Automated Video Generation from Text and Multimedia
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Solution Overview
Problem
Conventional video creation methods are time-consuming and labor-intensive, as users must manually search for and edit materials, often resulting in suboptimal video quality due to limited resources.
Innovation Solution
A video processing system and method that automatically generates a target video by acquiring a target text from original data, generating subtitle text, and selecting corresponding multimedia materials, thereby reducing manual effort and enhancing video quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If users manually search for and edit video materials, then they can create videos with customized content, but the time consumption and labor intensity increase significantly
Solution Approach 1:
The system performs automatic video material selection and assembly without requiring user intervention. The processor automatically obtains target text from original data, generates subtitle text, selects matching multimedia materials, and assembles the video, allowing the system to serve itself in the video creation process
Solution Approach 2:
The patent replaces the mechanical manual operations of searching, selecting, and editing video materials with an automated computational system. The processor executes algorithms to obtain text, generate subtitles, select multimedia materials, and assemble videos, substituting human manual labor with automated mechanical processes
2Manufacturing precision
If users manually edit videos with limited materials, then they can maintain control over content quality, but the video quality deteriorates due to insufficient material resources
Solution Approach 1:
The system performs multiple functions in a unified automated process: obtaining target text from original data, generating subtitle text, selecting multimedia materials, and assembling videos. This multi-functional approach ensures comprehensive content utilization and maintains high video quality through systematic processing of all material aspects
Solution Approach 2:
The system employs feedback mechanisms where the processor continuously evaluates the original data, adjusts the target text extraction, refines subtitle generation, and optimizes multimedia material selection based on matching criteria. This feedback loop ensures high video quality by iteratively improving each processing stage
3Productivity
If complex video editing operations are performed manually, then detailed control over video elements is achieved, but the operation complexity and time cost increase
Solution Approach 1:
The video creation process is segmented into distinct automated operations: obtaining target text from original data, generating subtitle text, selecting multimedia materials, and assembling the video. Each segment is handled independently by the processor, simplifying the overall complex process into manageable automated stages that improve productivity
Data Source
AI summary
A video display method and apparatus, a video processing method, apparatus, and system, a device, and a medium. The video display method comprises: receiving a video generation operation for original data, wherein the original data is used for obtaining a target text, and the video generation operation is used for triggering the generation of a target video corresponding to the target text (S210); and in response to the video generation operation, displaying a generated target video, wherein the video elements of the target video comprise a caption text and a multimedia material corresponding to the caption text, the caption text is generated according to the target text, and the multimedia material is obtained according to the caption text (S220). According to the video display method and apparatus, the video processing method, apparatus, and system, the device, and the medium, the time cost of making a video can be reduced, and the quality of a made video can be improved.