Image Annotation Threads with Relative Position Transfer
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Solution Overview
Problem
Existing collaborative content management systems lack the ability to create and manage comments that are specifically linked to portions of images, providing insufficient granularity and control for users attempting to annotate images.
Innovation Solution
A collaborative content management system that allows users to create and manage comment threads associated with specific portions of images by selecting those portions, storing their coordinates, and enabling these threads to be transferred and correctly positioned across different images, including replacement images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If comments are linked to the entire image, then the annotation coverage is complete, but the annotation precision is insufficient
Solution Approach 1:
The patent segments the image annotation system by introducing portion identifiers that divide the image into annotatable portions. Instead of treating the entire image as a single annotation target, the system creates discrete portion references that can be individually commented on, thereby achieving precise location-specific annotations while maintaining manageable system complexity through structured data organization.
Solution Approach 2:
The patent applies local quality by enabling different annotation properties and comment threads for different portions of the same image. Each portion can have its own set of comments, coordinates, and metadata, allowing users to annotate specific regions with appropriate granularity while the overall system remains unified through the common image reference structure.
2Adaptability or versatility
If image-specific coordinates are used for comment positioning, then the comment location accuracy is high, but the adaptability to replacement images is poor
Solution Approach 1:
The patent implements universality by designing a coordinate system and portion identification structure that works across multiple images. The portion identifiers and relative coordinate approach allow the same comment thread structure to be applied to replacement images, enabling the system to handle both precise positioning and image substitution scenarios with a unified mechanism.
Solution Approach 2:
The patent applies parameter changes by allowing the coordinate reference frame to adapt when images are replaced. Instead of using fixed absolute coordinates tied to a specific image, the system uses relative positioning parameters that can be recalculated or adjusted when the underlying image changes, thereby maintaining both precision and adaptability through dynamic parameter adjustment.
3Loss of information
If detailed portion coordinates are stored for each comment, then the annotation granularity is fine, but the data storage requirement increases
Solution Approach 1:
The patent applies copying by storing portion identifiers and relative coordinate information rather than duplicating entire image data or excessive metadata. The system captures essential location information in a compact format that can be efficiently stored and retrieved, retaining the necessary annotation information while minimizing storage requirements through selective data capture.
Solution Approach 2:
The patent implements preliminary action by pre-defining portion identifiers and coordinate reference systems before annotations are made. This preparatory structuring allows comments to reference pre-established portions using efficient identifiers rather than storing complete coordinate sets for each annotation, reducing data storage requirements while maintaining information integrity through the pre-organized framework.
Data Source
AI summary
A collaborative content management system enables users to selectively create threads and comments linked to specific portions of an image. An image comment may be indicated by a tag displayed at the location based on the specific portion of the image and having an identifier of the thread. Tags for image comments may be clustered together. When an image having image comments is replaced by a replacement image, the tags from the image may be transferred from the image to the replacement image and displayed at the same relative positions in the replacement image as positioned in the original image.