Image Annotation Layering for Overlapping Region Recognition
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing image processing systems struggle to intuitively recognize the association between regions in an image and their corresponding annotation information, especially when a large amount of region annotation information is present or when regions overlap.
Innovation Solution
An image output apparatus that superimposes region annotation information based on depth, prioritizing regions closer to the front with smaller depths over those farther away, using techniques such as varying frame thickness, color, and brightness to distinguish between annotation layers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If all pieces of region annotation information are uniformly superimposed on the image, then the complete annotation information is displayed, but it becomes difficult to intuitively recognize the association between regions and annotation information when regions overlap or when there is a large amount of annotation information
Solution Approach 1:
The patent introduces a depth dimension to the superimposition of region annotation information. Instead of uniform superimposition on a single plane, annotations are arranged at different depths based on the depth information of the regions they describe. This creates a layered structure where closer regions appear in front of farther regions, enabling intuitive recognition of associations while maintaining complete annotation information.
Solution Approach 2:
The patent applies different superimposition characteristics to different region annotation information based on their depth properties. Regions with smaller depth values (closer to the camera) are superimposed with different properties than regions with larger depth values. This local differentiation in superimposition quality allows the system to maintain information completeness while improving recognizability through depth-based differentiation.
2Device complexity
If region annotation information is superimposed without depth-based differentiation, then the display is simple, but the association between regions and annotations cannot be intuitively recognized when regions overlap
Solution Approach 1:
The patent adds a depth dimension to the traditional two-dimensional superimposition plane. By utilizing depth information from the image data, the system creates a three-dimensional arrangement of annotations where spatial relationships are preserved. This dimensional extension increases processing complexity slightly but dramatically improves the intuitiveness of region-annotation association recognition.
Solution Approach 2:
The patent uses depth information as an intermediary element to mediate between the region annotations and the viewer's perception. The depth values serve as a mediator that organizes annotations in a logical spatial sequence, making it easier to associate annotations with their corresponding regions even when regions overlap in the two-dimensional image plane.
3Quantity of substance
If multiple pieces of region annotation information are superimposed, then comprehensive information is provided, but regions with overlapping annotations become difficult to distinguish
Solution Approach 1:
The patent resolves the overlap problem by moving from a two-dimensional superimposition to a three-dimensional arrangement based on depth information. Annotations are positioned at different depths corresponding to their associated regions, creating vertical separation in addition to horizontal positioning. This dimensional expansion allows multiple annotations to coexist without overlapping, maintaining comprehensive information while enabling clear distinction between regions.
Solution Approach 2:
The patent segments the annotation information into distinct depth layers based on the depth values of the regions they describe. By dividing annotations into separate depth layers, the system prevents overlap between annotations from different regions. This segmentation strategy allows the system to handle multiple pieces of annotation information comprehensively while maintaining clear distinguishability between overlapping regions.
Data Source
AI summary
An image output apparatus comprising an output control unit configured to output region annotation information including region information indicating a region included in an image and annotation information indicating information on the region, the region annotation information being superimposed on the image, wherein when a plurality of pieces of the region annotation information are superimposed on the image, the output control unit superimposes first region annotation information associated with a first region with a first depth closer to the front than second region annotation information associated with a second region with a second depth that has larger depth than the first depth.


