Effect of Video Pixel-Binning on Source Attribution of Mixed Media

Taspinar, S; Mohanty, M; Memon, N

Effect of Video Pixel-Binning on Source Attribution of Mixed Media

Taspinar, S Mohanty, M

Memon, N

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Publisher:: IEEE
Publication Type:: Conference Proceeding
Citation:: ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021, 2021-June, pp. 2545-2549
Issue Date:: 2021-05-13

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Field	Value	Language
dc.contributor.author	Taspinar, S
dc.contributor.author	Mohanty, M https://orcid.org/0000-0002-0258-4586
dc.contributor.author	Memon, N
dc.date	2021-06-06
dc.date.accessioned	2022-01-30T03:29:36Z
dc.date.available	2022-01-30T03:29:36Z
dc.date.issued	2021-05-13
dc.identifier.citation	ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021, 2021-June, pp. 2545-2549
dc.identifier.isbn	978-1-7281-7605-5
dc.identifier.issn	1520-6149
dc.identifier.issn	2379-190X
dc.identifier.uri	http://hdl.handle.net/10453/153845
dc.description.abstract	Photo Response Non-Uniformity (PRNU) noise obtained from images or videos is used as a camera fingerprint to attribute visual objects captured by a camera. The PRNU-based source attribution method, however, fails when there is misalignment between the fingerprint and the query object. One example of such a misalignment, which has been overlooked in the field, is caused by the in-camera resizing technique that a video may have been subjected to. This paper investigates the attribution of visual media in the context of matching a video query object to an image fingerprint or vice versa. Specifically this paper focuses on improving camera attribution performance by taking into account the effects of binning, a commonly used in-camera resizing technique applied to video. We experimentally show that the True Positive Rate (TPR) obtained when binning is considered is approximately 3% higher.
dc.language	en
dc.publisher	IEEE
dc.relation.ispartof	ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
dc.relation.ispartof	IEEE International Conference on Acoustics, Speech and Signal Processing
dc.relation.isbasedon	10.1109/icassp39728.2021.9415094
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Effect of Video Pixel-Binning on Source Attribution of Mixed Media
dc.type	Conference Proceeding
utslib.citation.volume	2021-June
utslib.location.activity	Toronto, ON, Canada
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Science
pubs.organisational-group	/University of Technology Sydney/Strength - CFS - Centre for Forensic Science
pubs.organisational-group	/University of Technology Sydney/Faculty of Science/School of Mathematical and Physical Sciences
utslib.copyright.status	closed_access	*
pubs.consider-herdc	false
dc.date.updated	2022-01-30T03:29:34Z
pubs.finish-date	2021-06-11
pubs.place-of-publication	Piscataway, USA
pubs.publication-status	Published
pubs.start-date	2021-06-06
pubs.volume	2021-June
dc.location	Piscataway, USA

Abstract:

Photo Response Non-Uniformity (PRNU) noise obtained from images or videos is used as a camera fingerprint to attribute visual objects captured by a camera. The PRNU-based source attribution method, however, fails when there is misalignment between the fingerprint and the query object. One example of such a misalignment, which has been overlooked in the field, is caused by the in-camera resizing technique that a video may have been subjected to. This paper investigates the attribution of visual media in the context of matching a video query object to an image fingerprint or vice versa. Specifically this paper focuses on improving camera attribution performance by taking into account the effects of binning, a commonly used in-camera resizing technique applied to video. We experimentally show that the True Positive Rate (TPR) obtained when binning is considered is approximately 3% higher.

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http://hdl.handle.net/10453/153845