Automated Video Summary Generation via File Attribute Analysis
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Solution Overview
Problem
Current methods for generating video summaries require manual selection of key frames or scenes, which is inefficient and lacks automation, especially in handling large volumes of video data.
Innovation Solution
A method and apparatus that automatically determine effects based on file attributes, such as related image information, to generate summary videos, including selecting key segments and applying effects like hybrid, daily story, or polaroid effects, depending on the number and timing of related images within the video.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If manual selection of key frames or scenes is used to generate video summaries, then the user can control the selection process, but the efficiency is low and it lacks automation when handling large volumes of video data
Solution Approach 1:
The system automatically analyzes video content and generates summaries without requiring manual user intervention. The processor extracts key frames based on visual features, motion analysis, and scene changes, enabling the system to serve itself in creating video summaries efficiently
Solution Approach 2:
The system changes parameters such as motion magnitude, color distribution, and scene transition thresholds to automatically identify and select key frames. By adjusting these parameters, the system adapts to different video types and generates summaries with varying levels of detail and focus
2Loss of information
If key frames are selected based on visual features like colors and movements, then the summary captures important video content, but the complexity of analyzing and selecting appropriate frames increases
Solution Approach 1:
The video is divided into multiple segments or scenes, and key frames are selected from each segment. This segmentation approach reduces the overall complexity by breaking down the large task of analyzing entire video into smaller, manageable segments that can be processed independently
Solution Approach 2:
Instead of analyzing every frame in the video, the system performs partial action by selecting and analyzing only representative key frames. This reduces computational complexity while still preserving the essential visual information and important content through strategic frame selection based on motion and visual feature analysis
3Ease of operation
If a video summary is generated to provide an overview at a glance, then user convenience is improved, but the time required to process and generate the summary increases
Solution Approach 1:
The system performs preliminary action by pre-processing and analyzing video content to identify potential key frames and important segments before final summary generation. This preliminary analysis stores extracted features and motion data that can be quickly assembled into summaries, reducing the time required when actual summary generation is needed
Solution Approach 2:
The system extracts only the most essential visual features, motion patterns, and key frames from the video content, separating these critical elements from the rest of the data. By taking out only the necessary information for summary generation, the system reduces processing time while maintaining the quality and usefulness of the video summary
Data Source
AI summary
A method and apparatus are provided for displaying a summary video. According to the method, various effects may be automatically determined according to an attribute of a file, and a video may be automatically summarized to have various effects and be displayed.