Video stitching method and system based on interpolation transition
A video splicing and interpolation technology, applied in the fields of computer vision and video processing, can solve the problems of unsuitable real-time splicing occasions and high time complexity of deep learning
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment Construction
[0049] The present invention proposes a video splicing method based on interpolation transition:
[0050] Step 1. Size consistency.
[0051] In the adjacent video clips, calculate the average distance value of the anchor node of each target object in the previous video (first video), and adjust the same target object in all images in the next video (tail video) based on the distance value size of. Resizes all objects of interest for all images in the next video.
[0052] Step 2. Find the position of the best splicing point.
[0053] Calculate the average position value of the anchor node of each target object in each frame image in the adjacent video clips, and use this position as the coordinate origin to recalculate the position of the non-anchor key node of the same target object in the image and the relationship between the relevant key nodes direction between.
[0054] In adjacent video clips, the stitching cost of the front and back images is calculated, including th...
PUM
Login to View More Abstract
Description
Claims
Application Information
Login to View More 


