학술논문

THEMIS: Context-Sensitive Similarity Analysis for Wound Imagery Using Mathematical Model of Meaning
Document Type
Conference
Source
2021 International Conference on Cyberworlds (CW) CW Cyberworlds (CW), 2021 International Conference on. :129-132 Sep, 2021
Subject
Computing and Processing
Visualization
Shape
Image color analysis
Forensics
Weapons
Semantics
Wounds
computational forensics
content-based image retrieval
semantic computing
similarity search
Language
ISSN
2642-3596
Abstract
Even when generated with the same weapon, a wound's appearance would be affected by its use and the assaulter's physique. In contrast, even if wounds look similar in shape and/or color, they could have a different wounding history. In this work, we strive to extract the features of shape and color from a given wound image and build on the mathematical model of meaning to create the associated semantics of the criminal act. We demonstrate that a system called THEMIS (theoretical estimation of the meaning of insults) provides a context-sensitive visual similarity analysis for wound imagery in computational forensics. The THEMIS system can help forensic doctors and e-court stakeholders potentially determine important aspects of a case through a comparison with wounds of corpses in past cases, in a way that is not currently possible.