Video Metadata Generation via Script-Video Alignment
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods for creating metadata for interactive videos are time-consuming and costly, and struggle to automatically generate relevant information about video content, such as character identities and relationships, from video files.
Innovation Solution
A system that automatically creates metadata by extracting object locations from video frames and plot elements from corresponding scripts, using video and script processors to align and analyze content, saving metadata in annotation and narrative knowledge bases for efficient retrieval.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual annotation is used to create metadata for interactive videos, then the metadata can be accurately created with relevant information, but the process requires considerable time and cost
Solution Approach 1:
The patent introduces a script as an intermediary text-based representation of video content. Instead of manually annotating video frames directly, the system processes the script to extract plot elements, which are then mapped to video content. This intermediary approach automates metadata generation while maintaining accuracy by leveraging the structured narrative information in the script.
Solution Approach 2:
The patent replaces the mechanical manual annotation process with an automated computational system. The system uses natural language processing to analyze the script, extract plot elements automatically, and generate metadata without human intervention. This substitution eliminates the time-consuming manual process while preserving metadata quality through algorithmic analysis.
2Measurement precision
If manual annotation is used to create metadata for interactive videos, then the metadata can be accurately created with relevant information, but the process is costly
Solution Approach 1:
The system performs self-service by automatically processing the script and video content to generate metadata without requiring human annotators. The automated pipeline extracts plot elements from the script, identifies corresponding video segments, and creates structured metadata independently, eliminating labor costs while maintaining accuracy through systematic processing.
Solution Approach 2:
The patent replaces the costly manual labor of expert annotators with an automated computational system. By using natural language processing and automated video analysis, the system generates accurate metadata at a fraction of the cost of manual annotation, making the process economically viable while preserving quality.
3Extent of automation
If only video format content is used to generate metadata, then the process can be automated, but relevant information such as character identities and relationships is difficult to generate
Solution Approach 1:
The patent performs preliminary action by processing the script text before analyzing the video content. The system first extracts plot elements, character information, and relationships from the structured script, creating a narrative framework that guides subsequent video analysis. This preliminary text processing ensures that automated video analysis has contextual guidance to capture relevant narrative information accurately.
Solution Approach 2:
The patent merges two different data sources: the structured narrative information from the script and the visual content from the video. By combining script-based plot element extraction with video-based visual analysis, the system achieves comprehensive metadata generation that captures both narrative context (character identities, relationships) and visual content, overcoming the limitations of using either source alone.
Data Source
AI summary
Approaches presented herein enable automatic creation of metadata for contents of a video. More specifically, a video and a script corresponding to the video are obtained. A location corresponding to an object in at least one shot of the video is extracted. This at least one shot includes a series of adjacent frames. The extracted location is saved as an annotation area in an annotation knowledge base. An element of a plot of the video is extracted from the script. This element of the plot is derived from content of the video in combination with content of the script. The extracted element of the plot is saved in a narrative knowledge base.