Visual Constraint Guides for Digital Design Object Transformation
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Solution Overview
Problem
Conventional content management systems face challenges in accuracy, efficiency, and flexibility when transforming digital design objects, requiring excessive user interactions and leading to inaccurate modifications and limited transformation capabilities.
Innovation Solution
The use of visual constraint guides, such as magnetic guides, to define and modify design constraints across multiple digital objects with minimal user input, enabling complex transformations like rotation, scaling, and shape modification while maintaining alignment and distribution constraints.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional content management systems transform digital objects individually based on user input, then user interaction control is maintained, but excessive user interactions are required and transformation accuracy deteriorates
Solution Approach 1:
The patent introduces visual constraint guides as intermediary elements that automatically establish transformation constraints between digital objects. These guides act as mediators that define alignment, distribution, and spacing rules, allowing the system to automatically determine transformation parameters without requiring multiple manual user inputs for each object transformation.
Solution Approach 2:
The system performs preliminary actions by pre-defining constraint rules and visual guides before transformations occur. The visual constraint guides are established in advance to specify how objects should be transformed relative to each other, so when a transformation is initiated, the system can automatically apply these pre-established constraints to achieve accurate multi-object transformations with minimal user interaction.
2Productivity
If conventional systems transform digital objects individually, then precise control over each object is achieved, but transformation efficiency and flexibility deteriorate
Solution Approach 1:
The visual constraint guide system provides universal transformation capabilities that can simultaneously apply to multiple digital objects with different types and arrangements. A single visual constraint guide can enforce alignment, distribution, and spacing constraints across various object types, making the transformation system both efficient for batch operations and flexible enough to adapt to diverse design scenarios without requiring separate tools for each case.
Solution Approach 2:
The system implements dynamic transformation constraints where visual constraint guides can be created, modified, and applied flexibly during the design process. The constraints are not rigid but can be adjusted to accommodate different transformation needs, allowing the system to efficiently handle both simple and complex transformation scenarios while maintaining adaptability to changing design requirements.
3Adaptability or versatility
If conventional systems provide basic transformation tools, then system simplicity is maintained, but transformation capability and design constraint management deteriorate
Solution Approach 1:
The visual constraint guide system enables self-service transformation management where the system automatically calculates and applies transformation parameters based on the established visual constraints. Once guides are created, they autonomously enforce alignment, distribution, and spacing rules during transformations, reducing the need for complex manual configuration and tool management while providing advanced transformation capabilities.
Solution Approach 2:
The patent replaces complex mechanical transformation tools with a constraint-based visual guide system. Instead of requiring users to manually manipulate multiple objects through complex tool sequences, the system uses visual constraint guides to automatically establish and enforce transformation relationships, substituting manual mechanical operations with automated constraint-based control that provides enhanced capability without proportional increases in system complexity.
Data Source
AI summary
The present disclosure relates to systems, non-transitory computer-readable media, and methods for utilizing visual constraint guides to automatically transform digital design objects within a digital document based on transformation of intersecting visual constraint guides. In particular, in one or more embodiments, the disclosed systems generate visual constraint guides and identifies digital design objects intersecting the visual constraint guides. Further, the disclosed systems can receive user input transforming the visual constraint guide. In response, the disclosed systems can transform both the visual constraint guide and associated digital design objects based on the received transformation. More specifically, the design guide system can transform the digital design objects relative to the visual constraint guide while maintaining distribution and alignment constraints of the digital design objects relative to the visual constraint guide.