Dynamic Time-Lapse Video Frame Rates for Smooth Motion
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Solution Overview
Problem
Existing time-lapse videos often result in hectic and unpleasant views due to fixed sped-up rates that fail to account for the dynamic changes in the environment and motion of the image capture device.
Innovation Solution
An image capture device determines a dynamic time-lapse video frame rate based on position and visual information, adjusting the frame rate to ensure smooth and stable video playback by incorporating position-based and visual-based factors to stabilize the video frames.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a fixed sped-up rate is used in generating time-lapse video, then the video generation process is simple and fast, but the viewing experience becomes hectic and unpleasant
Solution Approach 1:
The patent applies dynamics by transitioning from a fixed time-lapse frame rate to a dynamic one. The system continuously adjusts the time-lapse video frame rate based on real-time position information from sensors and visual information from image analysis. This allows the frame rate to adapt to changing motion conditions, reducing hectic views during rapid movement and maintaining smooth playback during stable periods, thereby resolving the contradiction between simple generation and pleasant viewing experience
Solution Approach 2:
The patent implements parameter changes by modifying the time-lapse video frame rate parameter based on calculated factors. The system determines a position-based frame rate factor from sensor data and a visual-based factor from image content analysis, then combines these to dynamically adjust the output frame rate. This parameter adaptation enables the system to maintain video quality across varying conditions while still providing efficient time-lapse compression
2Object-affected harmful factors
If a dynamic time-lapse video frame rate is determined based on position and visual information, then the video playback becomes smooth and stable, but the processing complexity and computational requirements increase
Solution Approach 1:
The patent applies segmentation by dividing the complex task of dynamic frame rate determination into distinct modular components. The system separates position-based factor determination (using sensor data) from visual-based factor determination (using image analysis), then combines these independently calculated factors. This modular approach reduces processing complexity by allowing each component to operate independently with optimized algorithms, while still achieving smooth and stable video playback through their combined effect
3Stability of the object's composition
If the frame rate is adjusted based on periodic motion detection, then the video stabilizes during repetitive movements, but the algorithm complexity increases
Solution Approach 1:
The patent applies periodic action by specifically detecting and responding to periodic motion patterns in the position data. The system identifies repetitive movements (such as camera panning or scene transitions) and adjusts the time-lapse frame rate accordingly to maintain stable video composition during these periodic events. This targeted approach stabilizes video during predictable motion while avoiding unnecessary processing during static or irregular movement, thereby managing algorithm complexity efficiently
Data Source
AI summary
Positions of an image capture device may be used to determine a position-based time-lapse video frame factor. Apparent motion between pairs of images may be used to determine a visual-based time-lapse video frame rate factor. A time-lapse video frame rate for a time-lapse video may be determined based on the position-based time-lapse video frame factor and the visual-based time-lapse video frame rate factor.