Burst Shooting Image Selection via Scene Recognition
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Solution Overview
Problem
During burst shooting, smartphones capture multiple images with varying qualities, requiring users to manually sift through them, leading to poor user experience due to the need for manual screening based on parameters like image definition and contrast.
Innovation Solution
An electronic device method that detects burst shooting operations, performs scene recognition on images meeting quality screening conditions, and automatically selects and stores the best images based on shooting scenes, improving image quality and user satisfaction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If the smartphone stores all images obtained through burst shooting, then the user can access more images for selection, but the user experience deteriorates due to the need for manual screening
Solution Approach 1:
The system performs automatic image screening and selection based on scene recognition and image quality parameters, eliminating the need for manual user intervention. The electronic device autonomously identifies high-quality images from burst shooting sequences and presents them to users, transforming a manual task into an automated service.
Solution Approach 2:
The system introduces an intermediate automated screening mechanism between burst shooting and user selection. This intermediary process evaluates images based on scene consistency, image quality parameters (exposure, focus, saturation), and shooting duration, thereby mediating between the large quantity of captured images and the user's need for quick selection.
2Device complexity
If the smartphone performs screening based only on image quality parameters such as definition and contrast, then the screening process is simple, but the image quality improvement is insufficient
Solution Approach 1:
The system transitions from evaluating images based solely on static quality parameters (definition, contrast) to a dynamic multi-dimensional evaluation framework. This framework incorporates scene recognition results, temporal information (shooting duration), and multiple image quality parameters (exposure, focus, saturation), thereby changing the parameter space to achieve better image selection.
Solution Approach 2:
The system performs preliminary scene recognition and image quality evaluation during or immediately after burst shooting, before presenting images to the user. By pre-screening images based on scene consistency and quality parameters, the system prepares a curated subset of high-quality images, reducing the user's selection burden while ensuring image quality.
3Manufacturing precision
If the electronic device performs scene recognition and automatic image selection, then image quality improves, but the processing time and computational resources increase
Solution Approach 1:
The system performs scene recognition and detailed quality evaluation on a subset of images rather than all images from burst shooting. By applying automated screening to only the most relevant images (e.g., those captured during the middle portion of the burst sequence or those meeting preliminary quality thresholds), the system achieves good image quality selection while reducing computational overhead and processing time.
Data Source
AI summary
A method for selecting an image based on burst shooting is provided, which relates to the field of terminal technologies. The method includes: an electronic device displays a preview interface; detects a first operation used to start burst shooting; obtains N images; then performs scene recognition based on K images that meet an image quality screening condition, to determine a shooting scene; and finally determines M images based on the shooting scene, where N is greater than or equal to K, N is greater than or equal to M, N and K are positive integers greater than 1, and M is a positive integer greater than or equal to 1. This technical solution helps improve quality of an image obtained by the electronic device through screening, thereby improving user satisfaction with an image that is automatically obtained through screening during burst shooting by the electronic device.