TY - GEN
T1 - Source camera attribution using stabilized video
AU - Taspinar, Samet
AU - Mohanty, Manoranjan
AU - Memon, Nasir
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2017/1/18
Y1 - 2017/1/18
N2 - Although PRNU (Photo Response Non-Uniformity)-based methods have been proposed to verify the source camera of a non-stabilized video, these methods may not be adequate for stabilized videos. The use of video stabilization has been increasing in recent years with the development of novel stabilization software and the availability of stabilization in smart-phone cameras. This paper presents a PRNU-based source camera attribution method for out-of-camera stabilized video (i.e., stabilization applied after the video is captured). The scheme can (i) automatically determine if a given video is stabilized, (ii) calculate the fingerprint from a stabilized video, and (iii) effectively correlate the fingerprint computed from a stabilized video (i.e., anonymous video) with a fingerprint computed from another stabilized or non-stabilized video (i.e., a known video). Furthermore, experimental results show that the source camera of an anonymous non-stabilized video can be verified using a fingerprint computed from a set of images.
AB - Although PRNU (Photo Response Non-Uniformity)-based methods have been proposed to verify the source camera of a non-stabilized video, these methods may not be adequate for stabilized videos. The use of video stabilization has been increasing in recent years with the development of novel stabilization software and the availability of stabilization in smart-phone cameras. This paper presents a PRNU-based source camera attribution method for out-of-camera stabilized video (i.e., stabilization applied after the video is captured). The scheme can (i) automatically determine if a given video is stabilized, (ii) calculate the fingerprint from a stabilized video, and (iii) effectively correlate the fingerprint computed from a stabilized video (i.e., anonymous video) with a fingerprint computed from another stabilized or non-stabilized video (i.e., a known video). Furthermore, experimental results show that the source camera of an anonymous non-stabilized video can be verified using a fingerprint computed from a set of images.
UR - http://www.scopus.com/inward/record.url?scp=85015033431&partnerID=8YFLogxK
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U2 - 10.1109/WIFS.2016.7823918
DO - 10.1109/WIFS.2016.7823918
M3 - Conference contribution
AN - SCOPUS:85015033431
T3 - 8th IEEE International Workshop on Information Forensics and Security, WIFS 2016
BT - 8th IEEE International Workshop on Information Forensics and Security, WIFS 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 8th IEEE International Workshop on Information Forensics and Security, WIFS 2016
Y2 - 4 December 2016 through 7 December 2016
ER -