Automatic Image Piling Ontology Classification
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Solution Overview
Problem
Organizing large collections of digital images into meaningful sub-collections is a daunting task due to the sheer number of images and limited display space, lacking an efficient method similar to physical image sorting.
Innovation Solution
A system for automatic image piling using a processor and ontology-based classification, where images are analyzed for attributes and hierarchically grouped into piles using features and relations, allowing for efficient display and organization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual sorting of digital images is performed, then images can be organized into meaningful sub-collections, but the task becomes daunting and time-consuming due to large image collections and limited display space
Solution Approach 1:
The system enables images to organize themselves automatically through computer vision algorithms that detect objects, attributes, and relationships within images. The computer selectively groups images into piles based on detected features without requiring manual intervention, allowing the system to serve itself in the organization task.
Solution Approach 2:
The patent replaces the mechanical manual sorting process with an automated computer vision system. Instead of human hands physically sorting images, the system uses image analysis algorithms to automatically detect objects, determine attributes, and organize images into meaningful piles based on detected relationships.
2Area of stationary object
If images are displayed individually, then each image can be viewed clearly, but limited display space cannot accommodate large collections efficiently
Solution Approach 1:
The system merges multiple similar images into single pile representations. Each pile groups images that share common detected objects or attributes, allowing multiple images to be accessed through a single display element. This combining approach maximizes display space while preserving access to the full image collection.
Solution Approach 2:
The patent introduces a hierarchical dimension to image display by organizing images into piles with multiple levels. The first level shows pile representations, and users can navigate into piles to view individual images, effectively adding a dimensional layer to the display system that expands capacity beyond the physical screen area.
Data Source
AI summary
Methods and systems for classifying images and adding images to piles include determining attributes of an image, classifying the image by determining a set of elements of a hierarchy of which the image is a member based at least in part on the attributes, and adding the image to one or more piles associated with the set of elements of the hierarchy of which the image is a member.