Video Highlight Frame Capture for High-Quality Instant Photos
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Solution Overview
Problem
Existing terminal devices, such as mobile phones, struggle with capturing ideal photos of specific moments due to reflection and action delays, especially in high-time requirement scenarios, leading to tedious operations and lower picture quality when capturing frames from videos.
Innovation Solution
Implement a shooting method that allows terminal devices to perform image recognition and analysis during video recording, identifying highlight frames and generating high-resolution photos automatically, thereby reducing user operations and improving picture quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If a user captures a photo at a specific moment, then the photo can be obtained quickly, but the photo quality is degraded due to reflection delay and action delay
Solution Approach 1:
The system performs preliminary actions by continuously capturing video frames at high resolution before the user needs a photo, and pre-processes these frames through image recognition algorithms to identify highlight moments. When a photo is requested, the system can immediately output a high-quality photo of the identified highlight moment without requiring additional capture time, thus resolving the contradiction between fast capture and high quality.
Solution Approach 2:
Instead of capturing a new photo that suffers from delay, the system creates a copy of a previously captured high-resolution video frame that has been identified as a highlight moment. This copy is then output as the photo, eliminating the reflection and action delays while maintaining high image quality since the source material was captured at full resolution.
2Manufacturing precision
If a user captures a frame from a video to obtain a photo, then high-resolution photos can be obtained, but tedious operations are required
Solution Approach 1:
The system performs self-service by automatically executing the entire photo capture workflow without user intervention. The image recognition algorithm autonomously analyzes video frames to identify highlight moments, selects the appropriate frames, and outputs high-resolution photos. This eliminates the need for users to manually scrub through video, select frames, and save them as photos, thus resolving the contradiction between high resolution and ease of operation.
Solution Approach 2:
The system replaces the mechanical manual operation of frame-by-frame video review and photo saving with an automated image recognition and analysis system. The algorithm automatically detects highlight moments based on motion changes, scene transitions, or other visual features, and extracts photos without requiring physical user interaction with the video playback controls, thereby achieving both high resolution and ease of operation.
3Extent of automation
If the terminal device performs image recognition and analysis on every video frame, then highlight photos can be automatically captured, but processing time and computational resources increase
Solution Approach 1:
The system applies partial action by performing image recognition and analysis selectively rather than on every single video frame. The algorithm identifies key moments based on detecting significant changes such as motion thresholds, scene transitions, or focus adjustments, and only performs full analysis on frames that meet these criteria. This approach achieves automatic highlight capture while significantly reducing processing time and computational resource requirements compared to analyzing every frame.
Data Source
AI summary
This application provides a shooting method. The method may be applied to a terminal device that has a shooting capability, for example, a mobile phone or a network television. By implementing the method, the terminal device can perform image recognition and analysis on a video frame in a video shooting process, to determine a highlight video frame and generate a highlight photo. In this way, a user can simultaneously obtain a video and a highlight photo in the video in a video shooting process, thereby avoiding a problem that a highlight photo is difficult to be shot through manual capture or a problem that picture quality of a highlight photo captured from a shot video is low, reducing user operations, and improving user experience.