Auxiliary Image Area Identification Using Focus Indicators
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Solution Overview
Problem
Existing image classification systems fail to identify and manage both primary and auxiliary areas of interest, leading to incomplete information for downstream consumers and inefficient resource allocation in storage.
Innovation Solution
A system that identifies both primary and auxiliary areas of interest in images by tracking the focus of subject matter experts during image exploration, segmenting images based on these areas, and storing segments in tiered storage based on their likelihood of future access.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If all image segments are stored in high-performance storage, then accessibility and responsiveness are improved, but storage costs and resource allocation efficiency deteriorate
Solution Approach 1:
The patent segments images into multiple image segments and further divides them into primary areas of interest, auxiliary areas of interest, and non-interest areas based on focus indicators. This segmentation enables differential storage strategies where different segments can be stored in appropriate storage tiers based on their access probability, resolving the contradiction between speed and resource allocation.
Solution Approach 2:
The patent applies local quality by assigning different storage quality levels to different image segments based on their importance and access likelihood. High-value segments (primary and auxiliary areas of interest) are stored in high-performance storage with fast access, while low-value segments (non-interest areas) are stored in lower-performance, cost-effective storage, optimizing both speed and resource allocation locally for each segment.
2Productivity
If only primary areas of interest are identified, then processing speed is improved, but information completeness for downstream consumers deteriorates
Solution Approach 1:
The patent performs preliminary action by identifying auxiliary areas of interest in advance during the image processing phase, before downstream consumers need the information. By proactively analyzing focus indicators and identifying auxiliary areas that may be relevant to multiple potential consumers, the system ensures information completeness is maintained while still processing faster than manual review would allow.
Solution Approach 2:
The patent introduces focus indicators as an intermediary mechanism that captures expert attention patterns during image exploration. These indicators serve as a mediator between the expert's cognitive process and the automated identification system, enabling the system to infer both primary and auxiliary areas of interest without requiring exhaustive manual annotation, thus maintaining information completeness while improving processing speed.
Data Source
AI summary
Methods and systems for identifying areas of interest in an image are disclosed. To manage identification of areas of interest in an image, a combination of automated and subject matter expert driven processes may be used to identify the areas of interest. Some areas of interest may be highly relevant for a user of an image and may be classified as primary areas of interest. The image and subsequent use of the image may be enhanced through the areas of interest by improving storage and downstream usability of the image.