Art Stream Command System for Visual Differencing Attribution
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Solution Overview
Problem
Current systems fail to provide visual differencing and attribution between versions of collaborative digital drawings, limiting the ability to track changes and contributions from artists, and cannot render alternative drawings using non-destructive changes.
Innovation Solution
An art stream command system that captures gestures, drawing state, and attribution information, allowing for the merging and communication of art stream commands to regenerate drawings with visual differencing and attribution, enabling non-destructive changes and collaborative editing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If traditional source control is used to track drawing versions, then version differences can be detected at the pixel level, but visual differencing with attribution and understanding of actual visual changes cannot be provided
Solution Approach 1:
The patent segments the drawing creation process into discrete atomic operations (gestures, brush strokes, tool commands) and attributes each to a specific user. This segmentation allows tracking of individual contributions without requiring complex pixel-level comparison systems, as each atomic operation is independently recorded with attribution metadata.
Solution Approach 2:
The patent introduces an intermediary art stream protocol that captures drawing operations in a structured format between the drawing application and source control. This intermediary layer translates complex visual changes into standardized atomic operations with attribution, simplifying the tracking mechanism while preserving detailed contribution information.
2Measurement precision
If pixel-level difference scanning is used to compare drawing versions, then version changes can be detected, but actual visual differences and their attribution cannot be provided
Solution Approach 1:
The patent creates simplified visual copies or representations of the atomic drawing operations that can be easily displayed and compared. Instead of showing complex pixel-level differences, the system generates visual representations of individual gestures and strokes with attribution, making it easy for users to understand who made what changes without analyzing raw pixel data.
3Adaptability or versatility
If collaborative drawing is enabled without non-destructive changes, then real-time collaboration is possible, but the ability to render alternative drawings and revert changes is lost
Solution Approach 1:
The patent records all drawing operations as atomic commands before they are permanently applied to the final drawing. This preliminary capture of operations in an art stream allows users to review, approve, or reject individual changes before they become permanent, enabling non-destructive collaboration where alternative versions can be rendered by selectively applying or discarding recorded atomic operations.
Data Source
AI summary
Art stream commands comprising gestures, drawing state, and attribution information are received from one or more clients participating in a collaboration session. The art stream commands enable the rendering of and provide source control for a visual document. Attribution for visual differences may be provided. Each of the one or more clients may rewind and play back the art stream commands to provide a detailed understanding of what was contributed by whom. All changes and image variations are non-destructive.