Multi-angle Video Object Detection and Angle Selection
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Solution Overview
Problem
Existing video recording technologies do not effectively allow users to seamlessly switch between multiple angles of the same event, limiting user control and customization in viewing experiences.
Innovation Solution
A method and system that identify objects-of-interest in multiple videos captured from different angles and allow users to select and switch between these angles dynamically, providing optimal presentation and alternative viewing options based on user selection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple video angles are recorded and stored, then viewing options and user control are improved, but system complexity and data management burden increase
Solution Approach 1:
The system segments the multi-angle video content by identifying and separating objects-of-interest from different video sources. Each object is tagged with metadata indicating which video angles contain it, allowing the system to serve specific video segments based on user selection rather than managing complete multi-angle video files.
Solution Approach 2:
The system introduces an intermediary layer of object-based metadata and selection logic between the stored video files and the user interface. This intermediary layer processes user selections and automatically determines which video angle to display, simplifying the user interaction while managing the complexity of multiple video sources.
2Ease of operation
If automatic video angle selection is implemented, then user interaction simplicity is improved, but loss of user control and customization decreases
Solution Approach 1:
The system provides feedback to users by displaying information about available video angles and objects-of-interest. Users can see what objects are detected and which angles are available, then make informed selections. The system responds to user selections by automatically switching to the appropriate video angle, combining automation with user control.
3Loss of information
If real-time object identification and video switching is implemented, then viewing experience relevance is improved, but processing time and computational resources increase
Solution Approach 1:
The system performs preliminary action by pre-identifying and tagging objects-of-interest in video content before user viewing. Metadata about objects and their locations in different video angles is prepared in advance, allowing rapid retrieval and switching when users make selections without requiring real-time analysis during viewing.
Data Source
AI summary
A method including identifying a plurality of common objects-of-interest in each of a plurality of videos, where each of the plurality of videos has a different viewing angle of the plurality of objects-of-interest; and automatically selecting a first one of the videos to send to a user based, at least partially, upon a selection by the user of one of the objects-of-interest.


