Image-Filter Interface for Spatial Navigation and Filter Blending
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing image filtering interfaces are cumbersome, difficult to navigate, and lack intuitive ways to compare and seamlessly transition between filters, often constraining users to predefined options without allowing for blending or customization.
Innovation Solution
An improved interface that applies a set of image filters to an initial image, generates a similarity metric for each pair of images, determines their placement in an image-filter space using a spring-force model, and provides a selectable interface where users can blend filters for customized filtering.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If users are provided with multiple predefined image filters, then the versatility of image filtering is improved, but the complexity of navigating and comparing filters increases
Solution Approach 1:
The patent transitions from traditional linear filter selection to a two-dimensional color space interface where filters are positioned based on their color characteristics. This dimensional reorganization allows users to navigate filters spatially by color properties rather than scrolling through lists, reducing navigation complexity while maintaining filter variety.
Solution Approach 2:
The interface uses color as the primary organizational dimension, mapping filters to positions in a color space based on their color characteristics. This allows users to intuitively locate and compare filters with similar color properties, making the interface more manageable despite having many filters available.
2Adaptability or versatility
If users can explore the entire space of image filters, then the adaptability of filtering options is improved, but the time required to make a selection increases
Solution Approach 1:
Filters are pre-organized in the color space interface based on their color characteristics before user interaction. This preliminary spatial arrangement allows users to immediately locate filters with desired color properties without sequential exploration, significantly reducing selection time while maintaining access to the full filter space.
Solution Approach 2:
By organizing filters according to color properties in a two-dimensional space, users can quickly navigate to regions containing filters with similar color characteristics. This color-based organization enables efficient visual scanning and selection, reducing the time needed to explore and choose from diverse filter options.
3Ease of operation
If predefined filters are displayed in a constrained interface, then the ease of operation is improved, but the ability to blend and customize filters is limited
Solution Approach 1:
The color space interface serves multiple functions simultaneously: it displays predefined filters for easy selection and enables custom filter creation through blending operations. Users can interact with the continuous color space to generate unique filters by combining properties of existing filters, thus achieving both operational simplicity and customization versatility within a single interface.
Solution Approach 2:
The interface transitions from static predefined filter selection to dynamic filter blending. Users can manipulate positions within the color space to create custom filters on-the-fly, allowing the system to adapt between providing simple predefined options and enabling sophisticated customization based on user needs.
4Ease of operation
If similar filters are grouped together in the interface, then the ease of operation is improved, but the device complexity increases due to similarity metric calculations
Solution Approach 1:
The patent uses color properties as the basis for grouping similar filters, organizing them in a two-dimensional color space where filters with similar color characteristics are positioned near each other. This color-based grouping provides intuitive navigation while the computational complexity is managed by focusing calculations on color metrics rather than comprehensive image analysis.
Data Source
AI summary
In one embodiment, a method includes accessing an initial image and applying each image filter from a set of one or more N image filters to the initial image to create N filtered images. The method further includes generating a similarity metric for each pair of images in a set of images comprising the initial image and the N filtered images and determining, based on the similarity metrics, a placement of each image in the set of images within an image-filter space. The method further includes generating, based on the image-filter space, a selectable image-filter interface; and providing the selectable image-filter interface for display, wherein each selectable region of the selectable image-filter interface is associated with a particular filtering of the initial image.