MIRACLE: An Online, Explainable Multimodal Interactive Concept Learning System

We present MIRACLE, a system for online, interpretable visual concept and video action recognition. Through a chat interface, users query the recognition system with an uploaded image or video. For images, MIRACLE returns concept predictions from its structured knowledge base, justifying its predictions with heatmaps and natural language-based attribute detections. For videos, MIRACLE predicts an action and justifies its prediction with time varying entity-entity relations. With its ability to learn new concepts in an online, few-shot manner and its support of dynamic changes to its knowledge base, MIRACLE represents a step forward in interpretable multimodal learning systems.

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Publication Details

Published
2024-10-26
DOI
https://doi.org/10.1145/3664647.3684993
Citations
1
Primary Topic
Multimodal Machine Learning Applications
Type
article
Field-Weighted Citation Impact
0.25
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MIRACLE: An Online, Explainable Multimodal Interactive Concept Learning System

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article en
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Abstract

We present MIRACLE, a system for online, interpretable visual concept and video action recognition. Through a chat interface, users query the recognition system with an uploaded image or video. For images, MIRACLE returns concept predictions from its structured knowledge base, justifying its predictions with heatmaps and natural language-based attribute detections. For videos, MIRACLE predicts an action and justifies its prediction with time varying entity-entity relations. With its ability to learn new concepts in an online, few-shot manner and its support of dynamic changes to its knowledge base, MIRACLE represents a step forward in interpretable multimodal learning systems.

University of North Carolina at Chapel Hill (US), University of North Carolina Health Care (US), Urbana University (US), UCLA Health (US), Columbia University (US)
Openalex Percentile: Top 45%
Multimodal Machine Learning Applications
0.25
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