TY - GEN
T1 - Fast camera fingerprint matching in very large databases
AU - Taspinar, Samet
AU - Sencar, Husrev T.
AU - Bayram, Sevinc
AU - Memon, Nasir
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/7/2
Y1 - 2017/7/2
N2 - Given a query image or video, or a known camera fingerprint, there is a lack of capabilities for fast identification of media, from a large repository of images and videos, that match the query fingerprint. This work introduces a new approach that improves the computation efficiency of pairwise camera fingerprint matching and incorporates group testing to make the search more effective. More specifically, we jointly leverage the individual strengths of composite fingerprints and fingerprint digests in a novel manner and design two methods that are superior to existing approaches. The results show that under very high-performance requirements, where the probability of correct identification is close to one with a false-positive rate of zero, the proposed search methods are 2-8 times faster than the state-of-art search methods.
AB - Given a query image or video, or a known camera fingerprint, there is a lack of capabilities for fast identification of media, from a large repository of images and videos, that match the query fingerprint. This work introduces a new approach that improves the computation efficiency of pairwise camera fingerprint matching and incorporates group testing to make the search more effective. More specifically, we jointly leverage the individual strengths of composite fingerprints and fingerprint digests in a novel manner and design two methods that are superior to existing approaches. The results show that under very high-performance requirements, where the probability of correct identification is close to one with a false-positive rate of zero, the proposed search methods are 2-8 times faster than the state-of-art search methods.
KW - Camera fingerprint
KW - Composite fingerprint
KW - Fingerprint digests
KW - PRNU noise
KW - Sensor noise
UR - http://www.scopus.com/inward/record.url?scp=85045335199&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85045335199&partnerID=8YFLogxK
U2 - 10.1109/ICIP.2017.8297051
DO - 10.1109/ICIP.2017.8297051
M3 - Conference contribution
AN - SCOPUS:85045335199
T3 - Proceedings - International Conference on Image Processing, ICIP
SP - 4088
EP - 4092
BT - 2017 IEEE International Conference on Image Processing, ICIP 2017 - Proceedings
PB - IEEE Computer Society
T2 - 24th IEEE International Conference on Image Processing, ICIP 2017
Y2 - 17 September 2017 through 20 September 2017
ER -