Personalized Moving Image Style Selection for Advertising
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Solution Overview
Problem
Existing methods for creating slide shows for advertisements are limited by preset rules, resulting in suboptimal content for users and reduced advertising effectiveness.
Innovation Solution
An information processing apparatus that sets multiple styles for moving image composition, acquires user attributes, estimates the most suitable style based on user attributes and image content, and provides personalized moving images to enhance advertising impact.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If a slide show is created based on a predetermined rule, then the creation process is simple and automated, but the advertisement content is not optimized for the user and the advertising effect cannot be enhanced
Solution Approach 1:
The system performs preliminary actions by pre-collecting user attribute information and pre-establishing multiple style templates for moving image composition. These preparations enable later automated selection and generation of personalized advertisements without requiring real-time complex processing
Solution Approach 2:
The system dynamically adapts the moving image composition by selecting different styles based on user attributes. The advertisement content is not fixed but dynamically adjusted to match the target user's characteristics, achieving both automation and personalization
2Adaptability or versatility
If multiple styles are set for moving image composition to personalize content, then the advertising effect is enhanced, but the system complexity increases
Solution Approach 1:
The system segments the advertisement creation process into distinct components: user attribute acquisition, style selection based on attributes, and moving image generation. Multiple styles are defined as separate composition templates, each with specific image content arrangements, making the complex system manageable through modular design
Solution Approach 2:
The system manages complexity by changing parameters rather than restructuring the entire system. Different styles are defined by varying parameters such as image content selection, composition layout, and playback sequence, allowing personalization through parameter adjustment rather than system redesign
Data Source
AI summary
An information processing apparatus (10): sets a plurality of styles that each indicate a moving-image composition of a moving image which relates to a predetermined item and in which a plurality of pieces of image content corresponding to the predetermined item are used; acquires an attribute of a target user; estimates the most-suitable style for the target user among the plurality of styles based on the plurality of pieces of image content and the attribute of the target user; and provides a moving image that is in accordance with the estimated style to the user.


