VR Scene Generation from Text via Portal Navigation
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Solution Overview
Problem
Existing techniques for generating virtual reality (VR) scenes from textual content face challenges such as difficulty in storing and transferring large supplemental visual content segments, limited user control over navigation and pacing within VR scenes, and inability to selectively view visual content corresponding to specific portions of the content.
Innovation Solution
A system that parses textual content to identify separate scenes, generates VR scenes based on identified nouns and verbs, and allows users to navigate between scenes at their own pace using portals, thereby reducing resource requirements and enhancing user control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If the entire text is used to generate a supplemental visual content segment, then the visual content corresponds to the complete story, but it becomes difficult to store or transfer the supplemental visual content due to storage or network limitations
Solution Approach 1:
The patent divides the supplemental visual content into multiple segments, each corresponding to a specific scene identified from the text. Instead of generating one large visual segment for the entire text, the system parses the text into discrete scenes and generates individual visual segments for each scene, reducing storage and transfer requirements while maintaining access to complete story content.
Solution Approach 2:
The patent extracts only the necessary visual content for specific scenes rather than generating visual content for the entire text. By identifying and extracting key scenes from the text and generating visual segments only for those scenes, the system reduces overall storage requirements while preserving the essential narrative elements.
2Ease of operation
If visual content is tied to the text on a page, then the visual content corresponds to the current reading position, but the user cannot navigate different scenes at their own pace or simultaneously view visual content from different pages
Solution Approach 1:
The patent segments the visual content into scene-based units that are independent of page boundaries. Each visual segment corresponds to a identified scene from the text, allowing users to navigate between scenes freely without being constrained by the linear page structure. This enables pace control and simultaneous viewing of multiple scenes.
Solution Approach 2:
The patent introduces a new navigation dimension beyond linear page progression. Instead of being confined to sequential page-by-page navigation, users can jump between different scene segments in any order, access scene lists, and navigate through the content in non-linear paths, adding temporal and spatial flexibility to the reading experience.
3Loss of information
If the entire text is converted to a single visual segment, then all content is available, but it is difficult for users to explore all details at their own pace
Solution Approach 1:
The patent divides the visual content into manageable scene segments, allowing users to explore each scene at their own pace without being overwhelmed by a single large continuous segment. Users can spend as much time as needed on each scene while knowing they can easily move to the next scene when ready.
Solution Approach 2:
The patent allows users to view only the scenes they are interested in or need to review, rather than requiring them to progress through all scenes sequentially. Users can selectively explore specific scenes multiple times or skip scenes they have already mastered, reducing unnecessary time investment.
4Quantity of substance
If visual content is generated for each page, then the content is manageable in size, but users cannot view visual content corresponding to multiple pages or select specific portions of interest
Solution Approach 1:
The patent segments visual content by scene rather than by page, creating a higher-level organizational structure that spans multiple pages. Each scene segment can encompass content from multiple pages, reducing the total number of visual segments while maintaining storage efficiency. Users can then select and view specific scene segments based on their interest.
Solution Approach 2:
The patent merges content from multiple pages into unified scene segments when those pages belong to the same scene. By combining visual content across page boundaries while maintaining scene coherence, the system reduces the total volume of visual content while preserving all necessary information and enabling flexible selection.
Data Source
AI summary
Systems and methods are disclosed herein for generating virtual reality scenes from a textual document. The textual document is parsed to identify a plurality of text portions corresponding to a plurality of scenes. Each of the plurality of text portions is analyzed to identify a plurality of nouns and a plurality of related verbs. A virtual reality (VR) scene including a plurality of VR objects depicted as performing a set of actions is generated for each of the plurality of text portions, based on the nouns and related verbs identified in the corresponding text portion. Each VR scene includes at least one portal which a user may interact with to view another VR scene and the set of actions in a VR scene may be repeated while the VR scene is being viewed.