3D Image Environment Spatial Organization and Navigation
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Solution Overview
Problem
Current methods for managing and sharing large collections of digital photographs are inefficient, as they often result in cluttered and difficult-to-navigate 3D environments, and existing techniques for image sorting and sharing fail to provide a satisfactory user experience.
Innovation Solution
The development of applications that generate 3D environments from 2D images, allowing users to navigate and rank images based on spatial relationships, user viewing patterns, and spatial density, with the ability to create structured documents and links to additional content, facilitating collaborative editing and immersive experiences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If a large number of images are included in a 3D environment, then the completeness of the image collection is improved, but the environment becomes cluttered and difficult to navigate
Solution Approach 1:
The patent divides the large collection of images into multiple groups or subsets, each forming a separate 3D environment or scene. Users can navigate between these segmented environments, which reduces clutter within each individual space while maintaining access to the complete image collection across the entire system.
Solution Approach 2:
The patent introduces hierarchical navigation dimensions, allowing users to move between different levels of organization (e.g., from individual images to groups to entire collections). This multi-dimensional approach enables efficient navigation of large image sets without increasing clutter at any single level.
2Ease of manufacture
If images are organized using traditional keyword tagging, then the simplicity of implementation is improved, but the user experience and immersion are insufficient
Solution Approach 1:
The patent transitions from traditional two-dimensional keyword-based organization to three-dimensional spatial organization. Images are positioned in 3D space based on their geographic or contextual relationships, creating an immersive environment that provides both visual engagement and intuitive navigation, while building upon existing tagging systems.
Solution Approach 2:
The patent introduces a 3D spatial framework as an intermediary layer between simple keyword tags and the user experience. This framework translates flat keyword data into immersive three-dimensional environments, enhancing user engagement without requiring complete redesign of the underlying organization system.
3Ease of operation
If a detailed 3D environment is created from 2D images, then the immersive experience is improved, but the file size and sharing difficulty increase
Solution Approach 1:
The patent creates lightweight reference copies or pointers to the original high-resolution images rather than embedding full-resolution copies in the 3D environment. The 3D structure stores spatial relationships and metadata, while actual image data remains in original locations, enabling fast loading and easy sharing without sacrificing visual quality.
Solution Approach 2:
The patent extracts only the essential spatial and organizational data needed for the 3D environment structure, separating this from the full image files. This allows the 3D framework to be shared and navigated independently, with images loaded on-demand, reducing the initial file size while maintaining immersive capabilities.
Data Source
AI summary
Images are analyzed within a 3D environment that is generated based on spatial relationships of the images and that allows users to experience the images in the 3D environment. Image analysis may include ranking images based on user viewing information, such as the number of users who have viewed an image and how long an image was viewed. Image analysis may further include analyzing the spatial density of images within a 3D environment to determine points of user interest.


