Video Segmentation Using Sensor Metadata Offsets
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Solution Overview
Problem
Conventional video segmentation techniques in mobile communication terminals are inadequate, often relying on arbitrary author decisions or voice analysis, failing to provide effective segmentation for jumping to specific playback positions within videos.
Innovation Solution
An apparatus and method for segmenting video data in mobile communication terminals using sensor data, where video and sensor data are acquired during shooting, and the changed sensor data values are stored with playback position offsets in a metadata format within the video file, allowing for precise segmentation based on sensor data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional video analyzing method is used, then video segmentation can be achieved, but segmentation accuracy is insufficient
Solution Approach 1:
The patent changes the segmentation parameters from arbitrary author decisions or voice analysis to sensor data parameters (location, temperature, orientation). By using actual sensor measurements taken during video recording, the system achieves more accurate and reliable segmentation that reflects real-world conditions rather than relying on imprecise conventional methods.
Solution Approach 2:
The patent replaces the mechanical/conventional video analysis system with a sensor-based system. Instead of using traditional video frame analysis or voice recognition, the system uses sensor data (location, temperature, orientation) collected during recording to determine segmentation points, providing more accurate and objective segmentation results.
2Measurement precision
If sensor data is stored with video data, then segmentation precision is improved, but data storage requirements increase
Solution Approach 1:
The patent extracts only the necessary sensor data (changed sensor data values) from the complete sensor stream and stores only these segmented portions with the video data. By extracting only the critical sensor data points that correspond to segmentation boundaries rather than storing all sensor data continuously, the system reduces storage requirements while maintaining segmentation precision.
Solution Approach 2:
The patent performs preliminary segmentation of sensor data during the video recording process, identifying and storing only the changed sensor data values at segmentation points before final video processing. This preliminary action filters and prepares only the essential data for storage, reducing the overall data quantity while preserving segmentation precision.
3Ease of operation
If video data is segmented by author decision, then segmentation can be achieved, but ease of operation is reduced
Solution Approach 1:
The patent implements self-service segmentation where the system automatically segments video data based on sensor data changes without requiring author intervention. The system autonomously identifies segmentation points by detecting changes in sensor data (location, temperature, orientation) and creates segments automatically, eliminating the need for manual author decisions and simplifying operation.
Solution Approach 2:
The patent uses sensor data as feedback to automatically control the segmentation process. The system continuously monitors sensor data during video recording and uses the feedback from sensor changes to dynamically determine segmentation points, creating an automated feedback-driven segmentation system that is easier to operate than manual methods.
Data Source
AI summary
In one embodiment, a method for segmenting video data in a mobile communication terminal includes acquiring sensor data periodically together with video data during video shooting, and segmenting the video data based on the acquired sensor data.