Automatic Video Frame Grouping for Consistent Editing
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing video editing tools require users to manually review each video frame to identify segments for removal and retention, leading to low efficiency and difficulty in achieving a consistent visual effect.
Innovation Solution
A method and apparatus that utilize evaluation indicators to automatically group video frames based on predetermined conditions, determining time periods for keeping or removing segments, and generating a new video by incorporating only high-quality frames.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If users manually review each video frame to identify segments for removal and retention, then video processing precision can be controlled, but video processing efficiency deteriorates
Solution Approach 1:
The system automatically evaluates video frames using evaluation indicators and groups them according to predetermined conditions without requiring manual review. The video processing system performs self-service by autonomously determining which segments to keep or remove based on objective criteria, thereby improving efficiency while maintaining processing precision.
Solution Approach 2:
The patent replaces the mechanical manual review process with an automated evaluation system that uses evaluation indicators and grouping algorithms. This substitution of mechanical human review with automated computational processes directly addresses the efficiency problem while preserving the ability to control processing precision through configurable evaluation criteria.
2Loss of time
If users manually identify video segments for removal and retention, then control over video content is maintained, but time consumption increases
Solution Approach 1:
The system performs preliminary automatic evaluation and grouping of video frames before final video generation. By pre-grouping frames according to evaluation indicators and predetermined conditions, the system eliminates the need for users to manually scan through entire videos, significantly reducing time consumption while maintaining content control through configurable grouping criteria.
Solution Approach 2:
The video processing system performs self-service by automatically evaluating and grouping video frames without user intervention. This autonomous preliminary action reduces time consumption dramatically compared to manual review, while the system maintains control over content through programmable evaluation indicators and grouping conditions.
3Productivity
If evaluation indicators are used to automatically group video frames, then video processing efficiency is improved, but complexity of the system increases
Solution Approach 1:
The patent introduces evaluation indicators as configurable parameters that can be adjusted to match different video processing needs. By changing these parameters rather than hardcoding complex logic, the system achieves high processing efficiency while keeping the underlying structure relatively simple and adaptable to different scenarios.
Solution Approach 2:
The system segments the video processing task into discrete evaluable frames and groups them based on evaluation indicators. This segmentation approach simplifies the overall system by breaking down complex video processing into manageable units that can be independently evaluated and grouped, reducing system complexity while maintaining high efficiency.
Data Source
AI summary
A method, an apparatus, a device, and a medium for generating a video are provided. In one method, a plurality of video frames in a first video are obtained. A plurality of evaluation indicators of the plurality of video frames in the first video are obtained, respectively. The plurality of video frames is divided into at least one group of consecutive video frames based on the plurality of evaluation indicators, respective evaluation indicators of respective video frames in the at least one group of consecutive video frames meeting a predetermined condition. For a first group of consecutive video frames in the at least one group of consecutive video frames, a first time period associated with the first group of consecutive video frames is determined. A second video is generated by using a first video segment in the first time period in the first video.