Video Clip Management Using Sensor Object Imprints
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Solution Overview
Problem
Amateur video recorders face challenges in editing videos due to the time-consuming and costly process of professional editing, leading to unprocessed videos accumulating and rarely being enjoyed, as existing automated video editing systems may generate uninteresting clips if the user is not recording the object of interest during sensor events.
Innovation Solution
The system employs sensor data to identify and generate video clips based on sensor events, using a video clip creation module, video analysis module, and video and sensor correlation module to ensure that only clips with the object of interest are saved, leveraging wearable and non-wearable sensors to synchronize and analyze data for efficient automated video editing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automated video editing is performed without verifying object presence, then video clips can be generated quickly, but the clips may be uninteresting or irrelevant to the user
Solution Approach 1:
The system uses sensor data as feedback to verify that the object of interest is present in the video clip before finalizing its generation. The sensor events trigger clip creation only when correlated with actual object presence, ensuring relevance while maintaining automated efficiency
Solution Approach 2:
Sensor data acts as an intermediary between the video recording and the automated editing process. The sensors detect object presence and provide this information to the video clip creation module, which uses it to determine whether to generate and save clips, thus ensuring relevance without manual intervention
2Reliability
If professional editing is performed to produce enjoyable video content, then the quality of video content improves, but the cost and time required increase significantly
Solution Approach 1:
The system performs automated video clip creation and selection without requiring professional editing services. The video clip creation module automatically generates clips based on sensor events, and the video analysis module automatically determines their relevance, enabling users to create quality content independently and efficiently
Solution Approach 2:
The patent replaces the mechanical process of manual professional editing with an automated electronic system. Sensors, video clip creation modules, and video analysis modules work together to automatically identify, generate, and select relevant video clips, substituting human editing labor with automated technology
3Reliability
If all video clips generated from sensor events are saved, then no interesting content is lost, but storage space is wasted on irrelevant clips
Solution Approach 1:
The video analysis module uses sensor data as feedback to determine whether each generated video clip contains the object of interest. Only clips that receive positive feedback confirming object presence are saved to storage, ensuring completeness of relevant content while avoiding storage of irrelevant material
Solution Approach 2:
The system discards video clips that do not contain the object of interest, as determined by the video analysis module comparing sensor data with video content. This selective discarding prevents waste of storage space on irrelevant clips while preserving all potentially interesting content
Data Source
AI summary
Examples include a determination how to manage storage of a video clip generated from recorded video based upon a sensor event. Managing storage of the video clip may include determining whether to save or delete the video clip based on an imprint associated with an object that indicates whether the object is included in the video clip.