Video Continuity Detection Using Dynamic Region Motion Analysis
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Solution Overview
Problem
Existing video data is prone to tampering and forgery, and manual inspection methods are inefficient and prone to human error, making it difficult to determine video continuity and authenticity.
Innovation Solution
A method involving inter-frame comparison to identify dynamic regions, group similar pixels, and analyze motion and color changes of pixel blocks to determine video continuity, using a server or apparatus with a processor and storage device to automate the process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual inspection is used to assess video continuity, then human judgment can be applied, but the process is time-consuming and prone to human error
Solution Approach 1:
The patent replaces manual visual inspection with an automated computer-based system that uses image processing algorithms to analyze video frames. The system extracts features from video frames, compares them across frames, and automatically determines continuity, eliminating human time investment while maintaining or improving detection accuracy through consistent algorithmic application.
2Measurement precision
If manual inspection is used to detect video manipulations, then human expertise can be applied, but the method is insufficient to reliably detect sophisticated editing and forgery techniques
Solution Approach 1:
The patent transforms the video analysis problem into quantitative parameter comparisons by extracting numerical features from video frames (such as pixel values, motion vectors, and statistical properties). The system compares these parameters across frames to detect anomalies that indicate manipulation, providing both high precision in detecting subtle tampering and consistent results through repeatable computational methods.
3Productivity
If automated methods are implemented for video continuity determination, then processing speed and consistency improve, but system complexity increases
Solution Approach 1:
The patent divides the video analysis task into discrete segments or frames, processing each frame independently through a standardized sequence of operations (feature extraction, comparison, and continuity determination). This segmentation approach enables parallel processing and automation while keeping each processing step relatively simple and modular, balancing productivity gains with manageable system complexity.
Data Source
AI summary
A method, apparatus and non-transitory computer-readable storage medium for determining video continuity. The method first extracts individual frames from the video and compares adjacent frames to identify dynamic regions within each frame. Subsequently, pixels with similar colors and nearby positions within the dynamic regions are grouped into pixel blocks. By determining whether these pixel blocks represent moving objects and analyzing the color and motion changes of the boundary pixels of the moving objects, the continuity of the entire video can be determined.