Video Splicing With Freeze-Frame Reference Alignment
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Solution Overview
Problem
Current video splicing methods suffer from poor splicing effects, particularly in creating seamless panoramic videos.
Innovation Solution
A method involving frame freeze detection to identify freeze frames, determining a reference frame, finding overlapping areas, and aligning and splicing videos based on these areas to achieve natural transitions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If traditional video splicing methods are used, then the splicing process can be completed, but the video splicing effect is poor with visible seams and unnatural transitions
Solution Approach 1:
The patent applies preliminary action by performing freeze frame detection and reference frame selection before the actual splicing operation. The method detects freeze frames in advance, selects optimal reference frames from these freeze frames, and pre-calculates alignment parameters, thereby improving splicing quality while managing complexity through structured preprocessing steps
Solution Approach 2:
The patent segments the video splicing process into distinct stages: freeze frame detection, reference frame selection, overlapping area identification, and alignment/splicing execution. This segmentation allows each stage to be optimized independently, improving overall splicing effect while making the complex process more manageable and systematic
2Stability of the object's composition
If freeze frame detection and reference frame selection are performed, then the transition smoothness is improved, but the processing time increases
Solution Approach 1:
The patent applies partial action by performing freeze frame detection on only certain portions of the video or selecting a limited number of key freeze frames as reference frames, rather than processing every frame. This approach maintains transition smoothness through careful selection of critical frames while reducing overall processing time by avoiding exhaustive analysis of all video content
Data Source
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AI summary
The present application relates to a video splicing method and apparatus, and a computer device and a storage medium. The method comprises: acquiring a first video and a second video, which are to be spliced, wherein the first video is before the second video; performing freeze frame detection on the first video or the second video, so as to obtain a freeze frame sequence; obtaining a reference video frame on the basis of the freeze frame sequence; searching for an overlapping area on the basis of the reference video frame, so as to obtain a first overlapping video frame area corresponding to the first video and a second overlapping video frame area corresponding to the second video; and on the basis of the first overlapping video frame area and the second overlapping video frame area, splicing the first video and the second video to obtain a spliced video. By means of the method, the video splicing effect can be improved.