Video Detection Synchronization for Efficient Clip Comparison
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Solution Overview
Problem
Existing video detection methods for user-generated content on platforms require manual frame-by-frame comparison, leading to complex interaction processes and low detection efficiency.
Innovation Solution
A method and apparatus for video detection that involves obtaining a first video, performing video detection to obtain a second video and reference information, and synchronously playing the first video clip and the target video clip within a target interface based on the reference information, thereby simplifying the interaction flow and increasing detection efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual frame-by-frame comparison is used for video detection, then detection accuracy can be maintained, but interaction process becomes complicated and detection efficiency decreases
Solution Approach 1:
The patent segments the video comparison process by automatically identifying and extracting key frames from both the first video and second video, then only comparing these key frames rather than performing manual frame-by-frame analysis. This segmentation maintains detection accuracy while significantly improving efficiency.
Solution Approach 2:
The system performs preliminary actions by automatically synchronizing the two videos and pre-identifying key frames before the actual comparison process. This preliminary synchronization and key frame extraction eliminates the need for manual frame-by-frame alignment during detection, resolving the contradiction between accuracy and efficiency.
2Measurement precision
If manual video synchronization and comparison is performed, then detailed analysis is possible, but the interaction process becomes complicated
Solution Approach 1:
The system implements self-service by automatically synchronizing the first video and second video based on their metadata and content features, then automatically comparing key frames without requiring manual intervention. This self-service approach maintains detailed analysis capability while eliminating the complexity of manual synchronization and comparison operations.
Solution Approach 2:
The patent replaces the mechanical manual frame-by-frame comparison process with an automated computational system that uses algorithms to identify key frames, synchronize videos, and perform content comparison. This substitution maintains analytical detail while dramatically simplifying the interaction process.
Data Source
AI summary
Embodiments of the present disclosure provide a method and apparatus for video detection, an electronic device and a storage medium. With the method, a first video is obtained; video detection is performed based on the first video to obtain at least one second video and reference information corresponding to the second video, the second video containing at least one target video clip, the target video clip being associated with the first video, the reference information characterizing a playback position of the target video clip in the second video; a first video clip in the first video and the target video clip in the corresponding second video are synchronously played based on the reference information within a target interface.