Image Frame Selection Animation for Burst Capture
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Solution Overview
Problem
Users of image capture devices often face difficulties in selecting a suitable frame from a burst of captured images, as they may be unclear about the temporal relationship and differences between the capture frame and computer-selected frames.
Innovation Solution
A method is provided that includes receiving a plurality of frames from an image capture device, determining a computer-selected frame using machine learning or predetermined criteria, and offering an animation between the capture frame and the computer-selected frame through a user interface, which includes an interpolation of frames captured between the two.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If a burst of multiple frames is captured in rapid succession, then the quantity of captured images increases, but the user's ability to understand temporal relationships and select suitable frames deteriorates
Solution Approach 1:
The patent introduces an animation as an intermediary element between the capture frame and computer-selected frame. This animation visually bridges the temporal gap by showing interpolated frames, helping users understand the temporal relationship and content changes without having to mentally compare multiple static images. The animation acts as a mediator that makes the temporal sequence comprehensible.
Solution Approach 2:
The system provides visual feedback through the animation that shows users what changes occur between frames. By displaying the interpolated sequence, the system gives users feedback about temporal relationships and content evolution, enabling them to make informed selection decisions about which frames to use for editing or sharing.
2Manufacturing precision
If computer-selected frames are provided based on machine learning or predetermined criteria, then the quality of selected frames improves, but the complexity of the system increases
Solution Approach 1:
The system performs preliminary actions by automatically selecting frames using machine learning or predetermined criteria before the user needs to make a selection. This preliminary frame selection reduces the user's decision burden and ensures high-quality frames are identified in advance, while the animation subsequently explains the selection rationale to users.
3Loss of information
If an animation with interpolation of frames is provided, then the user's understanding of temporal relationships improves, but the processing time and computational resources increase
Solution Approach 1:
The system applies partial action by providing animation interpolation only for selected frame transitions rather than for all possible frame combinations. The animation interpolates between specific capture frames and computer-selected frames based on user selection, rather than pre-computing all possible transitions, thus reducing unnecessary processing while still providing comprehensive temporal understanding where needed.
Data Source
AI summary
Method and device for image frame selection are provided. A computing device can receive, from an image capture device, a plurality of frames including a capture frame. The computing device can determine a computer-selected frame of the plurality of frames. The computing device can receive, by way of a user interface, a selection of an option to view the capture frame. The computing device can, responsive to receiving the selection, provide, by way of the user interface, an animation between the capture frame and the computer-selected frame. The animation includes an interpolation of one or more frames captured between the capture frame and the computer-selected frame.