Adaptive Visual Content Generation Across Dimensions and Viewpoints
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Solution Overview
Problem
Existing technologies lack the ability to generate and deliver engaging visual content that adapts to user preferences and interactions, failing to provide immersive and dynamic visual experiences across various dimensions and viewpoints.
Innovation Solution
A visual content system that generates and distributes visual content items based on user requests, incorporating real-world and virtual objects, and allows for interaction, using machine learning to infer user interests and adapt content dimensions and viewpoints.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional visual content delivery methods are used, then content can be displayed to users, but the content cannot adapt to user preferences and interactions
Solution Approach 1:
The visual content system dynamically adapts content dimensions and viewpoints based on real-time user interactions and preferences. The system transitions from static content delivery to dynamic content generation, where visual objects can change their properties (dimensions, viewpoints) in response to user actions, making the content adaptable without requiring complete system redesign
Solution Approach 2:
The system changes key parameters of visual content (dimensions, viewpoints, orientation) based on user preferences and interactions. By modifying these parameters dynamically, the system achieves adaptability to different user needs while maintaining the same base content structure, avoiding the need to create entirely new content for each user
2Adaptability or versatility
If static visual content is displayed, then delivery is simple, but the content cannot provide immersive and dynamic visual experiences
Solution Approach 1:
The system enables transitions between different dimensional representations of visual content (2D to 3D, different spatial viewpoints). By adding dimensional flexibility to visual objects, the system creates immersive experiences while building upon existing 2D content foundations, gradually enhancing complexity rather than replacing simple delivery mechanisms
3Adaptability or versatility
If visual content adapts to user interactions in real-time, then user experience is enhanced, but computational resources and system complexity increase
Solution Approach 1:
The system pre-generates visual content in multiple dimensions and viewpoints before user interaction. When users interact with the content, the system simply selects and displays the pre-prepared appropriate version rather than generating new content in real-time, significantly reducing computational resource requirements while maintaining adaptability
Data Source
AI summary
A visual content item may be created to illustrate a visual scene. Dimensions of the visual scene may be determined. A dimension may be a spatial dimension or a temporal dimension. A viewpoint in the virtual scene may be determined. One or more visual objects may be generated. based on the request, dimensions of the visual scene, and the viewpoint. The visual content items may be generated building the visual scene with the one or more visual objects. The request may include a pre-generated visual content item (e.g., an image, video, etc.), and the visual content item may be created based on the pre-generated visual content item, e.g., by changing one or more dimensions or viewpoints associated with the pre-generated visual content item. The visual content item may be transmitted to a client device associated with a user, the client device to display the visual content item to the user.