Automated Video Frame and Audio Text Alignment
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Solution Overview
Problem
The existing methods for generating graphic and text information from videos are inefficient, requiring manual selection and editing of images and text, which is time-consuming and labor-intensive.
Innovation Solution
An information generation method and apparatus that automatically processes input videos to extract video frames and audio data, determines target video frames and text information, and generates graphic and text information by aligning the video and audio elements in time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual selection and editing of images and text is used, then quality control can be maintained, but time consumption and labor intensity increase significantly
Solution Approach 1:
The system performs automatic processing of videos to generate graphic and text information without requiring manual intervention. The automated pipeline includes video frame extraction, audio data processing, text information generation, and automatic assembly, allowing the system to serve itself rather than requiring human operators to manually select and edit content.
Solution Approach 2:
The patent replaces manual mechanical operations (human selection and editing) with automated computational processes. Computer algorithms automatically process video frames, transcribe audio, generate text information, and assemble the final output, substituting human labor with automated digital processing systems.
2Productivity
If manual selection and editing of images and text is used, then accuracy can be controlled, but labor intensity increases
Solution Approach 1:
The system automatically performs all necessary operations including video frame extraction, audio transcription, text generation, and graphic assembly without requiring human operators. The automated pipeline handles the entire process from input video to final output, eliminating manual labor intensity while maintaining operational accuracy.
Solution Approach 2:
Manual labor is replaced with automated computational systems that process videos through multiple stages: extracting video frames, processing audio data, generating text information, and assembling the final graphic and text output. This substitution eliminates human labor intensity while maintaining processing accuracy through algorithmic operations.
3Productivity
If automatic processing is implemented, then efficiency increases, but system complexity increases
Solution Approach 1:
The automated system is divided into distinct functional modules: video frame extraction module, audio data processing module, text information generation module, and graphic and text assembly module. Each module handles a specific task independently, making the complex system manageable through modular architecture while maintaining high processing efficiency.
Solution Approach 2:
The system performs preliminary processing steps in sequence: first extracting video frames, then processing audio data, then generating text information based on the extracted elements, and finally assembling the complete output. This staged approach breaks down the complex automatic processing into manageable sequential operations, reducing overall system complexity while maintaining efficiency.
Data Source
AI summary
Provided in embodiments of the disclosure are an information generation method and apparatus. The information generation method comprises: obtaining an input video, and extracting video frames and audio data in the input video; processing the video frames to determine a target video frame, and processing the audio data to obtain text information; determining, based on a corresponding time of the target video frame in the input video and corresponding time of the text information in the input video, target text information corresponding to the target video frame; and processing the target video frame and the target text information to generate graphic and text information.