Non-destructive collaborative image editing via lightweight renditions
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Solution Overview
Problem
Current solutions fail to provide efficient consolidation, management, and unified viewing of photographs across multiple devices and platforms, as users often have large collections spread across various devices and network services, making it impractical to move all photos to a central repository and maintaining existing service usage.
Innovation Solution
A distributed collaborative environment where nodes can receive and finalize changes to images without replacing the original versions, generating lower-resolution renditions and transmitting textual data to apply edits, allowing non-destructive collaborative editing and browsing of images across devices without disrupting existing service usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If all photographs are moved to a centrally managed repository, then consolidated management and unified viewing are improved, but the effort and complexity increase significantly
Solution Approach 1:
The system segments the photo management function by keeping original images on their source devices while creating a separate, lightweight representation (rendition) for collaborative editing and viewing. This allows consolidated access without requiring physical migration of all image data to a central location.
Solution Approach 2:
Instead of moving original photographs to a central repository, the system creates a copy of the image data in a condensed format (rendition) that preserves essential visual information while reducing data size. This copy is stored and managed centrally, enabling unified viewing without duplicating the entire original collection.
2Productivity
If original images are replaced with edited versions, then editing efficiency is improved, but loss of original data occurs
Solution Approach 1:
The system implements dynamic versioning where multiple versions of an image can coexist. The original image remains intact while edited versions are generated as new renditions. Users can switch between versions dynamically, and the system automatically manages which version is current without deleting previous ones.
Solution Approach 2:
Before applying edits to the original image, the system first creates a rendition (pre-processing step) that serves as a workspace for collaborative editing. This preliminary creation of a separate editing version allows modifications to be made without immediately affecting the original, preserving it for reference or future use.
3Manufacturing precision
If high-resolution images are transmitted for collaborative editing, then editing quality is improved, but network resource consumption increases
Solution Approach 1:
The system applies different quality levels to different parts of the image data. The rendition is generated at a lower resolution for efficient network transmission and collaborative editing, while the original high-resolution image is maintained locally on source devices. Quality is optimized where needed without unnecessary data transfer.
Solution Approach 2:
The system changes the resolution parameter of the image data when creating renditions for collaborative editing. By reducing the resolution parameter for transmitted data while maintaining high resolution for local storage, the system optimizes network bandwidth usage without sacrificing the ability to perform quality editing when needed.
4Productivity
If real-time collaborative editing is enabled, then productivity is improved, but network bandwidth requirements increase
Solution Approach 1:
The system extracts only the essential information needed for collaborative editing from the full-resolution original images and encodes it in the rendition. This extracted data contains sufficient visual information for editing operations while being significantly smaller in size, enabling real-time collaboration with minimal network bandwidth requirements.
Data Source
AI summary
Non-destructive collaborative editing may include a node among a plurality of nodes in a distributed collaborative environment receiving an input indicating a change regarding a displayed image. The node may receive another input to finalize the change. In response to the other input, the node may generate a rendition that reflects the change applied to the image without replacing an original version of the image. The rendition may include a thumbnail and a rendered preview of an adjusted version of the image based on the change. In one embodiment, textual information that describes a change regarding an image of a plurality of images may be received from a node of a plurality of nodes in a distributed collaborative environment. The textual information may be stored. Application of the textual information to an image may result in a modified version of the image in addition to the original version.