Dive into videos with dynamic, interactive segments—explore, customize, and engage with content tailored just for you.

Freefuse radically transforms the online video experience from passive consumption to user-directed exploration. FreeFuse videos are presented as a series of linked optional segments that can be viewed, re-viewed, and re-organized in any sequence and at any time.

FreeFuse is faced with the challenge of creating video segments and structuring them within a tree architecture, a task traditionally reliant on human intelligence and manual effort. This manual parsing of thousands of videos presents a significant obstacle to scalability for the FreeFuse project. The process of segmenting videos and organising them into a hierarchical structure requires careful attention to detail and subjective judgement to ensure coherence and relevance within the context of the project’s objectives. However, relying solely on human intervention for this task not only consumes valuable time and resources but also limits the project’s ability to handle a large volume of content efficiently. As a result, there is a pressing need to develop automated solutions or leverage technology to streamline the video parsing process, thereby enhancing scalability and productivity for FreeFuse.

Our team devised a sophisticated pipeline leveraging cutting-edge AI technologies.

‍

The approach seamlessly integrates computer vision and Natural Language Processing (NLP) algorithms.

‍

Computer vision analyzes visual elements within the video frames to identify key objects, scenes, and actions.

‍

NLP techniques parse spoken dialogue, on-screen text, and accompanying audio.

‍

The synergy of these ML technologies emulates human-like intelligence in organizing and structuring video segments.

‍

This innovative solution ensures the extraction of relevant information and its coherent arrangement.

The First Challenge:

Understanding Human Categorization for Video Implementation

‍

Real-Time Feedback Integration:

Implementing algorithms for timely user feedback.

‍

Cross-Platform Compatibility:

Ensuring seamless performance across various devices and operating systems.

‍

Resource Optimization:

Optimising resource usage to enhance system efficiency while maintaining performance standards.