Template-Based Video Generation for Faster, Higher-Quality Editing
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Solution Overview
Problem
Users lack editing experience, leading to increased time and reduced quality in video production when creating videos from various materials.
Innovation Solution
A method and apparatus that applies an editing template to multimedia data generated from text data, eliminating the need for manual video editing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If users manually perform video editing operations on materials, then video production quality can be improved, but time cost increases significantly
Solution Approach 1:
The system performs preliminary actions by automatically searching for and collecting video materials, performing initial cutting and segmentation, and preparing edited video segments before the user needs them. This automation of preparatory editing tasks significantly reduces the time users need to spend on manual video production while maintaining quality standards through algorithmic material selection and arrangement.
2Ease of manufacture
If users with limited editing experience perform video editing, then video production can be completed, but the quality of produced videos deteriorates
Solution Approach 1:
The system enables self-service by automatically performing material search, video cutting, segmentation, and editing operations without requiring user expertise. The automated video production system handles complex editing tasks independently, allowing users with limited editing experience to produce high-quality videos by simply providing input parameters or selecting from pre-configured templates.
3Manufacturing precision
If complex video editing operations are performed manually, then video quality can be improved, but the complexity of the process increases
Solution Approach 1:
The system introduces an intermediary automated video production system that mediates between user requirements and complex editing operations. This intermediary handles material search, video cutting, segmentation, and editing tasks, shielding users from process complexity while delivering high-quality results through algorithmic optimization and automated decision-making.
Data Source
AI summary
Embodiments of the present disclosure relates to a method, apparatus, device, storage medium, and program product for video generation. The method comprises: generating initial multimedia data based on received text data; obtaining a target editing template in response to an editing template obtaining request; applying the editing operation indicated by the target editing template to the initial multimedia data to obtain target multimedia data; and generating target video based on the target multimedia data. Embodiments of the present disclosure generates video by directly applying the editing operation in the obtained editing template to the multimedia data, without the need for users to manually clip the video. This can not only reduce the time cost of video production, but also improve the quality of video production.