Publications

@article{bennabhaktula_source_2022,

title = {Source camera device identification from videos},

author = {Guru Swaroop Bennabhaktula and Derrick Timmerman and Enrique Alegre and George Azzopardi},

url = {https://link.springer.com/article/10.1007/s42979-022-01202-0},

year  = {2022},

date = {2022-01-01},

journal = {SN Computer Science},

volume = {3},

number = {4},

pages = {316},

abstract = {This paper addresses the problem of source camera identification in digital videos using deep learning. The authors evaluate different models for camera identification, showing that traditional scene-suppression techniques don't improve performance. They achieved state-of-the-art accuracy on the VISION and QUFVD datasets, outperforming previous methods. The proposed approach does not require flat frames, unlike traditional PRNU-based methods, and is more efficient, making it suitable for use by Law Enforcement Agencies (LEAs).},

note = {Publisher: Springer Nature Singapore Singapore},

keywords = {Camera Recognition, deep learning, Digital Image Forensics, Manchine Learning, Source Camera Identification},

pubstate = {published},

tppubtype = {article}

}