Adaptive Frame Rate Video Capture for Storage Efficiency
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Solution Overview
Problem
Conventional video capture devices require manual mode selection for high-speed or slow-motion recording, leading to inefficient resource usage and missed details of quick events, as they often capture excessive low-speed content and struggle to create slow-motion videos post-processing.
Innovation Solution
A dual-camera approach captures low-resolution video at a higher frame rate and high-resolution video at a lower frame rate, allowing for adaptive speed adjustment based on object motion, enabling slow-motion video generation through interpolation of frames.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If high-speed or slow-motion mode is used to capture video at high frame rate (e.g., 240 FPS), then high-speed moments can be captured effectively, but video size increases significantly and consumes more memory and processing resources
Solution Approach 1:
The system dynamically changes the frame rate parameter based on detected motion levels. During normal scenes, it captures at standard frame rates (e.g., 30 FPS), and automatically switches to high frame rates (e.g., 240 FPS) only when motion exceeds a threshold, thus capturing high-speed moments effectively while minimizing overall video size
Solution Approach 2:
The video capture system transitions from a static fixed frame rate mode to a dynamic adaptive frame rate mode. The frame rate is adjusted in real-time based on motion detection results, allowing the system to optimize between capture quality and storage efficiency according to scene requirements
2Reliability
If high-speed or slow-motion mode is pre-set, then high-speed moments can be captured, but most frames contain low-speed content resulting in waste of storage resources
Solution Approach 1:
The system implements a feedback mechanism where motion detection analysis of captured frames feeds back to control the frame rate adjustment. When motion in consecutive frames exceeds a threshold, the system increases frame rate; when motion is low, it reduces frame rate back to normal, creating a closed-loop adaptive capture system
Solution Approach 2:
The video capture process is segmented into different frame rate zones based on motion characteristics. Normal scenes are captured at standard frame rates while high-motion segments are captured at elevated frame rates, effectively dividing the video into efficiency-optimized segments
3Ease of operation
If user manually pre-sets shooting mode, then capture mode can be controlled, but unexpected quick moments may be missed due to manual selection errors
Solution Approach 1:
The system performs self-service by automatically detecting motion and adjusting frame rate without requiring user intervention. The motion detection algorithm monitors the video stream and autonomously decides when to switch between frame rates, eliminating the need for manual mode selection while ensuring high-speed moments are captured
4Quantity of substance
If standard frame rate (e.g., 30 FPS) is used, then storage resources are saved, but slow-motion video generation for specific segments is difficult or impossible through post-processing
Solution Approach 1:
The system performs preliminary action by capturing high frame rate footage during high-motion segments before post-processing is needed. This advance capture of additional temporal data enables flexible post-processing options including slow-motion generation, while maintaining storage efficiency during low-motion periods
Data Source
AI summary
Methods and devices for generating a slow motion video segment are described. A first set of video frames captures a video view at a first resolution and at a first frame rate. A second set of video frames captures the video view at a second lower resolution, and at a second frame rate that is greater for at least a portion of the second set. At least two high resolution frames are identified in the first set for generating the slow motion video segment. One or more low resolution frames are identified in the second set corresponding to an inter-frame time period between the identified high resolution frames. The slow motion video segment is generated by generating at least one high resolution frame corresponding to the inter-frame time period using interpolation based on the identified high resolution frames and the identified low resolution frames.