Smart Glasses Real-Time Highlight Replay
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Solution Overview
Problem
Spectators at live sports events miss highlights due to the inability to view them in real-time playback, leading to a diminished viewing experience.
Innovation Solution
A video playback method using smart glasses that capture live events, extract key highlights through image and audio analysis, and automatically replay these highlights in real-time on the glasses.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If spectators watch live events in real-time, then they can see the event as it happens, but they cannot view highlights in time and miss key moments
Solution Approach 1:
The system performs preliminary actions by capturing and analyzing video content during the live event, identifying highlight moments in advance before the spectator finishes watching. This allows the system to prepare and present highlights immediately after they occur, eliminating the time delay traditionally associated with highlight playback.
Solution Approach 2:
The system implements feedback by continuously analyzing the live video stream, detecting key moments through image and audio analysis, and immediately feedbacking these highlights to the spectator. This closed-loop process ensures that highlights are identified and presented in real-time, maintaining both timeliness and completeness of the viewing experience.
2Loss of information
If spectators use traditional large screens or post-game highlights, then they can view highlights, but they cannot acquire playback in time during the event
Solution Approach 1:
The system replaces traditional mechanical approaches (large screens, post-game compilations) with automated image and audio analysis algorithms. These algorithms continuously process the video stream to identify highlight moments based on visual and auditory patterns, enabling real-time detection and playback without relying on manual editing or delayed presentation.
Solution Approach 2:
The system performs self-service by automatically capturing, analyzing, identifying, and presenting highlights without requiring external intervention. The highlight detection and playback process is autonomous, continuously monitoring the live event and independently determining when to present highlights to the spectator.
3Loss of information
If the system analyzes video content to identify highlights, then it can extract key moments, but it increases processing complexity
Solution Approach 1:
The system applies segmentation by dividing the complex video analysis task into distinct modules: image analysis for visual highlight detection, audio analysis for sound-based event identification, and integration logic for combining results. This modular approach maintains high detection accuracy while managing processing complexity through organized, separable functions.
Data Source
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AI summary
The present application provides a video playback method, a medium, glasses and program product. The video playback method provided by an embodiment of the present application acquires (101) a scene video of an external scene in real time by the smart glasses that are worn, then extracts (102) a target video of a target time period corresponding to key point information from the scene video, and automatically plays back (103) the acquired target video on the smart glasses, so that highlights are automatically played back to a spectator in time during in-person watching, thereby improving the spectator's watching experience greatly.