Video Segmentation Using Evaluation Model for Target Slice Accuracy
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Solution Overview
Problem
Current video processing methods restrict target slice information to shots, limiting accuracy and flexibility in video segmentation.
Innovation Solution
A video processing method that determines a candidate slice information set based on video information, segments the video into multiple segments, inputs these segments into an evaluation model to determine probability information, and identifies target slice information, preventing restriction to shots and improving accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If video slices are segmented based on shots, then the segmentation process is simple and easy to implement, but the target slice information is restricted to shots and accuracy is reduced
Solution Approach 1:
The patent segments the video into multiple video segments based on candidate slice information, then evaluates each segment to determine probability information. This segmentation allows the system to move beyond shot-based restrictions and achieve more accurate slice information by analyzing content within segments rather than being constrained by shot boundaries.
Solution Approach 2:
The patent introduces an evaluation model as an intermediary between the video segments and the target slice information determination. This evaluation model processes the video segments and generates probability information, which then guides the determination of target slice information. This intermediary mechanism enables accurate slice information to be determined without being restricted to shot boundaries.
2Ease of manufacture
If video slices are segmented based on shots, then the processing process is straightforward, but flexibility in determining target slice information is limited
Solution Approach 1:
The patent makes the slice determination process dynamic by using an evaluation model that analyzes video segments and generates probability information. This dynamic approach allows the target slice information to be determined based on actual video content characteristics rather than fixed shot boundaries, providing flexibility while maintaining a relatively simple processing framework.
Solution Approach 2:
The patent changes the parameter used for slice determination from shot-based boundaries to probability-based determination. By using probability information generated from video segment evaluation, the system can adaptively determine target slice information that is not constrained by shot structure, thereby improving flexibility without significantly complicating the processing approach.
3Device complexity
If shot-based segmentation is used, then the method is simple to implement, but the accuracy and precision of video processing is reduced
Solution Approach 1:
The patent implements a feedback mechanism where the evaluation model processes video segments and generates probability information that feeds back into the target slice information determination. This feedback loop enables the system to continuously refine its slice determination based on actual video content, improving processing precision without substantially increasing implementation complexity.
Solution Approach 2:
The patent replaces the mechanical shot-based segmentation approach with a content-based evaluation system. Instead of relying on fixed shot boundaries, the system uses an evaluation model to analyze video segments and determine target slice information based on content characteristics. This substitution improves processing precision while keeping the overall method relatively simple.
Data Source
AI summary
Provided are a video processing method and apparatus, an electronic device, and a medium. The method includes that a candidate slice information set of an original video is determined based on video information of the original video, the original video is segmented into a plurality of video segments based on each piece of candidate slice information in the candidate slice information set, the plurality of video segments is input into an evaluation model to determine a piece of probability information of each piece of candidate slice information, and target slice information of the original video is determined based on the piece of probability information corresponding to each piece of candidate slice information.


