AI Video Content Creation With Voice-Over and Creative Evaluation
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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 across various devices and formats, which is time-consuming and resource-intensive.
Innovation Solution
An AI-powered digital content generation system that leverages existing assets, includes a video component creation tool, a voice-over tool, and an evaluation tool to automate and enhance the creation of digital content, using natural language inputs and style embeddings to maintain consistency and effectiveness.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If SMBs create video components manually with limited resources, then budget and resource consumption are reduced, but content quality and effectiveness deteriorate
Solution Approach 1:
The system uses AI models to replicate and generate video components that mimic professional production quality. The generative AI model creates video content that copies the style, structure, and effectiveness of professionally produced videos, allowing SMBs to achieve high-quality output without the corresponding budget and resource investment.
Solution Approach 2:
The patent replaces manual mechanical video production processes with an automated AI-based system. Instead of requiring human creators to manually film, edit, and produce video content, the system uses generative AI models to automatically create video components based on input prompts and existing assets, eliminating the need for expensive production equipment and professional expertise.
2Reliability
If SMBs hire experts to create video components, then content quality improves, but cost and resource requirements increase
Solution Approach 1:
The AI system copies and replicates the expertise of professional video creators through trained generative models. The model learns from existing high-quality video content and produces similar quality output independently, eliminating the need to hire paid experts while maintaining consistent content quality and effectiveness.
Solution Approach 2:
The system enables SMBs to perform video creation tasks independently through the AI tool, without requiring external expert assistance. The generative AI model serves itself by automatically generating video components based on simple text prompts, allowing the business to create high-quality content on its own rather than relying on expensive external expertise.
3Adaptability or versatility
If video components are created for multiple devices and formats, then adaptability improves, but complexity and time requirements increase
Solution Approach 1:
The generative AI model is designed to create video components that are universally applicable across multiple devices and formats simultaneously. The system generates a single video output that can be adapted for various platforms including mobile devices, desktops, and televisions, eliminating the need to create separate versions for each device type and reducing overall production complexity.
Data Source
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AI summary
The technology is directed to artificial intelligence (AI) powered tools that can enhance existing digital video components and simplify and automate the creation of new digital video components. The technology includes a digital video component creation tool that leverages existing assets to generate digital video components, a voice-over tool that can add voice-overs, generated from text to, video components, and a video component evaluation tool that can evaluate video components for conformity with attributes associated with best practices for video creatives.