Modular Video Advertisement Templates for Automated Business Customization
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Solution Overview
Problem
Generating compelling video advertisements requires significant creative effort, time, and resources, which small or localized businesses often lack, necessitating scalable systems for automated creation without sacrificing customization or performance.
Innovation Solution
A system that uses modular video advertisement templates and machine learning-based services for content generation, voice synthesis, media selection, and aesthetic refinement, enabling automated creation of tailored video advertisements based on structured business input.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automated video advertisement generation systems are implemented, then productivity and scalability are improved, but device complexity and initial resource requirements increase
Solution Approach 1:
The system divides video advertisement generation into modular components: template selection module, content generation module (text, image, audio), and assembly module. Each component handles specific tasks independently, allowing the complex generation process to be managed through simplified, reusable modules that can be selectively activated based on needs.
Solution Approach 2:
The system employs universal templates and multi-functional AI models that can generate different types of content (text, images, audio) and adapt to various business types and advertising goals. A single system architecture serves multiple purposes: selecting appropriate templates, generating customized content, synthesizing audio, and assembling final videos across different platforms and formats.
2Adaptability or versatility
If custom video advertisements are created for each business, then advertisement quality and customization are improved, but loss of time and production costs increase
Solution Approach 1:
The system performs preliminary actions by pre-defining multiple video advertisement templates with various structures, styles, and layouts before actual advertisement generation is needed. These templates are prepared in advance with placeholder structures for content insertion, allowing rapid customization when business-specific requirements are received without starting from scratch each time.
Solution Approach 2:
The system uses template copying and instantiation where standardized video advertisement structures are replicated and adapted for different businesses. Instead of creating unique videos from scratch, the system copies proven template structures and fills them with business-specific content generated by AI models, dramatically reducing production time while maintaining customization.
3Productivity
If AI-based content generation is used, then productivity and consistency are improved, but manufacturing precision and control over creative quality may worsen
Solution Approach 1:
The system incorporates feedback mechanisms where generated content (text, images, audio) is evaluated against quality criteria and business requirements. The AI models receive feedback signals that guide refinement of generated content, ensuring it meets specified standards for relevance, accuracy, and quality before being assembled into final advertisements.
Solution Approach 2:
The system controls AI-generated content quality by adjusting and optimizing parameters of the AI models such as temperature, top-k sampling, and other generation controls. By carefully tuning these parameters, the system balances creativity with precision, ensuring consistent quality output while maintaining high productivity across different content types.
Data Source
AI summary
System, apparatus, article of manufacture, method and/or computer program embodiments are provided for generating synthetic video advertisements. An example method can include obtaining input data that includes one or more business attributes associated with a business; choosing, based on the one or more business attributes, a video advertisement template that includes a plurality of modular elements; producing, based on the one or more business attributes, textual content and image content for promoting the business; generating, based on the textual content, at least one audio track that is associated with one or more of the plurality of modular elements in the video advertisement template; and assembling a synthetic video advertisement by populating the plurality of modular elements in the video advertisement template with the at least one audio track and the image content.