Video Event Detection via Device Acceleration and Speed
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Solution Overview
Problem
Manually reviewing and editing videos to extract interesting portions is time-consuming and difficult due to the need to sift through large amounts of video content.
Innovation Solution
A system that identifies events in videos by analyzing the speed and acceleration of an image capture device during recording, using machine-readable instructions to determine the start and end of a video clip based on acceleration and speed data, and generates a clip from the identified moments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual review and editing of videos is performed to extract interesting portions, then the quality of selected content can be ensured, but the time consumption and operational difficulty increase significantly
Solution Approach 1:
The patent replaces the mechanical manual review process with an automated system that uses sensor data (acceleration, speed, position) to identify and extract interesting video portions. The processor analyzes sensor information to automatically determine start and end moments of events, substituting human manual editing with computational analysis.
Solution Approach 2:
The video processing system performs self-service by automatically identifying and extracting interesting portions without requiring manual intervention. The system uses the image capture device's own sensor data to autonomously determine which video segments contain events of interest, enabling the system to serve itself rather than requiring external human operation.
2Measurement precision
If manual video editing is performed to isolate interesting portions, then content quality can be maintained, but operational complexity and difficulty increase
Solution Approach 1:
The patent replaces complex manual video editing operations with automated sensor-based event detection. The system uses acceleration, speed, and position data from the image capture device to automatically identify event boundaries, substituting difficult manual editing tasks with straightforward sensor analysis performed by the processor.
Solution Approach 2:
The patent introduces sensor data (acceleration, speed, position information) as an intermediary between the video content and the editing process. This intermediary provides objective, measurable criteria for event detection, making the editing process easier and more reliable than direct manual review of video content alone.
3Productivity
If automated event detection using sensor data is implemented, then processing speed and automation are improved, but system complexity increases
Solution Approach 1:
The patent makes the image capture device multi-functional by integrating both video capture and event detection capabilities into a single device. The sensor system serves multiple purposes: it provides data for automated event detection while also being part of the standard video recording functionality, reducing overall system complexity through universal design.
Solution Approach 2:
The patent merges the video capture function with the event detection function into a unified system. The processor simultaneously handles video data and sensor data, combining multiple functions into a single integrated processing pipeline, which improves productivity while managing system complexity through consolidation.
4Measurement precision
If comprehensive sensor data analysis is performed to identify events, then detection precision is improved, but computational requirements and processing complexity increase
Solution Approach 1:
The patent extracts and uses only the essential sensor data elements (acceleration, speed, position) needed for event detection, separating these critical measurements from other potentially useful but computationally expensive data. This selective extraction maintains detection precision while reducing overall computational requirements.
Data Source
AI summary
An image capture device may experience motion while capturing a video. A video clip may be generated from the video. The beginning of the video clip may be identified based on acceleration of the image capture device during capture of the video, while the ending of the video clip may be identified based on speed of the image capture device during capture of the video.