Video Motion Blur Matching for Seamless Embedded Transitions
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing video transition methods result in poor fusion effects when one video's motion blur is not matched with the other, leading to suboptimal transition effects.
Innovation Solution
A method that tracks the position movement status of a target sub-image in the first video and applies corresponding motion blurring to the second video to match the motion blur, ensuring a seamless transition.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If motion blurring is not applied to match the position movement status of the target sub-image, then the video transition effect is poor and the fusion of the two videos is suboptimal, but applying motion blurring increases the complexity of the video processing
Solution Approach 1:
The patent applies motion blurring to the second video in advance, based on the position movement status of the target sub-image in the first video, before the video transition is displayed. This preliminary processing ensures that the motion blur effects are pre-matched, so when the transition occurs, both videos already have consistent motion blur characteristics, improving the transition effect without adding real-time processing complexity.
2Manufacturing precision
If the position movement status of the target sub-image is tracked and motion blurring is applied correspondingly, then the fusion effect of the two videos is improved, but the processing time and computational resources increase
Solution Approach 1:
The patent performs motion blur processing in advance based on the position movement status of the target sub-image, rather than calculating and applying motion blur in real-time during video playback. This preliminary action allows the system to pre-compute the motion blur effects, improving fusion precision while reducing real-time processing time and computational resource requirements.
Data Source
Figure 1~2
Figure 3
Figure 4
AI summary
Disclosed are a video data processing method and apparatus, and a computer device and a storage medium, which belong to the technical field of video processing. In the present application, when a second video is embedded into a target sub-image of a first video, a positional movement situation of the target sub-image in the first video is acquired on the basis of artificial intelligence technology, and motion blurring processing is correspondingly performed on a picture of the second video according to the positional movement situation, such that the second video and the first video have the same motion blurring effect, and the first video and the second video can be better fused, thereby obtaining a better video transition effect.