Multi-depth image generation using nested tree structure
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Solution Overview
Problem
Existing methods fail to intuitively generate and view multi-depth images that effectively represent the relationship between objects, making it difficult for users to navigate and access detailed information within large datasets of content.
Innovation Solution
A method for configuring objects in a multi-depth tree structure, allowing objects to be inserted into each other in two modes: one with a specific position and one without, using node and coordinate attributes to define relationships and positions, enabling intuitive image manipulation and viewing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If a vast amount of content is scattered sporadically, then the quantity of content is large, but it is difficult to easily find and check contents that are highly related to each other
Solution Approach 1:
The patent implements a multi-depth image structure where images are nested within each other in a tree hierarchy. Each image can contain other images as sub-images, creating a nested structure that organizes vast amounts of content in a compact, hierarchical manner. This allows users to access related content by navigating through nested levels rather than searching through scattered content.
Solution Approach 2:
The patent introduces a depth dimension to the traditional two-dimensional image structure by creating a multi-depth tree hierarchy. This adds a third dimension (depth/layer) to organize content, transforming the flat scattered content structure into a hierarchical three-dimensional structure that enables easier navigation and relationship discovery.
2Loss of information
If detailed information on a specific part of an image file is requested, then the information completeness is improved, but there is a hassle for the user to find new related images
Solution Approach 1:
The patent pre-organizes detailed information about specific parts of images by embedding sub-images within the main image structure beforehand. When a user requests detailed information about a specific part, the related sub-image is already positioned and ready for immediate access, eliminating the need for users to search for related images separately.
Solution Approach 2:
The patent introduces markers as intermediary elements that facilitate access to detailed information. These markers are embedded within images and serve as mediators between the main image and sub-images. Users can interact with markers to access detailed information about specific parts, providing an intuitive pathway to related content without requiring users to manually search for new images.
3Ease of operation
If a multi-depth image structure is implemented, then the ease of viewing detailed information is improved, but the device complexity increases
Solution Approach 1:
The patent segments the complex multi-depth image structure into manageable components: main images, sub-images, and markers. Each component has a specific function and can be processed independently. This segmentation reduces the perceived complexity by breaking down the overall system into simpler, more manageable parts that can be handled separately.
Solution Approach 2:
The patent uses markers as simplified copies or representations of the complex nested image relationships. Instead of requiring users to understand the full multi-depth structure, markers provide a simplified interface that copies the essential navigation function, allowing users to access detailed information without needing to comprehend the underlying structural complexity.
Data Source
AI summary
A method for configuring a plurality of objects in a multi-depth tree structure is disclosed. The method comprises: upon receiving a first user command including a node attribute for connecting a first object and a second object and a coordinate attribute for representing a position in the first object, associating the second object with the first object in a first mode; upon receiving a second user command including the node attribute without the coordinate attribute in the first object, associating the second object with the first object in a second mode. In the first mode the second object is inserted at the position indicated by the coordinate attribute within the first object, and in the second mode the second object is inserted into the first object with specifying no position within the first object.