Zobrazeno 1 - 10
of 225
pro vyhledávání: '"Piva, Alessandro"'
Publikováno v:
In Neuroscience and Biobehavioral Reviews June 2024 161
Publikováno v:
In Pattern Recognition Letters May 2024 181:9-15
Autor:
Verde, Sebastiano, Pasquini, Cecilia, Lago, Federica, Goller, Alessandro, De Natale, Francesco GB, Piva, Alessandro, Boato, Giulia
The amount of multimedia content shared everyday, combined with the level of realism reached by recent fake-generating technologies, threatens to impair the trustworthiness of online information sources. The process of uploading and sharing data tend
Externí odkaz:
http://arxiv.org/abs/2108.02515
Publikováno v:
In Pattern Recognition Letters April 2024 180:82-89
Autor:
Caffino, Lucia, Mottarlini, Francesca, Piva, Alessandro, Rizzi, Beatrice, Fumagalli, Fabio, Chiamulera, Cristiano
Publikováno v:
In Neuropharmacology 1 January 2024 242
Autor:
Yang, Pengpeng, Baracchi, Daniele, Iuliani, Massimo, Shullani, Dasara, Ni, Rongrong, Zhao, Yao, Piva, Alessandro
Publikováno v:
IEEE Journal of Selected Topics in Signal Processing, vol. 14, no. 5, pp. 947-954, Aug. 2020
Most video forensic techniques look for traces within the data stream that are, however, mostly ineffective when dealing with strongly compressed or low resolution videos. Recent research highlighted that useful forensic traces are also left in the v
Externí odkaz:
http://arxiv.org/abs/2101.10795
Publikováno v:
IEEE Access, 2021
Photo Response Non-Uniformity (PRNU) is considered the most effective trace for the image source attribution task. Its uniqueness ensures that the sensor pattern noises extracted from different cameras are strongly uncorrelated, even when they belong
Externí odkaz:
http://arxiv.org/abs/2009.04878
Autor:
Mandelli, Sara, Argenti, Fabrizio, Bestagini, Paolo, Iuliani, Massimo, Piva, Alessandro, Tubaro, Stefano
To decide whether a digital video has been captured by a given device, multimedia forensic tools usually exploit characteristic noise traces left by the camera sensor on the acquired frames. This analysis requires that the noise pattern characterizin
Externí odkaz:
http://arxiv.org/abs/2005.09984
Akademický článek
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