Automated Video Content Update via Data Binding
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Solution Overview
Problem
Videos are static in nature, requiring manual editing to update content, which is time-consuming and cumbersome, especially for dynamic content that changes frequently, such as sales figures or revenue data, making it difficult for users without video editing skills to maintain up-to-date information in videos.
Innovation Solution
A video editing platform that automatically updates video content by retrieving data from sources, generating dynamic visualizations, and replacing images within the video, allowing the video to be composed once and played 'live' as content changes over time, using a video composer application that fetches content from data sources and updates the video based on changing data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual video editing is used to update content, then video content can be changed, but the process is time-consuming and cumbersome
Solution Approach 1:
The system performs preliminary actions by establishing data bindings and automation rules during video creation. When source data changes, the predefined bindings automatically trigger content updates without requiring manual editing intervention, thus resolving the contradiction between content adaptability and time consumption.
Solution Approach 2:
The video editing system performs self-service through automated content updates. The system monitors data source changes and automatically regenerates video content based on predefined bindings, eliminating the need for manual editing operations and significantly reducing the time required for content updates.
2Adaptability or versatility
If manual video editing is used to update content, then video content can be changed, but it requires video editing skills that not everyone has
Solution Approach 1:
The system enables non-expert users to update video content through self-service automation. By establishing data bindings and rules in advance, the system automatically handles content updates when source data changes, making the process accessible to users without video editing skills.
Solution Approach 2:
The patent introduces an intermediary automation layer between the data source and video content. This intermediary system translates data changes into video updates automatically, shielding users from complex editing operations while maintaining content update capability.
3Reliability
If videos are made dynamic to reflect changing data, then information currency is improved, but the complexity of the video system increases
Solution Approach 1:
The system segments the video content into modular components that are independently bound to specific data sources. This segmentation allows individual content elements to be automatically updated based on their associated data changes, maintaining information currency while managing complexity through modular organization.
Solution Approach 2:
The patent implements dynamics by enabling video content to automatically adapt to changing data sources. The system maintains dynamic bindings between data and content, allowing videos to reflect current information without requiring complex manual re-editing, thus balancing reliability and system complexity.
Data Source
AI summary
Methods, systems, and computer-readable storage media for receiving metadata indicating one or more data sources, automatically retrieving data from a data source indicated in the metadata based on analytical data, generating a visualization based on the data, the visualization including an updated version of a previous visualization, generating an image of the visualization, and providing a video including the image, the image replacing a previous image within the video.