Thumbnail Differentiation via Scene Matching and Similarity Thresholds
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Solution Overview
Problem
Existing video thumbnail systems struggle to differentiate between videos with similar content, such as those captured at the same location but from different vantage points, leading to thumbnails that are difficult for users to distinguish.
Innovation Solution
A method and system that determine whether scenes in two videos match, and if they do, compare their thumbnails to assess similarity, replacing one or both thumbnails with new ones until the similarity falls below a predetermined threshold, ensuring differentiated content.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If thumbnails are selected from videos with similar content, then the representation of video content is accurate, but the thumbnails become difficult for users to distinguish
Solution Approach 1:
The patent applies local quality by selecting specific frames from videos that highlight unique local characteristics. Instead of using arbitrary or uniform thumbnail selection, the system identifies and selects frames that capture distinctive local features of each video, such as specific actions, objects, or scenes that differentiate similar videos, thereby maintaining content accuracy while improving distinguishability
Solution Approach 2:
The patent employs color changes and visual modifications to enhance thumbnail differentiation. By adjusting color parameters, applying filters, or modifying visual properties of selected frames, the system creates visually distinct thumbnails even when the underlying video content is similar, thus resolving the contradiction between accurate representation and user distinguishability
2Adaptability or versatility
If multiple videos with similar content are displayed, then comprehensive search results are provided, but user interface clarity decreases
Solution Approach 1:
The system applies local quality by ensuring each thumbnail in the search results highlights distinctive local features of its corresponding video. This allows comprehensive display of multiple similar videos while maintaining interface clarity through visually differentiated thumbnails that help users quickly distinguish between options
Solution Approach 2:
The patent employs asymmetry by creating intentionally asymmetric or varied visual characteristics in thumbnails from similar videos. Through selective frame choice and visual modifications, the system ensures thumbnails have asymmetric visual properties that make them easily distinguishable, thereby maintaining interface clarity while displaying comprehensive search results
Data Source
AI summary
A method and system of providing content differentiation between thumbnails. One method includes receiving a first video and selecting a first thumbnail from the first video. The method includes receiving a second video and selecting a second thumbnail from the second video. The method includes determining whether a first scene of the first video matches a second scene of the second video. The method includes comparing the first thumbnail and the second thumbnail to determine a thumbnail similarity when the first scene of the first video matches the second scene of the second video. The method includes selecting a new thumbnail to replace either the first thumbnail or the second thumbnail when the thumbnail similarity meets or exceeds a predetermined threshold. The method includes displaying the new thumbnail and the other of the first thumbnail and the second thumbnail.