Pose-Based Dance Video Transition for Seamless Multi-Cut Editing
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Solution Overview
Problem
Video editing for creating seamless transitions in dance cover videos is inefficient and time-consuming, requiring manual organization and review of multiple performance videos.
Innovation Solution
A multi composition algorithm and automated techniques are used to estimate pose information, calculate pose distances, match music patterns, and detect scenes to automatically determine a transition point between performance videos, generating a seamless transition video.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If manual organization and review of multiple performance videos is performed, then creative video effects such as overlap can be achieved, but the editing process becomes time-consuming and inefficient
Solution Approach 1:
The system automatically performs video organization, transition point detection, and editing operations without requiring manual user intervention. The processor autonomously analyzes pose information, calculates pose distances, identifies transition points, and generates the final edited video, allowing the editing system to serve itself rather than requiring continuous human operation.
Solution Approach 2:
The patent replaces manual mechanical editing operations with automated computational processing. Instead of manually reviewing and organizing video frames, the system uses processors to automatically estimate pose information, calculate pose distances, detect transition points, and generate edited videos, substituting human manual labor with automated image processing and algorithmic operations.
2Productivity
If automated multi-dance transition is implemented, then video editing efficiency is improved, but the complexity of the processing system increases
Solution Approach 1:
The automated video editing system is divided into distinct functional modules: a pose information estimation module that extracts pose data from video frames, a pose distance calculation module that computes distances between poses, a transition point detection module that identifies optimal transition moments, and a video generation module that creates the final edited output. This segmentation allows each module to perform its specific function independently, improving overall system productivity while managing complexity through modular design.
Data Source
AI summary
Video processing systems and methods are disclosed. An exemplary video processing method includes receiving a first performance video and a second performance video, and estimating, by at least one processor, pose information in each of the first performance video and the second performance video. The video processing method further includes determining, by the at least one processor, a point of transition from the first performance video to the second performance video based on a pose distance calculated using the estimated pose information; and generating, by the at least one processor, a third performance video by transitioning the first performance video to the second performance video at the point of transition.