Animated Video Thumbnail Generation via Feature Scoring
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Solution Overview
Problem
Users face difficulties in selecting interesting parts of recorded videos for sharing due to the time-consuming and complex process of video editing, especially for amateur videographers who struggle to determine which parts are most engaging.
Innovation Solution
A method and system for generating summarized videos with animated video thumbnails, which involves receiving video frames, extracting features, generating candidate clips, calculating clip and transition scores, and automatically selecting clips to create a summarized video with motion-conveying thumbnails.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual video editing is used to select interesting parts, then the user can customize the shared content, but the process becomes extremely time consuming and difficult to master
Solution Approach 1:
The system performs automatic video summarization without requiring user intervention in the editing process. The computer automatically analyzes video frames, extracts features, generates candidate clips, scores them, and assembles the final summarized video, allowing the video content to edit itself rather than requiring manual user effort.
Solution Approach 2:
The patent replaces the mechanical manual editing process with an automated computational system. Instead of users manually reviewing and selecting video segments, the system uses computer vision algorithms, feature extraction, and automated scoring mechanisms to perform the entire editing task, substituting human manual labor with an automated technical system.
2Loss of information
If the entire video is shared, then all content is preserved, but the shared content becomes too long and loses viewer engagement
Solution Approach 1:
The system extracts only the most interesting and relevant segments from the full video content. By analyzing video frames and scoring candidate clips based on engagement metrics, the system identifies and extracts key moments while discarding redundant or less interesting portions, delivering a condensed version that preserves essential content without the full video's length.
Solution Approach 2:
The patent divides the video into multiple candidate clips and selectively assembles them into a summarized version. Instead of presenting the video as a continuous whole, the system segments the content into discrete interesting moments that are then reassembled in chronological or thematic order, creating an engaging overview that maintains information completeness while improving viewer retention.
3Productivity
If automated clip selection is used, then the process becomes fast and efficient, but the quality of clip selection may suffer without manual review
Solution Approach 1:
The system employs a scoring mechanism that evaluates candidate clips based on multiple features and metrics. This feedback loop allows the automated system to assess and refine its clip selections objectively, ensuring that only high-quality, engaging segments are chosen for the final summarized video, thereby maintaining selection quality without requiring manual review.
Data Source
AI summary
Methods, systems, and media for summarizing a video with video thumbnails are provided. In some embodiments, the method comprises: receiving a plurality of video frames corresponding to the video and associated information associated with each of the plurality of video frames; extracting, for each of the plurality of video frames, a plurality of features; generating candidate clips that each includes at least a portion of the received video frames based on the extracted plurality of features and the associated information; calculating, for each candidate clip, a clip score based on the extracted plurality of features from the video frames associated with the candidate clip; calculating, between adjacent candidate clips, a transition score based at least in part on a comparison of video frame features between frames from the adjacent candidate clips; selecting a subset of the candidate clips based at least in part on the clip score and the transition score associated with each of the candidate clips; and automatically generating an animated video thumbnail corresponding to the video that includes a plurality of video frames selected from each of the subset of candidate clips.