Video Clip Generation Triggered by Media Availability
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Solution Overview
Problem
Existing multimedia generation systems lack efficiency in generating video clips as they often spend resources on clips that may not have sufficient suitable visual media, leading to resource wastage and inefficiency, especially in large-scale applications.
Innovation Solution
A method and system that associate visual media items with story topics, rank them based on factors like social-media popularity and sentiment, and initiate video clip creation only when sufficient suitable media is available, ensuring that human and computer resources are used effectively by presenting only promising candidate topics to human moderators.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If video clip generation is initiated without checking media availability first, then the system can respond quickly to topic requests, but resources are wasted on clips that may not have sufficient suitable visual media
Solution Approach 1:
The system performs preliminary actions by checking media availability and ranking topics before initiating video clip generation. The topic selection unit ranks candidate topics based on media availability metrics (number of media items, diversity, recency) and only initiates generation for high-ranked topics, ensuring resources are allocated to clips with sufficient suitable visual media before production begins
2Loss of energy
If the system checks media availability and ranks all candidate topics before generation, then resource efficiency is improved, but the process complexity increases
Solution Approach 1:
The system segments the video production process into distinct functional units: a media availability checking unit that assesses candidate topics, a topic selection unit that ranks and selects topics based on predefined criteria, and a video generation unit that produces clips. This segmentation allows each unit to operate independently with clear inputs and outputs, managing complexity through modular design while maintaining resource efficiency
3Manufacturing precision
If human moderators review all candidate topics, then selection quality is improved, but time and effort are wasted on topics unlikely to produce successful clips
Solution Approach 1:
The automated topic selection unit performs preliminary filtering and ranking of candidate topics based on media availability metrics before presenting them to human moderators. This preliminary action ensures moderators only review high-ranked topics that meet predefined thresholds for media sufficiency, diversity, and recency, significantly reducing the number of topics requiring human review while maintaining selection quality
Data Source
AI summary
A method includes receiving multiple visual media items from one or more media databases, and associating the visual media items with one or more story topics. In response to deciding that a given story topic is associated with sufficient suitable visual media items, computer-aided creation of a video clip relating to the given story topic is initiated using the associated visual media items.