer number of images and videos makes it difficult to ensure data security and privacy. Whether you use DeepVA on-premise or in the cloud, we guarantee that your data always stays in your control. We promise full transparency and follow the latest compliance guidelines. All our cloud servers are located in Europe and everything we do is 100% GDPR-compliant.
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Designed and engineered in Germany.
Aiconix GmbH
Wannerstraße 19
79106 Freiburg
Germany
The project has indirectly received funding from the European Commission’s Horizon 2020 Framework Programme through the STADIEM project (Grant Agreement 957321)
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