Composite Image Cropping for Social Media Object Identification
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Social media users face challenges in identifying and accessing specific objects within images shared on platforms, as notifications often lack visual context, requiring users to investigate further to understand the content of images they have been tagged in.
Innovation Solution
A system and method for generating composite images that intelligently crop identified objects from source images, allowing users to select and link to the original image with highlighted objects, providing immediate visual context through notifications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If users receive notifications with full-size source images, then visual context is provided, but users cannot quickly identify specific objects within the image
Solution Approach 1:
The system segments the full-size source image into multiple cropped images, each focusing on a specific identified object. When a user receives a notification, they see a composite of these cropped images rather than the entire large image. Each cropped image can be independently selected, allowing users to quickly identify and access specific objects without overwhelming visual information.
2Productivity
If users are tagged in photos on social media, then they receive notifications, but they have no immediate indication of the photo contents without further investigation
Solution Approach 1:
The system performs preliminary actions by automatically generating cropped images of identified objects from the source image before sending the notification. These cropped images are prepared in advance and included with the notification, so when the user receives it, the photo contents are already visually represented without requiring the user to perform any investigation or access the full image first.
3Ease of operation
If composite images with cropped objects are generated, then users can quickly identify specific objects, but the system complexity increases
Solution Approach 1:
The system implements self-service by automatically identifying objects in the source image, generating appropriate cropped images, and creating the composite notification image without requiring manual intervention. The system autonomously handles the entire process from receiving the source image to delivering the notification with visually contextualized cropped objects, reducing the need for complex manual processing while maintaining ease of use for end users.
Data Source
AI summary
Methods and systems that provide for cross-linking from composite images that include receiving, over a computer network, a source image and then associating a first identifier tag with a first object in the source image. A composite image is generated from the source image, wherein the composite image includes a cropped image of the first object. Then a first user is notified that the first identifier tag is associated with the first object in the cropped image and also includes a copy of the composite image. Additionally, the user can select the first object in the composite image and be linked to the source image that contains the selected first object where the first object is highlighted.