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Our expertise in the field of artificial intelligence
Artificial intelligence (AI) is a key factor in the evolution of broadcasting and significantly influences the creation, analysis and distribution of media content. AI systems are taking on more and more tasks such as managing media archives or generating metadata, which is permanently transforming the way the media industry works.
The ORS Group evaluates AI applications to make processes more efficient, develop new services and make existing offers more attractive for our customers.
Using AI to generate metadata for media content
Artificial intelligence (AI) plays a crucial role in generating metadata for moving image content.
Machine learning applications such as visual data analysis or transcription can accurately describe the contents of videos and audio files.
This not only enables faster and easier processing, but also makes archive searches more effective and efficient.
Using cutting-edge AI technologies, the ORS Group is redefining how media content can be optimally categorized and processed. Our goal is to offer our customers an even better user experience by using innovative technologies.
Automatische EPG-Korrektur mit KI
Thanks to automatic EPG (Electronic Program Guide) correction, the quality and timeliness of program information for end users is improved.
Our AI-powered EPG update is especially helpful for unexpected events such as breaking news, special programs or sports broadcasts that often exceed the scheduled broadcast time.
Our system continuously monitors current programs in real time and dynamically adjusts the EPG to reflect even short-term program changes and reliably inform viewers about the current broadcast schedule.
Thanks to these adjustments, the EPG always remains up to date.
Automatic tagging and highlight generation with AI
Thanks to artificial intelligence (AI), media content is automatically tagged and highlights are generated.
These methods are used when preparing media content for streaming portals. Automatic tagging analyzes videos and images using AI to determine appropriate keywords, for example, football matches can be tagged with tags such as "sport," "football," and "goal."
Audiovisual analysis allows the AI to identify and highlight significant moments, including moments of high activity or emotion such as goals in a football match or important events in news broadcasts.
Both methods use deep learning models to learn from large-scale data and simplify the organization of media content and the search for relevant sections.
Text- to -Speech
Text- to -Speech refers to the artificial generation of spoken language from text input. Text- to -Speech applications enable people with visual impairments to hear texts that they would otherwise not be able to read. In film and video production, text- to- speech is used to create subtitles or generate voiceovers for films, videos and advertisements.
Real-time subtitling of live broadcasts
Speech to text applications make it possible to convert spoken language into written text. This allows live broadcasts to be subtitled in real time, increasing accessibility and reaching more viewers. Subtitles are particularly important for deaf or hearing impaired viewers.