Digital Image Editing Anchor Point Conflict Resolution
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional digital image editing systems face challenges in accurately aligning and spacing objects due to the increasing complexity of digital images, leading to conflicts among anchor points that hinder the editing process.
Innovation Solution
The system infers user intent by prioritizing anchor points based on the location of a selection input relative to the object's aspects, such as sides and center, to resolve conflicts and improve alignment operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple anchor points qualify for location operations simultaneously, then alignment functionality is provided, but conflict among anchor points hinders the editing process
Solution Approach 1:
The patent applies local quality by assigning different priority levels to different anchor points based on their spatial relationship to the selection input. The anchor point closest to the selection input receives highest priority, while others receive lower priorities. This differential treatment resolves conflicts by selectively activating only the highest-priority anchor point for location operations, eliminating the hindering effect of multiple simultaneous qualifications while preserving alignment functionality.
2Manufacturing precision
If conventional alignment techniques are used, then basic alignment is achieved, but accuracy is limited due to increasing digital content complexity
Solution Approach 1:
The patent changes the parameter of anchor point selection from a binary qualified/not-qualified state to a prioritized state with multiple levels. By introducing priority values based on distance metrics and spatial relationships, the system can selectively apply location operations to specific anchor points even in complex digital content with many objects. This parameter transformation maintains alignment accuracy while scaling to handle increasing digital content complexity.
3Adaptability or versatility
If all qualifying anchor points are processed, then comprehensive alignment is provided, but computation resource consumption increases
Solution Approach 1:
The patent extracts and processes only the essential anchor point information needed for alignment by assigning priorities and selecting only the highest-priority anchor points for location operations. Instead of processing all qualifying anchor points equally, the system extracts the most relevant ones based on their proximity to the selection input, thereby reducing computation resource consumption while maintaining comprehensive alignment coverage for the user's intended target.
Data Source
AI summary
Location operation conflict resolution techniques are described. In these techniques, a likely user's intent is inferred by a digital image editing system to prioritize anchor points that are to be a subject of a location operation. In an example in which multiple anchor points qualify for location operations at a same time, these techniques are usable to resolve conflicts between the anchor points based on an assigned priority. In an implementation, the priority is based on selection input location with respect to an object.