AI Digital Content Generation for Style-Consistent Campaign Video
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Solution Overview
Problem
Small and medium-sized businesses (SMBs) face challenges in creating effective digital video components due to limited resources, expertise, and budget constraints, resulting in suboptimal content for various devices and formats, which is time-consuming and resource-intensive.
Innovation Solution
An AI-powered digital content generation system that leverages existing assets, voice-over tools, and evaluation tools to automate and enhance the creation of digital content, including video components, by using natural language inputs and style embeddings to maintain consistency and match the campaign creator's style and context.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If SMBs create video components manually with limited resources, then they can produce content, but the quality and effectiveness are reduced due to lack of expertise and time constraints
Solution Approach 1:
The system enables SMBs to create effective video components autonomously through AI-powered tools that automatically generate scripts, select footage, create visual effects, and produce voice-overs without requiring specialized expertise or extensive manual effort
Solution Approach 2:
Manual video production processes are replaced with automated AI systems that handle scriptwriting, asset selection, editing, and rendering, substituting human labor with intelligent algorithms that can process and create content rapidly
2Adaptability or versatility
If video components are created for multiple devices and formats, then adaptability is improved, but complexity and resource requirements increase significantly
Solution Approach 1:
The AI system is designed to universally generate video components that can be automatically adapted to multiple device formats and platforms simultaneously, with a single input producing optimized versions for mobile, desktop, and other formats without requiring separate production processes
Solution Approach 2:
The system dynamically adjusts video parameters such as aspect ratio, resolution, and formatting based on the target device or platform, allowing the same base content to be automatically optimized for different display contexts without manual intervention
3Reliability
If specialized expertise is hired for video component creation, then content quality improves, but cost and resource requirements increase
Solution Approach 1:
The AI-powered platform enables SMBs to produce high-quality video components independently without hiring specialized talent, as the system automatically handles all production tasks including script generation, visual selection, editing, and formatting
Solution Approach 2:
The system replicates the work of professional video creators by using AI models trained on successful video content to generate comparable quality outputs, effectively copying the expertise of human professionals through automated algorithms
4Reliability
If new campaigns are created from scratch for each event, then relevance to audience is improved, but time consumption and resource intensity increase
Solution Approach 1:
The system creates reusable video component templates and asset libraries in advance that can be quickly customized for different events and campaigns, eliminating the need to create content from scratch for each occasion
Solution Approach 2:
Video components are divided into modular, reusable segments that can be independently selected and combined to create customized campaigns for different events, allowing rapid assembly of relevant content without rebuilding everything from scratch
Data Source
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AI summary
Methods, systems, and apparatus, including computer-readable storage media for generating model-generated digital content based on prompts and other inputs. The prompts may be, for example, inputs for modifying digital content associated with an existing campaign. The prompts may include national language input. The natural language prompts may include, for example, a theme, information related to an upcoming event, the topic of the campaign, or the like. The other inputs may also include information associated with the campaign creator's style. The information associated with the campaign creator's style may be in the form of embeddings. A system implementing the methods described herein can generate the digital content for the modified campaign based on the received inputs received from the campaign. The generated digital content may be in the form of text, image, or the like.