Time-Lapse Camera Parameter Adaptation for Scene-Based Image Quality
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Solution Overview
Problem
Conventional electronic devices, such as mobile phones and tablets, exhibit poor time-lapse shooting effects and user experiences due to their inability to adapt to various shooting scenarios, relying on a unified mode that fails to optimize parameters for different conditions.
Innovation Solution
The method involves automatically identifying shooting scenarios like high dynamic, low-light, or common scenarios, determining target shooting parameters (e.g., ISO and exposure time), and obtaining multiple photos with enhanced effects before generating a time-lapse video, using adaptive algorithms to match the scenario.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a unified shooting mode is used for all scenarios, then the device complexity is reduced, but the image quality and shooting effect deteriorate
Solution Approach 1:
The patent implements dynamic shooting parameter adjustment by automatically identifying shooting scenarios (high dynamic range, low light, common scenarios) and adapting exposure time, photosensitivity, and other parameters in real-time based on the detected scenario, rather than using a static unified mode
Solution Approach 2:
The system changes shooting parameters (exposure time, ISO photosensitivity, frame rate) according to different shooting scenarios. For example, in low-light scenarios, the exposure time is extended and photosensitivity is increased, while in high dynamic range scenarios, multiple exposure levels are captured and merged
2Manufacturing precision
If manual parameter setting is required for different scenarios, then the image quality improves, but the ease of operation deteriorates
Solution Approach 1:
The system performs automatic scenario identification and parameter optimization without requiring user intervention. The electronic device autonomously detects the shooting scenario and adjusts parameters such as exposure time and photosensitivity, eliminating the need for manual parameter setting while maintaining optimal image quality
Solution Approach 2:
The system uses feedback from image analysis (histogram analysis, brightness detection, contrast detection) to automatically adjust shooting parameters. The device continuously monitors the preview image quality and adapts parameters based on the detected lighting conditions and scene characteristics
3Loss of time
If frame extraction processing is used to compress long-time content, then the video playback time is reduced, but the video quality and user experience deteriorate
Solution Approach 1:
The system performs preliminary optimization of shooting parameters before capturing the time-lapse sequence. By pre-identifying the shooting scenario and setting optimal parameters (exposure time, photosensitivity, frame rate), the system ensures high-quality source images are captured, which maintains video quality during compression
Solution Approach 2:
The system dynamically adjusts the frame rate and capture interval based on the shooting scenario. In high dynamic scenarios, a higher frame rate is used to capture more detail, while in stable scenarios, a lower frame rate suffices, optimizing the balance between video length and quality
Data Source
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AI summary
Embodiments of this application provide a time-lapse shooting method and a device, and relate to the field of shooting technologies. Therefore, a shooting scenario may be automatically identified, a plurality of photos with a relatively good effect are obtained through shooting based on a target shooting parameter that matches the shooting scenario, and video coding is performed on the plurality of photos to generate a time-lapse video with a relatively good effect. A specific solution is: After detecting a first operation, an electronic device starts a camera; after detecting a second operation, enters a time-lapse mode, and displays a preview interface, where the preview interface includes a first preview image; identifies a shooting scenario based on the first preview image; determines a target shooting parameter based on the shooting scenario; after detecting a third operation that a user indicates to start shooting, obtains a plurality of target photos through shooting based on the target shooting parameter; displays a shooting interface; and after detecting a fourth operation that the user indicates to stop shooting, generates a time-lapse video based on the plurality of target photos. The embodiments of this application are used for time-lapse shooting.