TY - GEN
T1 - THEMIS
T2 - 2021 International Conference on Cyberworlds, CW 2021
AU - Asayama, Yume
AU - Wang, Baoqing
AU - Nakayama, Masanori
AU - Shohjoh, Hideki
AU - Adachi, Noboru
AU - Kiyoki, Yasushi
AU - Fujishiro, Issei
N1 - Funding Information:
ACKNOWLEDGMENTS This work is supported in part by JSPS KAKENHI under Grants-in-Aid for Scientific Research (A) No. 26240015, No. 17H00737, and No. 21H04916.
Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - 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.
AB - 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.
KW - computational forensics
KW - content-based image retrieval
KW - semantic computing
KW - similarity search
UR - http://www.scopus.com/inward/record.url?scp=85123352125&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85123352125&partnerID=8YFLogxK
U2 - 10.1109/CW52790.2021.00028
DO - 10.1109/CW52790.2021.00028
M3 - Conference contribution
AN - SCOPUS:85123352125
T3 - Proceedings - 2021 International Conference on Cyberworlds, CW 2021
SP - 129
EP - 132
BT - Proceedings - 2021 International Conference on Cyberworlds, CW 2021
A2 - Sourin, Alexei
A2 - Rosenberger, Christophe
A2 - Sourina, Olga
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 28 September 2021 through 30 September 2021
ER -
