Dynamic Thumbnail Selection for Video Content
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Solution Overview
Problem
Thumbnails for video multimedia data often fail to accurately represent the content of videos, making it difficult for users to select meaningful or interesting representations without manually reviewing the video.
Innovation Solution
Implementing a method where thumbnails can be randomly or pseudo-randomly selected from video frames, allowing users to cycle through different frames until a desired representation is found, with options for constrained or pattern-based selection to ensure visual distinction from previous frames.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a single thumbnail is automatically selected from video frames, then the device complexity is reduced, but the thumbnail may not accurately represent the video content
Solution Approach 1:
The patent implements a dynamic thumbnail selection system where users can cycle through multiple candidate thumbnails generated from different video frames. The system transitions from a static single-thumbnail approach to a dynamic multi-thumbnail browsing interface, allowing users to interactively select the most representative thumbnail while maintaining automated generation benefits.
Solution Approach 2:
Instead of selecting a single thumbnail, the patent generates and displays multiple candidate thumbnails from different video frames. This excessive action of creating more thumbnails than strictly necessary gives users choices, allowing them to select the best representation without requiring complex automated analysis algorithms.
2Measurement precision
If users manually review video to find representative frames, then thumbnail representation accuracy is improved, but the time required increases
Solution Approach 1:
The system performs preliminary action by automatically generating multiple candidate thumbnails from different video frames before user selection. This pre-processing step creates a curated set of potential thumbnails, saving users the time of reviewing the entire video while still providing accurate representation options.
Solution Approach 2:
The patent creates multiple copies of potential thumbnail images from different video frames. Instead of requiring users to view the actual video content, the system presents copied frame images as thumbnail candidates, allowing rapid visual comparison and selection without time-consuming video playback.
3Ease of operation
If thumbnails are selected in a randomized manner, then ease of operation is improved, but the thumbnail may not be visually distinct from previous selections
Solution Approach 1:
The system incorporates feedback mechanisms where user selections and preferences are tracked. When users cycle through thumbnails or indicate preferences, the system learns from this feedback to adjust future thumbnail generation and selection, ensuring visually distinct and diverse results while maintaining ease of operation.
Solution Approach 2:
The patent changes parameters such as frame selection intervals, timestamp ranges, and visual distinctness criteria based on user interactions. By dynamically adjusting these parameters, the system ensures that selected thumbnails are visually distinct while maintaining the simplicity of automated selection processes.
Data Source
AI summary
According to one aspect, a method of previewing multimedia data, including selecting a first graphical representation in association with a multimedia object, displaying the first graphical representation, receiving an input in relation to the first graphical representation, in response to the input, determining whether to change the first graphical representation, and if so then selecting a second graphical representation from the multimedia object in a randomized manner, and displaying the second graphical representation.