Automatic Media Content Analysis for Fleeting Event Capture
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Solution Overview
Problem
Users face challenges in selecting the appropriate mode (Picture or Video) for capturing media content on personal electronic devices, leading to missed events and incorrect content creation due to the need for pre-selection and unfamiliarity with the user interface, resulting in latency and suboptimal capture of moments.
Innovation Solution
Implementing an automatic content-analysis method that allows users to start capturing media without pre-selecting the mode, enabling quick capture and subsequent decision on format, with the device automatically extracting and suggesting media content based on analysis results, such as video segments, still images, or audio clips, reducing user input and latency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If the user pre-selects the capture mode (Picture or Video) before capturing media content, then the content creation process can be optimized for the selected mode, but the user may miss fleeting events due to the time required for mode selection and interface operation
Solution Approach 1:
The system performs preliminary actions by automatically analyzing the captured video content and pre-selecting optimal frames or segments before the user needs to make a decision. This allows the user to simply review and confirm the suggested content without needing to manually select modes or adjust settings, thus eliminating the time delay while maintaining content quality
Solution Approach 2:
The system serves itself by automatically performing content analysis, frame selection, and format determination without requiring user intervention for mode selection. The automated content analysis processor examines the video stream and identifies key moments, allowing the system to function autonomously and eliminate the latency associated with manual user decisions
2Ease of operation
If the user must operate the user interface to select capture mode, then the device provides control over content creation, but the complexity of interface operation may cause user error and missed events
Solution Approach 1:
The system performs self-service by automatically determining the appropriate capture mode and selecting optimal content without requiring user interaction with the interface. The automated content analysis processor evaluates the video stream and makes intelligent decisions about which frames or segments to extract, eliminating user error while maintaining capture accuracy
Solution Approach 2:
The system provides feedback to the user by presenting the automatically selected content for review and confirmation. This allows the user to verify the system's selections and make minor adjustments if needed, combining automated reliability with user control in a simple feedback loop that eliminates complex interface operations
Data Source
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AI summary
A method and apparatus for creating media content. The method comprises recording a video; while the video is being recorded, automatically analysing the content of the video; and creating media content by editing the video, assisted by the results of the content-analysis. A user may not need to select in advance (that is, before the video is recorded) the type or format of media content to be created.