Proexe spearheaded the creation of an innovative system harnessing the power of AI for comprehensive analysis and description of audiovisual materials, ordered and serviced by Documentary and Feature Film Studios (WFDiF). From detecting actors' faces, animated characters, emotions, architecture and generating dynamic subtitles from audio paths (and otherwise) to recognition and possibility of seamlessly censoring adult content, our project embodies a groundbreaking approach to content management and moderation. This multifaceted endeavor marks just the beginning of our mission to revolutionize the way we interact with digital media.
The system is designed to enhance the user experience by providing a comprehensive platform for managing, searching, and recommending video content.
The system includes an intuitive graphical user interface (GUI) that allows users to efficiently manage and organize the generated results: tags, descriptions, subtitles, audio files, face miniatures and more.
An API is available for performing searches related to specific phrases and attributes, enabling quick access to relevant search results, video fragments, quotes, and tags, which can be used on the client's website.
The recommendation module utilizes an AI engine to analyze user activity, as well as asset metadata, tags and descriptions, subsequently suggesting the most suitable results from the media library.
Designed with usability in mind, the UI provides intuitive controls and clear navigation, allowing users to interact effortlessly with the extensive array of features, including content moderation and copyright protection. Its custom layout and responsive design ensured a comfortable experience, empowering the client to effectively manage and optimize his AI analysis results with ease.
The system employs advanced algorithms for face detection and person identification, enabling the training and extraction of actors' faces from video material. It also identifies and classifies animated characters, ensuring accurate tagging and categorization. Audio tracks are detected and transcribed into subtitles, which can be translated into multiple languages, and the system can generate any missing audio tracks. Additionally, texts displayed on-screen are recognized using OCR methods, facilitating efficient text extraction and management. The system is equipped with robust content moderation capabilities, detecting profanity and adult content in both visual and audio tracks. It can also recognize characteristic architecture from video fragments and detect distinctive sounds and music, which aids in copyright protection.
The system's efficiency transcends traditional methods, accomplishing in minutes what would otherwise require the collective effort of hundreds of individuals over many weeks or months.
One of the most crucial aspects of the project is the API for searching results, as it enables seamless access to the system's comprehensive video analysis capabilities. This API allows users to search for specific phrases, providing quick and accurate retrieval of relevant video content from the extensive database. By leveraging the AI mechanisms that analyze audiovisual materials, the API ensures that users can efficiently find the most pertinent results. This integration not only enhances the user experience on the VoD portal but also facilitates personalized recommendations, making the system highly effective and user-friendly.
By analyzing user activity and search history, the system curates video suggestions that match his unique interests. It goes a step further by utilizing an AI-generated database of detailed descriptions, ensuring that the recommendations are not only relevant but also intriguing. This makes discovering new content effortless and enjoyable, keeping user engaged with videos he’s interested in.
The system's potential in protecting young viewers and safeguarding copyright is substantial. Its advanced algorithms can detect and make it possible to mask adult content, ensuring a safe viewing experience for underage audiences by automatically filtering out inappropriate material.
Additionally, the system recognizes distinctive sounds and music, enabling it to identify copyrighted content effectively. This capability not only helps in maintaining compliance with copyright laws but also aids in preventing the unauthorized use of protected materials, thereby preserving the integrity of intellectual property.
Unlock your product's potential with Proexe. Our expertise in Android and iOS development ensures market reach and streamlined processes. Using HTML, CSS, React JS, and PHP Laravel, we craft visually stunning experiences. With Google Cloud Platform, security and scalability are guaranteed. Plus, our agile approach means fast, flexible development.