Video Recognition Using Series and Platform Reference Matching
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Solution Overview
Problem
Current video recognition methods have low accuracy in identifying similar video clips, such as openings and endings, across different videos on network video platforms, which hinders efficient video comparison and editing processes.
Innovation Solution
A video recognition method that performs video frame matching between a target video and reference videos to identify series local and platform global similar clips, determining a comprehensive similar clip based on their positions, thereby improving recognition accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If video frame matching is performed between target video and reference videos to identify similar clips, then recognition accuracy is improved, but computational complexity and processing time increase
Solution Approach 1:
The patent segments the reference videos into two categories: series reference videos (from the same video series) and platform reference videos (from the same platform). This segmentation allows the system to perform targeted frame matching on different reference sets, improving recognition accuracy for different types of similar clips while managing computational complexity through focused processing.
Solution Approach 2:
The patent performs partial frame matching by focusing on specific time segments and key frames rather than exhaustive frame-by-frame comparison of entire videos. The system identifies and matches only the relevant portions (openings, endings, and similar clips) within videos, reducing computational complexity while maintaining recognition accuracy for the target similar clips.
2Measurement precision
If comprehensive similar clip recognition is performed by combining series local and platform global similar clips, then recognition accuracy is improved, but processing time increases
Solution Approach 1:
The patent performs preliminary frame matching between the target video and series reference videos first to identify series local similar clips. This preliminary action establishes a baseline recognition result that can be refined or supplemented by subsequent platform-level matching, reducing the need for exhaustive platform-wide comparison and thus reducing processing time while maintaining accuracy.
Solution Approach 2:
The system uses feedback from the series local similar clip recognition results to guide the platform global similar clip recognition process. If series local matching already identifies high-confidence similar clips, the platform-level matching can focus on verifying or supplementing these results rather than performing independent exhaustive matching, thereby reducing overall processing time while maintaining comprehensive accuracy.
Data Source
AI summary
A video recognition method, performed by a computer device, including obtaining a target video and a series reference video in a video series, recognizing a series local similar clip in the target video relative to the series reference video according to a first matching result obtained by performing video frame matching on the target video and the series reference video, obtaining a platform reference video from a video platform to which the target video belongs, recognizing a platform global similar clip in the target video relative to the platform reference video according to a second matching result obtained by performing video frame matching on the target video and the platform reference video, and determining a comprehensive similar clip in the target video relative to the series reference video and the platform reference video based on positions of the series local similar clip and the platform global similar clip.