Automated Video Commentary Generation via Text Conversion
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Solution Overview
Problem
Current video commenting methods lack efficiency and relevance, as they do not effectively convert video content information into accurate and timely commentary, especially for dynamic video frames with motion information.
Innovation Solution
A method and apparatus that acquire content information from video frames, construct text descriptions, import them into a pre-trained text conversion model to generate commentary text, and convert it into audio information, utilizing image recognition, part-of-speech analysis, and scenario-specific sentence patterns to enhance commentary pertinence and efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional video commenting methods are used, then commentary can be provided, but the efficiency and relevance of commentary generation are low
Solution Approach 1:
The patent replaces manual commentary creation with an automated system that uses image recognition to extract video content information, constructs text descriptions, converts text to commentary through a text conversion model, and generates audio commentary. This mechanical substitution dramatically improves commentary generation efficiency while maintaining relevance through structured content extraction and scenario-specific sentence patterns.
Solution Approach 2:
The system enables self-service commentary generation by automatically processing video frames through image recognition, constructing meaningful text descriptions, and converting them to audio commentary without human intervention. The automated pipeline extracts content information, determines scenario types, and generates synchronized audio commentary independently, resolving the contradiction between efficiency and relevance.
2Productivity
If automated commentary generation is implemented, then efficiency improves, but accuracy and pertinence of commentary may deteriorate
Solution Approach 1:
The patent introduces text description information as an intermediary between video content and commentary. The system first extracts content information from video frames, constructs accurate text descriptions using part-of-speech analysis and sentence component determination, then converts these structured texts to commentary. This intermediary layer ensures accuracy while enabling automated high-speed generation.
Solution Approach 2:
The system changes the parameter of information representation from raw video pixels to structured text descriptions with semantic meaning. By transforming video content into organized text with identified subjects, predicates, and objects, then converting to commentary using scenario-specific patterns, the system maintains high accuracy while achieving automated efficient generation.
3Reliability
If detailed content analysis is performed on video frames, then commentary relevance improves, but processing time increases
Solution Approach 1:
The patent extracts only the essential content information from video frames using image recognition, focusing on key elements needed for commentary rather than analyzing all visual details. By extracting relevant content information and constructing concise text descriptions with identified sentence components, the system achieves high commentary relevance while minimizing processing time through selective information extraction.
Data Source
AI summary
Embodiments of the present disclosure disclose a method and apparatus for commenting a video, and relate to the field of cloud computing. The method may include: acquiring content information of a to-be-processed video frame; constructing text description information based on the content information, the text description information being used to describe a content of the to-be-processed video frame; importing the text description information into a pre-trained text conversion model to obtain commentary text information corresponding to the text description information, the text conversion model being used to convert the text description information into the commentary text information; and converting the commentary text information into audio information.