Developing automated methods to detect and match face and voice biometrics in child sexual abuse videos

Westlake, Bryce; Brewer, Russell; Swearingen, Thomas; Ross, Arun; Patterson, Stephen; Michalski, Dana; Hole, Martyn; Logos, Katie; Frank, Richard; Bright, David; Afana, Erin

Developing automated methods to detect and match face and voice biometrics in child sexual abuse videos

journal contribution

posted on 2022-03-01, 00:00 authored by Bryce Westlake, Russell Brewer, Thomas Swearingen, Arun Ross, Stephen Patterson, Dana Michalski, Martyn Hole, Katie Logos, Richard Frank, David BrightDavid Bright, Erin Afana

Developing automated methods to detect and match face and voice biometrics in child sexual abuse videos

History

Journal

Trends and Issues in Crime and Criminal Justice

Pagination

1-15

Location

Canberra, A.C.T.

Publisher DOI

https://doi.org/10.52922/ti78566

ISSN

0817-8542

Language

English

Author URL

http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000777134700001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=a045e4b2bb1f2b747c68c720ec8913b7

Publication classification

C1 Refereed article in a scholarly journal

Issue

648

Publisher

Australian Institute of Criminology

Publication URL

http://doi.org/10.52922/ti78566

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Keywords

AGE Criminology & Penology PORNOGRAPHY Social Sciences TOOLS 4402 Criminology

Developing automated methods to detect and match face and voice biometrics in child sexual abuse videos

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