Real-Time Video Compilation from Tracked-Activity Camera Feeds
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Solution Overview
Problem
Existing video recording systems for tracked events, such as sporting and adventure activities, often capture non-dynamic and static footage, leading to uninteresting and unnecessarily long videos, requiring manual editing and distracting participants from the activity.
Innovation Solution
A computing system that automatically controls multiple cameras, processes live video feeds, selects and modifies segments based on tracking data, and compiles a video in real-time, allowing participants to focus on the activity without manual intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual video editing is performed on tracked event footage, then video quality and interest can be improved, but participants are distracted from the activity and time is lost
Solution Approach 1:
The system automatically performs video compilation tasks without human intervention. The computing system receives tracking data, selects relevant video segments, modifies them, and compiles the final video autonomously, allowing participants to focus on their activity while the system handles video production independently
Solution Approach 2:
The system performs video segment selection and modification during the event itself, before the event concludes. By initiating video processing procedures in advance and completing editing while the participant is still engaged in the activity, the system eliminates post-event editing time and delivers the final video immediately after completion
2Productivity
If multiple cameras are used to capture tracked events, then video coverage and quality are improved, but system complexity and processing requirements increase
Solution Approach 1:
The system extracts only the relevant video segments from multiple camera feeds based on tracking data. Instead of processing all footage from all cameras, the computing system identifies and selects specific segments that contain the tracked event, automatically filtering out unnecessary footage and reducing processing complexity
Solution Approach 2:
The system divides the video capture and processing into distinct segments handled by different components. Multiple cameras capture simultaneous segments of the event, the computing system receives and processes these segments independently, then compiles them into a cohesive final video, allowing parallel processing and reduced overall complexity
3Ease of operation
If real-time video processing is performed during the event, then participant satisfaction is improved by providing immediate results, but processing speed and computational resources are challenged
Solution Approach 1:
The video processing procedure continues uninterrupted during the entire event duration. The computing system maintains continuous video feeds from all cameras, processes segments in real-time as they are captured, and accumulates processed segments throughout the event, ensuring that processing work is continuously performed rather than batched, thereby delivering the final video immediately when the event concludes
Data Source
AI summary
Systems and methods disclosed herein include a method implemented by a computing system, the method comprising: receiving tracking data associated with a tracked event and executing an automated video processing procedure including: (i) initiating one or more live video feeds of the tracked events; (ii) receiving a first live video feed of a first portion of the tracked event; (iii) selecting one or more segments of the received first live video feed for further processing; (iv) receiving a second live video feed of a second portion of the tracked event; (v) selecting one or more segments of the received second live video feed for further processing; (vi) modifying the selected one or more segments to improve performance of the automated video processing procedure; and (vii) compiling the modified one or more segments into a first video of the tracked event.