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Synthetic human-like fakes: Difference between revisions
→Events against synthetic human-like fakes: + '''CVPR 2021 research areas visualization by Joshua Preston''' at public.tableau.com + tweaks
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If the handwriting-like synthesis passes human and media forensics testing, it is a '''digital handwrite-alike'''. | If the handwriting-like synthesis passes human and media forensics testing, it is a '''digital handwrite-alike'''. | ||
Here we find a | Here we find a '''risk''' similar to that which realized when the '''[[w:speaker recognition]] systems''' turned out to be instrumental in the development of '''[[#Digital sound-alikes|digital sound-alikes]]'''. After the knowledge needed to recognize a speaker was [[w:Transfer learning|w:transferred]] into a generative task in 2018 by Google researchers, we no longer cannot effectively determine for English speakers which recording is human in origin and which is from a machine origin. | ||
'''Handwriting-like syntheses''': | '''Handwriting-like syntheses''': | ||
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''' Handwriting recognition ''' | ''' Handwriting recognition ''' | ||
* [[w:Handwriting recognition]] | * '''[[w:Handwriting recognition]]''' ('''HWR'''), also known as '''Handwritten Text Recognition''' ('''HTR'''), is the ability of a computer to receive and interpret intelligible [[w:handwriting|w:handwritten]] input (Wikipedia) | ||
* '''[[w:Intelligent word recognition]]''', or '''IWR''', is the recognition of unconstrained handwritten words.<ref> | |||
{{Cite web | |||
|url=https://www.efilecabinet.com/what-is-iwr-intelligent-word-recognition-how-is-it-related-to-document-management/ | |||
|title=What is IWR? (Intelligent Word Recognition) | |||
|date=2016-01-04 | |||
|website=eFileCabinet | |||
|language=en-US | |||
|access-date=2021-09-21 | |||
}} | |||
</ref> (Wikipedia) | |||
* [https://github.com/topics/handwriting-recognition GitHub topic '''handwriting-recognition'''] contains 238 repositories as of September 2021. | * [https://github.com/topics/handwriting-recognition GitHub topic '''handwriting-recognition'''] contains 238 repositories as of September 2021. | ||
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</ref> - ''Open Media Forensics Challenge Evaluation (OpenMFC) is an open evaluation series organized by the NIST to assess and measure the capability of media forensic algorithms and systems.''<ref>https://www.nist.gov/itl/iad/mig/open-media-forensics-challenge</ref> | </ref> - ''Open Media Forensics Challenge Evaluation (OpenMFC) is an open evaluation series organized by the NIST to assess and measure the capability of media forensic algorithms and systems.''<ref>https://www.nist.gov/itl/iad/mig/open-media-forensics-challenge</ref> | ||
* '''2021''' | '''[[w:Conference on Computer Vision and Pattern Recognition]] (CVPR)''' 2021 | * '''2021''' | '''[[w:Conference on Computer Vision and Pattern Recognition]] (CVPR)''' 2021 | ||
** [https://public.tableau.com/app/profile/joshpreston/viz/CVPR2021/Dashboard1 '''CVPR 2021 research areas visualization by Joshua Preston''' at public.tableau.com] | |||
** [https://sites.google.com/view/mediaforensics2021 2021 ''''Workshop on Media Forensics'''' in CVPR 2021 at sites.google.com], a '''June 2021''' workshop at the Conference on Computer Vision and Pattern Recognition. | |||
* '''2020''' | [http://cvpr2020.thecvf.com/ '''CVPR''' 2020] | [https://sites.google.com/view/wmediaforensics2020/home 2020 Conference on Computer Vision and Pattern Recognition: ''''Workshop on Media Forensics'''' at sites.google.com], a '''June 2020''' workshop at the Conference on Computer Vision and Pattern Recognition. | * '''2020''' | [http://cvpr2020.thecvf.com/ '''CVPR''' 2020] | [https://sites.google.com/view/wmediaforensics2020/home 2020 Conference on Computer Vision and Pattern Recognition: ''''Workshop on Media Forensics'''' at sites.google.com], a '''June 2020''' workshop at the Conference on Computer Vision and Pattern Recognition. | ||