Non-linear Video Navigation via Knowledge Graph Panels
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Solution Overview
Problem
Traditional educational videos restrict users' ability to efficiently navigate through content, as they are presented in a linear format, making it difficult for users to revisit specific portions without fast-forwarding or rewinding.
Innovation Solution
A method and system for non-linear video navigation that collects and extracts metadata from video content, maps user profile data to a knowledge graph, and creates navigational panels allowing users to interact with video content in a personalized order, enabling efficient access to specific parts based on proficiency and content categories.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If educational videos are presented in a linear format, then the video structure is simple and easy to produce, but users cannot efficiently navigate to specific portions of interest
Solution Approach 1:
The video content is segmented into discrete chapters or sections that can be independently navigated. Each segment is identified with metadata tags that enable the navigation system to locate and present specific portions to the user without requiring linear playback through the entire video.
Solution Approach 2:
A navigation interface acts as an intermediary between the user and the video content. This intermediate layer provides chapter lists, time stamps, and search capabilities that allow users to access specific video portions directly, eliminating the need for manual fast-forwarding or rewinding.
2Loss of time
If users need to revisit previous portions of a video, then they can review content they already know, but they must fast forward and rewind through the entire video to find desired content
Solution Approach 1:
The video content is pre-segmented into chapters with descriptive metadata during the video creation process. This preliminary organization allows the navigation system to quickly locate and present relevant content sections to users without requiring real-time searching or manual navigation through the entire video.
3Adaptability or versatility
If the video navigation is rigid and linear, then the video player is simple to implement, but it restricts users' ability to efficiently navigate for desired content
Solution Approach 1:
The navigation system transitions from a static, linear playback mode to a dynamic, multi-dimensional navigation structure. Users can jump between chapters, revisit previous sections, and access content in non-sequential order based on their learning needs and preferences.
Solution Approach 2:
The navigation interface serves multiple functions: it displays chapter lists, provides time stamps, enables searching, and allows direct jumping to specific content sections. This multi-functional approach consolidates various navigation needs into a single unified interface.
Data Source
AI summary
An embodiment of the invention may include a method, computer program product and computer system for non-linear video navigation. The method, computer program product and computer system may include a computing device that collects source content and source content metadata from a content device. The computing device may extract the metadata from the source content and store the source content and the metadata on a server. The computing device may receive user profile data from a user device. The computing device may map the semantic data of the source content, the metadata, and the user profile data to a knowledge graph. The computing device may create navigational panels for navigating the source content based on the knowledge graph, the navigational panels enabling non-linear navigation of the source content by a user. The computing device may provide the navigational panels to the user device.