Video Jitter Removal via Motion Model Smoothing
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Solution Overview
Problem
Current methods for addressing camera jitter in video recordings are either too expensive for general use or ineffective for correcting unwanted camera motion, especially when applied to already recorded footage.
Innovation Solution
A video editing application that allows users to select and remove unwanted camera motion by generating and smoothing curves representing camera movements, using a motion model to identify parameters and apply transforms to each frame, distinguishing between intended camera motion and jitter.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Stability of the object's composition
If mechanical camera mounting solutions are used to reduce jitter, then camera stability is improved, but cost increases and adaptability decreases
Solution Approach 1:
The system performs preliminary analysis of camera motion patterns during video playback, generating motion models and identifying jitter components before applying corrections. This allows the software to prepare compensation strategies in advance without requiring physical preparation during shooting.
Solution Approach 2:
The patent replaces mechanical stabilization systems with a software-based digital signal processing approach. By analyzing frame-by-frame motion data and applying computational algorithms to generate correction transforms, the system eliminates the need for mechanical gimbals, tripods, or specialized camera equipment.
2Manufacturing precision
If optical lens mechanisms are used to correct jitter, then image quality is improved, but cost increases and availability decreases
Solution Approach 1:
The patent replaces optical lens-based stabilization mechanisms with digital image processing. By analyzing pixel displacement between frames and computing transformation matrices, the system achieves jitter correction through software algorithms rather than expensive optical components.
Solution Approach 2:
The system creates digital copies of video frames and applies transformation operations to these copies. By working with digital replicas rather than the original optical signal, the system can apply multiple correction passes and adjust parameters without degrading the source material.
3Stability of the object's composition
If fixed camera mounting is used to prevent unwanted motion, then camera stability is improved, but ease of operation decreases
Solution Approach 1:
The system performs preliminary motion analysis and model generation during the editing phase, allowing operators to review and adjust stabilization parameters before final rendering. This preliminary processing enables fine-tuning without requiring rigid fixed mounting during actual shooting operations.
4Adaptability or versatility
If post-processing software is used to remove jitter, then adaptability is improved, but processing time increases
Solution Approach 1:
The patent segments the video processing into distinct phases: motion analysis phase, model generation phase, transform computation phase, and application phase. By dividing the processing workflow into manageable segments, the system can optimize each stage independently and apply parallel processing where applicable.
Solution Approach 2:
The system changes processing parameters dynamically based on the analyzed motion characteristics. By adjusting the complexity of motion models and the aggressiveness of correction transforms according to the specific video content, the system optimizes processing efficiency while maintaining correction quality.
Data Source
AI summary
Some embodiments allow a video editor to remove unwanted camera motion from a sequence of video images (e.g., video frames). Some embodiments are implemented in a video editing application. Some of these embodiments distinguish unwanted camera motion from the intended underlying motion of a camera (e.g., panning and zooming) and/or motion of objects within the video sequence.