Video Interaction Workflow for Automated Custom Video Generation
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Solution Overview
Problem
Existing video processing methods require significant human and computing resources due to manual analysis and adjustment, leading to high resource overhead and difficulty in efficiently generating new videos.
Innovation Solution
An interaction method that automatically analyzes a target video to generate configuration items, allowing users to provide configuration information through a configuration region, resulting in the generation of a new video that retains and modifies video characteristics based on user input.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual analysis and adjustment methods are used for video processing, then users can customize video characteristics, but resource overhead (human and computing resources) increases significantly
Solution Approach 1:
The system automatically analyzes the target video to obtain video characteristics and generates configuration items without requiring manual analysis. The system serves itself by automatically extracting features, generating prompts, and creating configuration options, thereby reducing human resource overhead while maintaining customization capability
Solution Approach 2:
The system performs preliminary automatic analysis of the target video to extract characteristics and generate configuration items before user interaction. This preliminary action prepares the configuration options in advance, reducing the need for manual analysis and adjustment during the actual video processing task
2Adaptability or versatility
If manual analysis and adjustment methods are used for video processing, then users can control video generation process, but processing efficiency decreases due to high resource overhead
Solution Approach 1:
The system replaces manual mechanical analysis and adjustment operations with automated computational processes. The automatic video analysis and configuration item generation substitute for manual human operations, significantly improving processing efficiency while maintaining user control through the generated configuration options
Solution Approach 2:
The system introduces configuration items as an intermediary between the target video and the generated video. These configuration items automatically capture essential video characteristics and provide structured control options, enabling efficient processing while maintaining user control over the generation process
3Productivity
If automatic video analysis is implemented, then resource overhead is reduced, but system complexity increases
Solution Approach 1:
The system segments the complex video processing task into distinct components: automatic video analysis, video characteristic extraction, configuration item generation, and video synthesis. This segmentation manages system complexity by breaking down the overall process into manageable, modular stages that can be independently implemented and controlled
Data Source
AI summary
The present application discloses an interaction method, a device, and a medium. The method includes: displaying a target page, wherein at least one candidate video is displayed on the target page; displaying, in response to a selection operation for a target video in the at least one candidate video, a configuration region of at least one configuration item on the target page, wherein the at least one configuration item is obtained by analyzing the target video; and displaying a new video, wherein the new video is generated based on the target video and configuration information, and the configuration information is determined based on a configuration operation triggered in the configuration region.