Edit Experience for Digital Image Transformation
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Solution Overview
Problem
Conventional image editing systems lack the ability to provide clear and reproducible explanations of how a digital image was manipulated, requiring significant human resources and system resources for manual walk-throughs, which is inefficient and burdensome.
Innovation Solution
An image editor system generates and outputs an 'edit experience' that recreates the image transformation process, allowing users to interact with a step-by-step explanation of edits made to a digital image, including hands-on and replay experiences, and saves edits as presets for similar images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If manual walk-through explanation is used to explain image editing process, then users can understand how the image was manipulated, but significant human resources and time are consumed
Solution Approach 1:
The system creates a digital copy of the editing process by capturing the sequence of editing operations and their parameters, then reproduces this process automatically through a replay mechanism. This eliminates the need for manual walk-through explanations while preserving complete information about how the image was manipulated.
Solution Approach 2:
The system performs preliminary capture and storage of editing process data as edits are made, organizing them into a structured format with timestamps and parameters. This preparation enables instant replay and explanation without requiring subsequent manual intervention.
2Loss of information
If manual walk-through explanation is used to explain image editing process, then editing process can be explained, but excessive system resources are consumed
Solution Approach 1:
The system makes the editing process explanation self-service by automatically capturing, storing, and replaying editing operations without requiring human operators. The system serves its own documentation needs by generating and managing the explanation data structure independently.
Solution Approach 2:
The system replaces the mechanical human interaction required for manual walk-through explanations with an automated digital replay mechanism. This substitution eliminates the need for human operators to physically guide users through editing steps, reducing system resource consumption.
3Ease of operation
If conventional image editing system is used, then image editing functionality is provided, but clear and reproducible explanations of editing process are lacking
Solution Approach 1:
The system implements feedback by automatically capturing editing operations and making them available for replay and explanation. This feedback loop ensures that complete information about the editing process is preserved and can be reproduced on demand, enhancing transparency without affecting editing functionality.
Solution Approach 2:
The system introduces an intermediary data structure that captures editing operations, parameters, and timestamps between the editing actions and their explanations. This intermediary layer enables comprehensive documentation and reproducible explanations while maintaining the original editing functionality.
4Loss of information
If manual explanation of editing process is performed, then editing steps can be communicated, but user workflow efficiency is reduced
Solution Approach 1:
The system creates a digital copy of the editing process that can be instantly reproduced and shared, eliminating the need for time-consuming manual explanations. This copy mechanism transmits complete editing process information efficiently, significantly improving user workflow productivity.
Data Source
AI summary
Techniques for edit experience for transformation of digital content are delivered in a digital medium environment. According to various implementations, an image editor system receives edits to a digital image to transform the digital image and generate an edited image. An edit experience is then generated that is presentable to recreate the image transformation process. The image editor system outputs the edit experience to enable a user to interact with the edit experience to reproduce the image transformation, such as via a step-by-step process. In at least some implementations, edits to a particular digital image are saved as presets that can be suggested for editing other images, such as images that are determined to be similar to an edited image.


