Media Summary Generation via Content Classification
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Solution Overview
Problem
Manually reviewing and editing media items to create summaries is time-consuming and difficult due to the complexity of manually selecting and combining content.
Innovation Solution
A system that automatically generates media summaries by obtaining media information, classifying content using machine-readable instructions, determining summary length, and identifying relevant portions based on classification information such as smiles and faces to include in the summary.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual review and editing of media items is performed to create summaries, then content selection accuracy is improved, but time consumption and operational difficulty increase
Solution Approach 1:
The system performs preliminary classification of media items by analyzing content characteristics (smiles, faces, objects) before summary creation. This advance organization allows rapid retrieval and selection of relevant segments during summary generation, eliminating the need for manual review while maintaining selection accuracy.
Solution Approach 2:
The patent introduces classification information as an intermediary between raw media items and the final summary. This intermediary layer contains pre-analyzed metadata about content characteristics, enabling the system to make accurate content selections without direct manual intervention in the media items themselves.
2Manufacturing precision
If manual editing and combining of media items is performed, then summary quality is improved, but operational complexity increases
Solution Approach 1:
The patent segments the media collection into classified groups based on content characteristics (smiles, faces, objects, emotions). This segmentation automatically organizes media items into manageable categories, simplifying the selection and combination process while maintaining summary quality through systematic categorization.
Solution Approach 2:
The system performs self-service by automatically analyzing media content, generating classification information, and selecting appropriate segments for summaries without requiring manual editing. The automated classification system serves the function previously requiring human operators, reducing operational complexity while preserving summary quality.
3Productivity
If automated classification systems are implemented to reduce manual effort, then productivity is improved, but system complexity increases
Solution Approach 1:
The system performs preliminary classification of all media items in advance, creating an organized database with pre-analyzed content characteristics. This upfront work enables rapid summary generation later, significantly improving productivity while the classification infrastructure, though complex, is built once and reused repeatedly.
Solution Approach 2:
The patent introduces classification information as an intermediary data structure that bridges raw media items and summary generation. This intermediary layer handles the complexity of content analysis internally, presenting a simplified interface for summary creation and improving productivity without exposing system complexity to users.
Data Source
AI summary
A media summary is generated to include portions of media items. The portions of media items identified for inclusion in the media summary is determined based on the length of the media summary and classification of content depicted within the media items. Classification of content depicted within the media items includes number of smiles depicted within the media items.