Intelligent Image Cropping for Tagged Content Identification
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Solution Overview
Problem
In social media settings, users are often notified when they are tagged in images without immediate visibility into the content of the image, leading to confusion and the need for further investigation to understand the context.
Innovation Solution
A system and method for intelligently cropping images based on multiple factors such as the status of objects in the image, including the owner, poster, tagger, taggee, and resolution, to generate and notify users with a cropped image that includes the relevant object or objects, ensuring quick identification of the tagged content.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the full source image is provided in notifications, then users can see all content, but the notification becomes cluttered and users cannot quickly identify tagged content
Solution Approach 1:
The patent segments the full source image into multiple cropped regions, each highlighting different objects or areas. The notification displays only the relevant cropped portion containing the tagged object, while the full image remains accessible through a link. This segmentation allows users to quickly identify tagged content without being overwhelmed by the entire image.
Solution Approach 2:
The patent extracts the relevant portion of the image (the cropped region containing the tagged object) from the full source image and displays it in the notification. This extraction separates the essential information (tagged content) from the redundant information (other parts of the image), enabling quick identification while preserving context through the link to the full image.
2Loss of information
If multiple cropped images are displayed in notifications, then users can see all tagged objects, but the notification becomes complex and harder to process
Solution Approach 1:
The patent segments the notification into distinct components: a simplified display showing only the most relevant cropped image, and a separate link to view additional cropped images or the full source image. This segmentation maintains completeness of information while simplifying the notification structure for easier processing.
Solution Approach 2:
The patent applies partial action by displaying only the most relevant cropped image in the notification summary, rather than all possible cropped images. The link provides access to additional images if needed, avoiding information overload while maintaining completeness through on-demand access.
3Loss of information
If the system provides detailed image analysis, then users understand context better, but processing time increases
Solution Approach 1:
The patent performs image analysis and cropping operations in advance, before the notification is sent. The system pre-processes the source image to identify tagged objects and generate cropped regions, so that when the notification is displayed, the processed images are already ready. This preliminary action reduces processing time at the moment of notification while maintaining detailed context understanding.
Data Source
AI summary
Methods and systems for intelligently cropping images, including receiving, over a computer network, a source image, and then associating a first identifier tag with a first object in the source image. A cropped image is generated from the source image wherein the cropping is based on the first object. The system and method then notifying a first user that the first identifier tag is associated with the first object in the cropped image, wherein the notification includes the cropped image.