Highlight Photo Capture Using Pre-Buffered Frame Selection
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Solution Overview
Problem
Users face challenges in capturing highlight photos due to reaction time delays and device shaking, leading to unsatisfactory image quality and user experience.
Innovation Solution
The electronic device employs a 'highlight capture' function that recognizes the user's capturing intention and selects a manually-captured highlight frame within a specific time range before and after the intended capture, storing it as a high-quality image.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the user manually captures an image at the intended moment, then the capture timing matches user intention, but reaction time delay causes the actual captured frame to differ from the expected highlight frame
Solution Approach 1:
The system performs preliminary action by pre-buffering multiple candidate image frames before the user's capture action. When the user presses the shutter button, the system has already prepared a sequence of candidate frames (including frames before, during, and after the press moment) in a buffer, allowing immediate selection of the optimal highlight frame without waiting for post-capture processing.
Solution Approach 2:
The system implements feedback by displaying a thumbnail of the selected highlight frame immediately after capture to confirm the actual captured content to the user. This feedback mechanism allows the user to verify whether the highlight frame matches their intention, and if not, to re-capture by pressing the shutter button again, creating a closed-loop correction process.
2Manufacturing precision
If the device processes and selects the optimal frame after capture, then image quality can be optimized, but the time delay between intended capture and actual capture increases
Solution Approach 1:
The system performs preliminary action by pre-evaluating and buffering multiple candidate frames with their quality metrics before the user's capture action. The decision-making module continuously assesses candidate frames using image quality evaluation algorithms and maintains a buffer of pre-evaluated candidates, so that when capture is triggered, the optimal frame can be immediately identified without real-time processing delays.
3Measurement precision
If the system buffers multiple candidate frames, then the optimal highlight frame can be selected, but memory usage and processing complexity increase
Solution Approach 1:
The system applies local quality by maintaining different buffer sizes and evaluation strictness for different time ranges. For example, frames within a critical time window around the capture moment may be buffered with higher resolution and stricter quality criteria, while frames further away use lower buffering requirements. This localized differentiation optimizes memory usage while maintaining selection accuracy for the most important frames.
Data Source
AI summary
Embodiments of this application provide a photographing method and an electronic device. The electronic device may recognize a capturing intention of a user, and may decide, based on a time of manual capture, a highlight frame from image frames obtained within a short time before manual capture and image frames obtained within a short time after manual capture, for example, decide a highlight frame from image frames obtained within 1 second before manual capture and image frames obtained within 0.5 seconds after manual capture, to provide a highlight photo that meets an expectation of the user. This avoids a problem that it is difficult to capture the highlight photo that meets the expectation due to a reaction time delay of a person.