Video Microsummarization via Priority Metric Graphs
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Solution Overview
Problem
Existing video editing technologies fail to effectively generate short video summarizations for length-restricted social networks, as they do not consider the duration limitations when summarizing video content, leading to incomplete sharing of videos.
Innovation Solution
A system that determines interesting snippets from video clips, generates priority metric graphs, and selects portions based on peak priority metrics to create microsummarizations within the duration limits of social networks, allowing for automatic editing and sharing of videos.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If existing video editing technologies are used to generate video summarizations, then video content can be condensed, but the summarizations exceed the duration limits of social networks
Solution Approach 1:
The patent segments the original video into multiple short clips based on detected key moments and events. Each clip represents a discrete, meaningful portion of the original video, allowing the summarization to fit within social network duration limits while preserving important content. The system divides the video timeline into selectable segments rather than presenting a continuous summary.
Solution Approach 2:
The patent extracts only the most important and engaging portions of the original video based on priority metrics. By identifying and removing less significant segments, the system creates a condensed summary that maintains the essence of the original content while adhering to strict duration constraints imposed by social networks.
2Loss of information
If video summarization is generated without considering social network duration limits, then more complete video content can be included, but the video cannot be shared on length-restricted platforms
Solution Approach 1:
The patent implements dynamic adjustment of video summary duration based on the specific social network platform's requirements. The system can adapt the length and composition of the summarized video to match different platform constraints (e.g., Instagram Stories vs. TikTok vs. Snapchat), ensuring maximum platform compatibility while preserving as much meaningful content as possible within each platform's limits.
Solution Approach 2:
The patent changes key parameters of the video summarization process, including duration, clip selection criteria, and priority metric thresholds, to optimize for different social network platforms. By adjusting these parameters dynamically, the system generates platform-specific summaries that maintain content quality while ensuring successful sharing across various length-restricted platforms.
3Duration of action of moving object
If manual video editing is performed to create short summaries, then duration limits can be met, but user time and effort are significantly increased
Solution Approach 1:
The patent implements an automated system that performs video summarization without requiring manual user intervention. The system autonomously analyzes the original video, identifies key moments using priority metrics, selects appropriate clips, and assembles the final summary. This self-service approach eliminates the time-consuming manual editing process while producing optimized short summaries suitable for social networks.
Solution Approach 2:
The patent performs preliminary analysis of the video content before final assembly, identifying and prioritizing key moments in advance. By pre-processing the video to detect important events, objects, and scenes, the system prepares the necessary components for quick assembly into a social-network-ready summary, significantly reducing the time required compared to traditional manual editing workflows.
4Loss of information
If traditional video summarization methods are used, then comprehensive video coverage is achieved, but engagement and interest levels decrease due to lack of highlighted key moments
Solution Approach 1:
The patent applies local quality enhancement by selectively emphasizing specific portions of the video that contain key moments, interesting objects, or important events. Rather than treating all video segments equally, the system identifies and enhances locally important segments with higher priority metrics, making the summary more engaging and interesting to viewers while still maintaining comprehensive coverage of essential content.
Data Source
AI summary
A system and method for generating a short video summary from video data. For example, the system may receive input video data including video clips and may select snippets from each video clip to include in the short video summary. To select a snippet, the system may calculate a priority metric for individual frames in a video clip, may generate a priority metric graph for the video clip and may select a portion of the video clip associated with a peak of the priority metric graph. Thus, the snippets may include a short duration of time (e.g., 1-4 seconds) corresponding to the peak of the priority metric graph. The system may reorder the snippets based on characteristics of content represented in the snippet.