Digital image processing and computer vision techniques are nowadays used for a wide variety of applications. With the rapid proliferation of inexpensive acquisition and storage devices, multimedia objects can be easily created, stored, transmitted, modified and tampered with by anyone.

Digital Image Processing

Digital image processing and computer vision techniques are nowadays used for a wide variety of applications. Within this context, we developed an expertise on a series of different topics:

  • Image and video analysis (e.g., multispectral imaging for food quality assessment and other industrial applications, object recognition in low-power platforms, etc.).
  • 3D processing (e.g., scene reconstruction and analysis for automatic docking assistance, posture monitoring for clinical analysis, etc.).
  • Video and image coding (e.g., exploiting distributed processing environment, coding of image descriptors, etc.).
Related publications
Authors: Type:

2020

  • M. Marcon, M. Paracchini, and S. Tubaro, “Visual Odometry from Omnidirectional Images for Intelligent Transportation,” Advances in Intelligent Systems and Computing, 2020.
    [Bibtex]
    @Article{marcon2020visual,
    title = {Visual Odometry from Omnidirectional Images for Intelligent Transportation},
    journal = {Advances in Intelligent Systems and Computing},
    year = {2020},
    author = {Marcon, Marco and Paracchini, Marco and Tubaro, Stefano},
    groups = {image},
    }
  • [DOI] M. Paracchini, M. Marcon, F. Villa, and S. Tubaro, “Deep Skin Detection on Low Resolution Grayscale Images,” Pattern Recognition Letters, vol. 131, pp. 322-328, 2020.
    [Bibtex]
    @Article{paracchini2020deep,
    author = {M. Paracchini and Marco Marcon and Federica Villa and Stefano Tubaro},
    title = {Deep Skin Detection on Low Resolution Grayscale Images},
    doi = {https://doi.org/10.1016/j.patrec.2019.12.021},
    issn = {0167-8655},
    pages = {322 - 328},
    volume = {131},
    groups = {image},
    journal = {Pattern Recognition Letters},
    year = {2020},
    }

2019

  • [DOI] N. Bonettini, M. Paracchini, P. Bestagini, M. Marcon, and S. Tubaro, “Hyperspectral X-ray Denoising: Model-Based and Data-Driven Solutions,” in European Signal Processing Conference (EUSIPCO), 2019, pp. 1-5.
    [Bibtex]
    @InProceedings{bonettini2019hyperspectral,
    author = {N. {Bonettini} and M. {Paracchini} and P. {Bestagini} and M. {Marcon} and S. {Tubaro}},
    booktitle = {European Signal Processing Conference (EUSIPCO)},
    title = {Hyperspectral X-ray Denoising: Model-Based and Data-Driven Solutions},
    doi = {10.23919/EUSIPCO.2019.8903151},
    pages = {1-5},
    groups = {image},
    year = {2019},
    }
  • [DOI] A. Canclini, F. Malapelle, M. Marcon, S. Tubaro, and A. Fusiello, “View-synthesis from uncalibrated cameras and parallel planes,” Signal Processing: Image Communication, vol. 79, pp. 40-53, 2019.
    [Bibtex]
    @Article{canclini2019view,
    author = {Canclini, A. and Malapelle, F. and Marcon, M. and Tubaro, S. and Fusiello, A.},
    title = {View-synthesis from uncalibrated cameras and parallel planes},
    journal = {Signal Processing: Image Communication},
    year = {2019},
    volume = {79},
    pages = {40-53},
    doi = {https://doi.org/10.1016/j.image.2019.08.012},
    groups = {image},
    url = {http://www.sciencedirect.com/science/article/pii/S0923596518309780},
    }
  • [DOI] M. Paracchini, M. Marcon, and S. Tubaro, “Fast and Reliable Facial Landmarks Localization in Non Frontal Images,” in European Workshop on Visual Information Processing (EUVIP), 2019, pp. 88-92.
    [Bibtex]
    @InProceedings{paracchini2019fast,
    author = {M. {Paracchini} and M. {Marcon} and S. {Tubaro}},
    booktitle = {European Workshop on Visual Information Processing (EUVIP)},
    title = {Fast and Reliable Facial Landmarks Localization in Non Frontal Images},
    doi = {10.1109/EUVIP47703.2019.8946249},
    pages = {88-92},
    url = {image},
    groups = {image},
    issn = {2164-974X},
    month = {Oct},
    year = {2019},
    }
  • [DOI] M. Paracchini, L. Marchesi, K. Pasquinelli, M. Marcon, G. Fontana, A. Gabrielli, and F. Villa, “Remote PhotoPlethysmoGraphy Using SPAD Camera for Automotive Health Monitoring Application,” in AEIT International Conference of Electrical and Electronic Technologies for Automotive (AEIT AUTOMOTIVE), 2019, pp. 1-6.
    [Bibtex]
    @InProceedings{paracchini2019remote,
    author = {M. {Paracchini} and L. {Marchesi} and K. {Pasquinelli} and M. {Marcon} and G. {Fontana} and A. {Gabrielli} and F. {Villa}},
    booktitle = {AEIT International Conference of Electrical and Electronic Technologies for Automotive (AEIT AUTOMOTIVE)},
    title = {Remote PhotoPlethysmoGraphy Using {SPAD} Camera for Automotive Health Monitoring Application},
    doi = {10.23919/EETA.2019.8804516},
    pages = {1-6},
    url = {image},
    groups = {image},
    month = {July},
    year = {2019},
    }
  • [DOI] M. Marcon, M. B. M. Paracchini, and S. Tubaro, “A Framework for Interpreting, Modeling and Recognizing Human Body Gestures through 3D Eigenpostures,” International Journal of Machine Learning and Cybernetics, vol. 10, iss. 5, pp. 1205-226, 2019.
    [Bibtex]
    @Article{marcon2019framework,
    author = {Marcon, Marco and Paracchini, Marco Brando Mario and Tubaro, Stefano},
    title = {A Framework for Interpreting, Modeling and Recognizing Human Body Gestures through {3D} Eigenpostures},
    doi = {10.1007/s13042-018-0801-1},
    number = {5},
    pages = {1205-226},
    volume = {10},
    groups = {image},
    journal = {International Journal of Machine Learning and Cybernetics},
    year = {2019},
    }
  • [DOI] D. Scazzoli, G. Bartezzaghi, D. Uysal, M. Magarini, M. Melacini, and M. Marcon, “Usage of Hough Transform for Expiry Date Extraction via Optical Character Recognition,” in Advances in Science and Engineering Technology International Conferences (ASET), 2019, pp. 1-6.
    [Bibtex]
    @InProceedings{scazzoli2019usage,
    author = {D. {Scazzoli} and G. {Bartezzaghi} and D. {Uysal} and M. {Magarini} and M. {Melacini} and M. {Marcon}},
    title = {Usage of Hough Transform for Expiry Date Extraction via Optical Character Recognition},
    booktitle = {Advances in Science and Engineering Technology International Conferences (ASET)},
    year = {2019},
    pages = {1-6},
    month = {March},
    doi = {10.1109/ICASET.2019.8714306},
    groups = {image},
    }

2018

  • A. Brokalakis, A. Nikitakis, T. N. I. Papaefstathiou, S. Andrianakis, A. Dollas, M. Paracchini, M. Marcon, D. P. Pau, and E. Plebani, “An Open-Source, Extendable, Highly-Accurate and Security-Aware Simulator for CLoud Applicationss,” in Conference on Innovation in Clouds, Internet and Networks (ICIN), 2018.
    [Bibtex]
    @InProceedings{brokalakis2018open,
    author = {A. Brokalakis and A. Nikitakis and I. Papaefstathiou, N. Tampouratzis and St. Andrianakis and A. Dollas and M. Paracchini and M. Marcon and D.P. Pau and E. Plebani},
    booktitle = {Conference on Innovation in Clouds, Internet and Networks (ICIN)},
    title = {An Open-Source, Extendable, Highly-Accurate and Security-Aware Simulator for CLoud Applicationss},
    groups = {image},
    year = {2018},
    }
  • [DOI] A. Brokalakis, N. Tampouratzis, A. Nikitakis, I. Papaefstathiou, S. Andrianakis, D. Pau, E. Plebani, M. Paracchini, M. Marcon, I. Sourdis, P. R. Geethakumari, M. C. Palacios, M. A. Anton, and A. Szasz, “COSSIM: An Open-Source Integrated Solution to Address the Simulator Gap for Systems of Systems,” in Euromicro Conference on Digital System Design (DSD), 2018, pp. 115-120.
    [Bibtex]
    @InProceedings{brokalakis2018cossim,
    author = {A. {Brokalakis} and N. {Tampouratzis} and A. {Nikitakis} and I. {Papaefstathiou} and S. {Andrianakis} and D. {Pau} and E. {Plebani} and M. {Paracchini} and M. {Marcon} and I. {Sourdis} and P. R. {Geethakumari} and M. C. {Palacios} and M. A. {Anton} and A. {Szasz}},
    booktitle = {Euromicro Conference on Digital System Design (DSD)},
    title = {COSSIM: An Open-Source Integrated Solution to Address the Simulator Gap for Systems of Systems},
    doi = {10.1109/DSD.2018.00033},
    pages = {115-120},
    groups = {image},
    year = {2018},
    }

2017

  • M. Paracchini, E. Plebani, M. B. Iche, D. P. Pau, and M. Marcon, “Embedded Real-Time Visual Search with Visual Distance Estimation,” in Image Analysis and Processing (ICIAP), 2017, p. 59–69.
    [Bibtex]
    @InProceedings{paracchini2017embedded,
    author = {M. Paracchini and Plebani, Emanuele and Iche, Mehdi Ben and Pau, Danilo Pietro and Marcon, Marco},
    booktitle = {Image Analysis and Processing (ICIAP)},
    title = {Embedded Real-Time Visual Search with Visual Distance Estimation},
    pages = {59--69},
    groups = {image},
    year = {2017},
    }
  • [DOI] D. Martino, Y. Shen, M. Paracchini, M. Marcon, E. Plebani, and D. P. Pau, “Accurate Cyber-physical System Simulation for Distributed Visual Search Applications,” in IEEE International Forum on Research and Technologies for Society and Industry (RTSI), 2017, pp. 1-5.
    [Bibtex]
    @InProceedings{martino2017accurate,
    author = {D. Martino and Y. Shen and M. Paracchini and M. Marcon and E. Plebani and D. P. Pau},
    booktitle = {IEEE International Forum on Research and Technologies for Society and Industry (RTSI)},
    title = {Accurate Cyber-physical System Simulation for Distributed Visual Search Applications},
    doi = {10.1109/RTSI.2017.8065917},
    pages = {1-5},
    groups = {image},
    year = {2017},
    }

2016

  • [DOI] M. Paracchini, M. Marcon, E. Plebani, and D. P. Pau, “Visual Search of multiple objects from a single query,” in IEEE International Conference on Consumer Electronics – Berlin (ICCE-Berlin), 2016, pp. 41-45.
    [Bibtex]
    @InProceedings{paracchini2016visual,
    author = {M. Paracchini and M. Marcon and E. Plebani and D. P. Pau},
    booktitle = {IEEE International Conference on Consumer Electronics - Berlin (ICCE-Berlin)},
    title = {Visual Search of multiple objects from a single query},
    doi = {10.1109/ICCE-Berlin.2016.7684712},
    pages = {41-45},
    groups = {image},
    year = {2016},
    }
  • [DOI] M. Paracchini, A. Schepis, M. Marcon, M. Falchetto, E. Plebani, and D. Pau, “Accurate Omnidirectional Multi-camera Embedded Structure from Motion,” in IEEE International Forum on Research and Technologies for Society and Industry Leveraging a better tomorrow (RTSI), 2016, pp. 1-6.
    [Bibtex]
    @InProceedings{paracchini2016accurate,
    author = {M. Paracchini and A. Schepis and M. Marcon and M. Falchetto and E. Plebani and D. Pau},
    booktitle = {IEEE International Forum on Research and Technologies for Society and Industry Leveraging a better tomorrow (RTSI)},
    title = {Accurate Omnidirectional Multi-camera Embedded Structure from Motion},
    doi = {10.1109/RTSI.2016.7740560},
    pages = {1-6},
    groups = {image},
    year = {2016},
    }

2015

  • [DOI] M. Paracchini, M. Marcon, D. Pau, M. Falchetto, and E. Plebani, “Accurate Characterization of Embedded Structure from Motion,” in IEEE International Workshop on Consumer Electronics (CE WS), 2015, pp. 5-8.
    [Bibtex]
    @InProceedings{paracchini2015accurate,
    author = {M. Paracchini and M. Marcon and D. Pau and M. Falchetto and E. Plebani},
    booktitle = {IEEE International Workshop on Consumer Electronics (CE WS)},
    title = {Accurate Characterization of Embedded Structure from Motion},
    doi = {10.1109/CEWS.2015.7867140},
    pages = {5-8},
    groups = {image},
    year = {2015},
    }
  • [DOI] M. Paracchini, M. Marcon, F. Villa, F. Zappa, and S. Tubaro, “Biometric Signals Estimation Using Single Photon Camera and Deep Learning,” Sensors, vol. 20.
    [Bibtex]
    @Article{paracchini2020biometric,
    author = {Paracchini, Marco and Marcon, Marco and Villa, Federica and Zappa, Franco and Tubaro, Stefano},
    date = {2020},
    journal = {Sensors},
    title = {Biometric Signals Estimation Using Single Photon Camera and Deep Learning},
    doi = {10.3390/s20216102},
    issn = {1424-8220},
    issue = {21},
    volume = {20},
    groups = {image},
    }

Multimedia Forensics

With the rapid proliferation of inexpensive acquisition and storage devices, multimedia objects can be easily created, stored, transmitted, modified and tampered with by anyone. During its lifetime, a digital object might go through several processing stages, including multiple analog-to-digital (A/D) and digital-to-analog (D/A) conversions, coding and decoding, transmission, and editing.

Traces left by processing operations can be exploited to develop solutions that enable to expose the past history of multimedia content. Leveraging these footprints, we develop techniques with different goals:

  • Detect forgeries in images and videos.
  • Link an image or video to the originating device used to shoot it.
  • Discriminate between original imagery and fakes obtained through CNNs and GANs.
  • Analyze satellite images to detect manipulation.
  • Expose forgeries on images belonging to scientific publications to fight author misconduct.
Related publications
Authors: Type:

2021

  • [DOI] C. Borrelli, P. Bestagini, F. Antonacci, A. Sarti, and S. Tubaro, “Synthetic speech detection through short-term and long-term prediction traces,” EURASIP Journal on Information Security, vol. 2021, iss. 1, p. 2, 2021.
    [Bibtex]
    @Article{borrelli2021synthetic,
    author = {Borrelli, Clara and Bestagini, Paolo and Antonacci, Fabio and Sarti, Augusto and Tubaro, Stefano},
    title = {{Synthetic speech detection through short-term and long-term prediction traces}},
    journal = {EURASIP Journal on Information Security},
    year = {2021},
    volume = {2021},
    number = {1},
    pages = {2},
    doi = {10.1186/s13635-021-00116-3},
    url = {https://doi.org/10.1186/s13635-021-00116-3},
    abstract = {Several methods for synthetic audio speech generation have been developed in the literature through the years. With the great technological advances brought by deep learning, many novel synthetic speech techniques achieving incredible realistic results have been recently proposed. As these methods generate convincing fake human voices, they can be used in a malicious way to negatively impact on today's society (e.g., people impersonation, fake news spreading, opinion formation). For this reason, the ability of detecting whether a speech recording is synthetic or pristine is becoming an urgent necessity. In this work, we develop a synthetic speech detector. This takes as input an audio recording, extracts a series of hand-crafted features motivated by the speech-processing literature, and classify them in either closed-set or open-set. The proposed detector is validated on a publicly available dataset consisting of 17 synthetic speech generation algorithms ranging from old fashioned vocoders to modern deep learning solutions. Results show that the proposed method outperforms recently proposed detectors in the forensics literature.},
    groups = {audio, forensics},
    }

2020

  • B. Peixoto, B. Lavi, P. Bestagini, Z. Dias, and A. Rocha, “Multimodal Violence Detection in Videos,” in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020.
    [Bibtex]
    @InProceedings{peixoto2020multimodal,
    author = {B. {Peixoto} and B. {Lavi} and P. {Bestagini} and Z. {Dias} and A. {Rocha}},
    title = {Multimodal Violence Detection in Videos},
    booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
    year = {2020},
    groups = {forensics},
    }
  • S. Mandelli, F. Argenti, P. Bestagini, M. Iuliani, A. Piva, and S. Tubaro, “A Modified Fourier-Mellin Approach for Source Device Identification on Stabilized Videos,” in IEEE International Conference on Image Processing (ICIP), 2020.
    [Bibtex]
    @InProceedings{mandelli2020modified,
    author = {Mandelli, S. and Argenti, F. and Bestagini, P. and Iuliani, M. and Piva, A. and Tubaro, S.},
    title = {A Modified {Fourier-Mellin} Approach for Source Device Identification on Stabilized Videos},
    booktitle = {IEEE International Conference on Image Processing (ICIP)},
    year = {2020},
    groups = {forensics},
    }
  • R. Castelletto, S. Milani, and P. Bestagini, “Phylogenetic Minimum Spanning Tree Reconstruction Using Autoencoders,” in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020.
    [Bibtex]
    @InProceedings{castelletto2020phylogenetic,
    author = {Castelletto, R. and Milani, S. and Bestagini, P.},
    title = {Phylogenetic Minimum Spanning Tree Reconstruction Using Autoencoders},
    booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
    year = {2020},
    groups = {forensics},
    }
  • N. Bonettini, E. D. Cannas, S. Mandelli, L. Bondi, P. Bestagini, and S. Tubaro, “Video Face Manipulation Detection Through Ensemble of CNNs,” in International Conference on Pattern Recognition (ICPR), 2020.
    [Bibtex]
    @InProceedings{bonettini2020video,
    author = {Bonettini, N. and Cannas, E. D. and Mandelli, S. and Bondi, L. and Bestagini, P. and Tubaro, S.},
    title = {Video Face Manipulation Detection Through Ensemble of {CNNs}},
    booktitle = {International Conference on Pattern Recognition (ICPR)},
    year = {2020},
    groups = {forensics},
    }
  • S. Mandelli, D. Cozzolino, P. Bestagini, L. Verdoliva, and S. Tubaro, “CNN-based fast source device identification,” IEEE Signal Processing Letters (SPL), 2020.
    [Bibtex]
    @Article{mandelli2020cnn,
    author = {Mandelli, S. and Cozzolino, D. and Bestagini, P. and Verdoliva, L. and Tubaro, S.},
    title = {{CNN}-based fast source device identification},
    journal = {IEEE Signal Processing Letters (SPL)},
    year = {2020},
    groups = {forensics},
    }
  • C. Borrelli, P. Bestagini, F. Antonacci, A. Sarti, and S. Tubaro, “Speech Audio Splicing Detection and Localization Exploiting Reverberation Cues,” in IEEE International Workshop on Information Forensics and Security (WIFS), 2020.
    [Bibtex]
    @InProceedings{borrelli2020speech,
    author = {C. {Borrelli} and P. {Bestagini} and F. {Antonacci} and A. {Sarti} and S. {Tubaro}},
    title = {Speech Audio Splicing Detection and Localization Exploiting Reverberation Cues},
    booktitle = {IEEE International Workshop on Information Forensics and Security (WIFS)},
    year = {2020},
    groups = {forensics},
    }
  • N. Bonettini, P. Bestagini, S. Milani, and S. Tubaro, “On the Use of Benford’s Law to Detect GAN-Generated Images,” in International Conference on Pattern Recognition (ICPR), 2020.
    [Bibtex]
    @InProceedings{bonettini2020use,
    author = {Bonettini, N. and Bestagini, P. and Milani, S. and Tubaro, S.},
    title = {On the Use of {Benford}'s Law to Detect {GAN}-Generated Images},
    booktitle = {International Conference on Pattern Recognition (ICPR)},
    year = {2020},
    groups = {forensics},
    }
  • L. Bondi, E. D. Cannas, P. Bestagini, and S. Tubaro, “Training Strategies and Data Augmentations in CNN-based DeepFake Video Detection,” in IEEE International Workshop on Information Forensics and Security (WIFS), 2020.
    [Bibtex]
    @InProceedings{bondi2020training,
    author = {L. {Bondi} and E. D. {Cannas} and P. {Bestagini} and S. {Tubaro}},
    title = {Training Strategies and Data Augmentations in {CNN}-based DeepFake Video Detection},
    booktitle = {IEEE International Workshop on Information Forensics and Security (WIFS)},
    year = {2020},
    groups = {forensics},
    }
  • S. Mandelli, N. Bonettini, P. Bestagini, and S. Tubaro, “Training CNNs in Presence of JPEG Compression: Multimedia Forensics vs Computer Vision,” in IEEE International Workshop on Information Forensics and Security (WIFS), 2020.
    [Bibtex]
    @InProceedings{mandelli2020training,
    author = {S. {Mandelli} and N. {Bonettini} and P. {Bestagini} and S. {Tubaro}},
    title = {Training {CNN}s in Presence of {JPEG} Compression: Multimedia Forensics vs Computer Vision},
    booktitle = {IEEE International Workshop on Information Forensics and Security (WIFS)},
    year = {2020},
    groups = {forensics},
    }

2019

  • [DOI] L. Bondi, P. Bestagini, F. Perez-Gonzalez, and S. Tubaro, “Improving PRNU Compression through Preprocessing, Quantization and Coding,” IEEE Transactions on Information Forensics and Security (TIFS), vol. 14, pp. 608-620, 2019.
    [Bibtex]
    @Article{bondi2019improving,
    author = {Bondi, L. and Bestagini, P. and Perez-Gonzalez, F. and Tubaro, S.},
    title = {Improving {PRNU} Compression through Preprocessing, Quantization and Coding},
    journal = {IEEE Transactions on Information Forensics and Security (TIFS)},
    year = {2019},
    volume = {14},
    pages = {608-620},
    doi = {10.1109/TIFS.2018.2859587},
    groups = {forensics},
    }
  • [DOI] E. R. Bartusiak, S. K. Yarlagadda, D. Güera, P. Bestagini, S. Tubaro, F. M. Zhu, and E. J. Delp, “Splicing Detection and Localization In Satellite Imagery Using Conditional GANs,” in IEEE Conference on Multimedia Information Processing and Retrieval (MIPR), 2019.
    [Bibtex]
    @InProceedings{bartusiak2019splicing,
    author = {E. R. {Bartusiak} and S. K. {Yarlagadda} and D. {G\"uera} and P. {Bestagini} and S. {Tubaro} and F. M. {Zhu} and E. J. {Delp}},
    title = {Splicing Detection and Localization In Satellite Imagery Using Conditional {GAN}s},
    booktitle = {IEEE Conference on Multimedia Information Processing and Retrieval (MIPR)},
    year = {2019},
    doi = {10.1109/MIPR.2019.00024},
    groups = {forensics},
    }
  • [DOI] A. Lieto, D. Moro, F. Devoti, C. Parera, V. Lipari, P. Bestagini, and S. Tubaro, “”Hello? Who Am I Talking to?” A Shallow CNN Approach for Human vs. Bot Speech Classification,” in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019.
    [Bibtex]
    @InProceedings{lieto2019hello?,
    author = {A. {Lieto} and D. {Moro} and F. {Devoti} and C. {Parera} and V. {Lipari} and P. {Bestagini} and S. {Tubaro}},
    title = {{"Hello? Who Am I Talking to?" A Shallow CNN Approach for Human vs. Bot Speech Classification}},
    booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
    year = {2019},
    doi = {10.1109/ICASSP.2019.8682743},
    groups = {forensics},
    }
  • [DOI] S. K. Yarlagadda, D. Güera, D. M. Montserrat, F. M. Zhu, E. J. Delp, P. Bestagini, and S. Tubaro, “Shadow Removal Detection and Localization for Forensics Analysis,” in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019.
    [Bibtex]
    @InProceedings{yarlagadda2019shadow,
    author = {S. K. {Yarlagadda} and D. {G\"uera} and D. M. {Montserrat} and F. M. {Zhu} and E. J. {Delp} and P. {Bestagini} and S. {Tubaro}},
    title = {Shadow Removal Detection and Localization for Forensics Analysis},
    booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
    year = {2019},
    doi = {10.1109/ICASSP.2019.8683695},
    groups = {forensics},
    }
  • [DOI] P. R. M. Júnior, L. Bondi, P. Bestagini, S. Tubaro, and A. Rocha, “An In-Depth Study on Open-Set Camera Model Identification,” IEEE Access, 2019.
    [Bibtex]
    @Article{junior2019depth,
    author = {P. R. M. {J\'unior} and L. {Bondi} and P. {Bestagini} and S. {Tubaro} and A. {Rocha}},
    title = {An In-Depth Study on Open-Set Camera Model Identification},
    journal = {IEEE Access},
    year = {2019},
    doi = {10.1109/ACCESS.2019.2921436},
    groups = {forensics},
    }
  • [DOI] S. Mandelli, P. Bestagini, L. Verdoliva, and S. Tubaro, “Facing Device Attribution Problem for Stabilized Video Sequences,” IEEE Transactions on Information Forensics and Security (TIFS), 2019.
    [Bibtex]
    @Article{mandelli2019facing,
    author = {S. {Mandelli} and P. {Bestagini} and L. {Verdoliva} and S. {Tubaro}},
    title = {Facing Device Attribution Problem for Stabilized Video Sequences},
    journal = {IEEE Transactions on Information Forensics and Security (TIFS)},
    year = {2019},
    doi = {10.1109/TIFS.2019.2918644},
    groups = {forensics},
    }
  • N. Bonettini, D. Güera, L. Bondi, P. Bestagini, E. J. Delp, and S. Tubaro, “Image Anonymization Detection with Deep Handcrafted Features,” in IEEE International Conference on Image Processing (ICIP), 2019.
    [Bibtex]
    @InProceedings{bonettini2019image,
    author = {Bonettini, Nicolo and G{\"u}era, David and Bondi, Luca and Bestagini, Paolo and Delp, Edward J and Tubaro, Stefano},
    title = {Image Anonymization Detection with Deep Handcrafted Features},
    booktitle = {IEEE International Conference on Image Processing (ICIP)},
    year = {2019},
    groups = {forensics},
    url = {https://engineering.purdue.edu/~dgueraco/content/prnu_icip.pdf},
    }
  • D. Güera, S. Baireddy, P. Bestagini, S. Tubaro, and E. J. Delp, “We Need No Pixels: Video Manipulation Detection Using Stream Descriptors,” in International Conference on Machine Learning (ICML), Synthetic Realities: Deep Learning for Detecting AudioVisual Fakes Workshop, 2019.
    [Bibtex]
    @InProceedings{gueera2019we,
    author = {G{\"u}era, D. and Baireddy, S. and Bestagini, P. and Tubaro, S. and Delp, E. J.},
    title = {We Need No Pixels: Video Manipulation Detection Using Stream Descriptors},
    booktitle = {International Conference on Machine Learning (ICML), Synthetic Realities: Deep Learning for Detecting AudioVisual Fakes Workshop},
    year = {2019},
    groups = {forensics},
    }
  • J. Horvath, D. Güera, S. Kalyan Yarlagadda, P. Bestagini, F. Maggie Zhu, S. Tubaro, and E. J. Delp, “Anomaly-Based Manipulation Detection in Satellite Images,” in IEEE Conference on Computer Vision and Pattern Recognition Workshop (CVPRW), 2019.
    [Bibtex]
    @InProceedings{horvath2019anomaly,
    author = {Horvath, Janos and G\"uera, David and Kalyan Yarlagadda, Sri and Bestagini, Paolo and Maggie Zhu, Fengqing and Tubaro, Stefano and Delp, Edward J.},
    title = {Anomaly-Based Manipulation Detection in Satellite Images},
    booktitle = {IEEE Conference on Computer Vision and Pattern Recognition Workshop (CVPRW)},
    year = {2019},
    groups = {forensics},
    }
  • [DOI] G. {Pinheiro}, M. {Cirne}, P. {Bestagini}, S. {Tubaro}, and A. {Rocha}, “Detection and Synchronization of Video Sequences for Event Reconstruction,” in IEEE International Conference on Image Processing (ICIP), 2019.
    [Bibtex]
    @InProceedings{pinheiro2019detection,
    author = {{Pinheiro}, G. and {Cirne}, M. and {Bestagini}, P. and {Tubaro}, S. and {Rocha}, A.},
    title = {Detection and Synchronization of Video Sequences for Event Reconstruction},
    booktitle = {IEEE International Conference on Image Processing (ICIP)},
    year = {2019},
    doi = {10.1109/ICIP.2019.8803545},
    groups = {forensics},
    }
  • [DOI] P. R. M. Júnior, L. Bondi, P. Bestagini, A. Rocha, and S. Tubaro, “A PRNU-Based Method to Expose Video Device Compositions in Open-Set Setups,” in IEEE International Conference on Image Processing (ICIP), 2019.
    [Bibtex]
    @InProceedings{junior2019prnu,
    author = {P. R. M. {Júnior} and L. {Bondi} and P. {Bestagini} and A. {Rocha} and S. {Tubaro}},
    title = {A {PRNU}-Based Method to Expose Video Device Compositions in Open-Set Setups},
    booktitle = {IEEE International Conference on Image Processing (ICIP)},
    year = {2019},
    doi = {10.1109/ICIP.2019.8802981},
    groups = {forensics},
    }
  • C. Borrelli, P. Bestagini, F. Antonacci, A. Sarti, and S. Tubaro, “Automatic Reliability Estimation for Speech Audio Surveillance Recordings,” in IEEE International Workshop on Information Forensics and Security (WIFS), 2019.
    [Bibtex]
    @InProceedings{borrelli2019automatic,
    author = {C. {Borrelli} and P. {Bestagini} and F. {Antonacci} and A. {Sarti} and S. {Tubaro}},
    title = {Automatic Reliability Estimation for Speech Audio Surveillance Recordings},
    booktitle = {IEEE International Workshop on Information Forensics and Security (WIFS)},
    year = {2019},
    groups = {forensics},
    }

2018

  • S. Mandelli, D. Cozzolino, P. Bestagini, L. Verdoliva, and S. Tubaro, “Blind Detection and Localization of Video Temporal Splicing Exploiting Sensor-Based Footprints,” in European Signal Processing Conference (EUSIPCO), 2018.
    [Bibtex]
    @InProceedings{mandelli2018blind,
    author = {Mandelli, S. and Cozzolino, D. and Bestagini, P. and Verdoliva, L. and Tubaro, S.},
    title = {Blind Detection and Localization of Video Temporal Splicing Exploiting Sensor-Based Footprints},
    booktitle = {European Signal Processing Conference (EUSIPCO)},
    year = {2018},
    groups = {forensics},
    }
  • S. K. Yarlagadda, D. Güera, P. Bestagini, F. M. Zhu, S. Tubaro, and E. J. Delp, “Satellite Image Forgery Detection and Localization Using GAN and One-Class Classifier,” in IS&T Electronic Imaging (EI), 2018.
    [Bibtex]
    @InProceedings{yarlagadda2018satellite,
    author = {Yarlagadda, Sri K. and G{\"u}era, David and Bestagini, Paolo and Zhu, F. M. and Tubaro, Stefano and Delp, Edward J.},
    title = {Satellite Image Forgery Detection and Localization Using GAN and One-Class Classifier},
    booktitle = {IS\&T Electronic Imaging (EI)},
    year = {2018},
    groups = {forensics},
    }
  • D. Güera, S. K. Yarlagadda, P. Bestagini, F. M. Zhu, S. Tubaro, and E. J. Delp, “Reliability Map Estimation For CNN-Based Camera Model Attribution,” in IEEE Winter Conference on Applications of Computer Vision (WACV), 2018.
    [Bibtex]
    @InProceedings{gueera2018reliability,
    author = {G{\"u}era, David and Yarlagadda, Sri K. and Bestagini, Paolo and Zhu, F. M. and Tubaro, Stefano and Delp, Edward J.},
    title = {Reliability Map Estimation For CNN-Based Camera Model Attribution},
    booktitle = {IEEE Winter Conference on Applications of Computer Vision (WACV)},
    year = {2018},
    groups = {forensics},
    }
  • S. Mandelli, N. Bonettini, P. Bestagini, V. Lipari, and S. Tubaro, “Multiple JPEG compression detection through task-driven non-negative matrix factorization,” in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018.
    [Bibtex]
    @InProceedings{mandelli2018multiple,
    author = {Mandelli, Sara and Bonettini, Nicolo and Bestagini, Paolo and Lipari, Vincenzo and Tubaro, Stefano},
    title = {Multiple {JPEG} compression detection through task-driven non-negative matrix factorization},
    booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
    year = {2018},
    groups = {forensics},
    }
  • N. Bonettini, L. Bondi, D. Güera, S. Mandelli, P. Bestagini, S. Tubaro, and E. J. Delp, “Fooling PRNU-Based Detectors Through Convolutional Neural Networks,” in European Signal Processing Conference (EUSIPCO), 2018.
    [Bibtex]
    @InProceedings{bonettini2018fooling,
    author = {Bonettini, N. and Bondi, L. and G{\"u}era, D. and Mandelli, S. and Bestagini, P. and Tubaro, S. and Delp, E. J.},
    title = {Fooling PRNU-Based Detectors Through Convolutional Neural Networks},
    booktitle = {European Signal Processing Conference (EUSIPCO)},
    year = {2018},
    groups = {forensics},
    }
  • S. Verde, L. Bondi, P. Bestagini, S. Milani, G. Calvagno, and S. Tubaro, “Video Codec Forensics Based on Convolutional Neural Networks,” in IEEE International Conference on Image Processing (ICIP), 2018.
    [Bibtex]
    @InProceedings{verde2018video,
    author = {Verde, Sebastiano and Bondi, Luca and Bestagini, Paolo and Milani, Simone and Calvagno, Giancarlo and Tubaro, Stefano},
    title = {Video Codec Forensics Based on Convolutional Neural Networks},
    booktitle = {IEEE International Conference on Image Processing (ICIP)},
    year = {2018},
    groups = {forensics},
    }
  • [DOI] N. Bonettini, L. Bondi, P. Bestagini, and S. Tubaro, “JPEG Implementation Forensics Based on Eigen-Algorithms,” in IEEE International Workshop on Information Forensics and Security (WIFS), 2018.
    [Bibtex]
    @InProceedings{bonettini2018jpeg,
    author = {N. {Bonettini} and L. {Bondi} and P. {Bestagini} and S. {Tubaro}},
    title = {{JPEG} Implementation Forensics Based on Eigen-Algorithms},
    booktitle = {IEEE International Workshop on Information Forensics and Security (WIFS)},
    year = {2018},
    doi = {10.1109/WIFS.2018.8630765},
    groups = {forensics},
    }
  • [DOI] M. Stamm, P. Bestagini, L. Marcenaro, and P. Campisi, “Forensic Camera Model Identification: Highlights from the IEEE Signal Processing Cup 2018 Student Competition [SP Competitions],” IEEE Signal Processing Magazine (SPM), vol. 35, pp. 168-174, 2018.
    [Bibtex]
    @Article{stamm2018forensic,
    author = {M. {Stamm} and P. {Bestagini} and L. {Marcenaro} and P. {Campisi}},
    title = {{Forensic Camera Model Identification: Highlights from the IEEE Signal Processing Cup 2018 Student Competition [SP Competitions]}},
    journal = {IEEE Signal Processing Magazine (SPM)},
    year = {2018},
    volume = {35},
    pages = {168-174},
    doi = {10.1109/MSP.2018.2847326},
    groups = {forensics},
    }

2017

  • [DOI] L. Bondi, L. Baroffio, D. Güera, P. Bestagini, E. J. Delp, and S. Tubaro, “First Steps Toward Camera Model Identification With Convolutional Neural Networks,” IEEE Signal Processing Letters (SPL), vol. 24, pp. 259-263, 2017.
    [Bibtex]
    @Article{bondi2017first,
    author = {Bondi, Luca and Baroffio, Luca and G{\"u}era, David and Bestagini, Paolo and Delp, Edward J. and Tubaro, Stefano},
    title = {First Steps Toward Camera Model Identification With Convolutional Neural Networks},
    journal = {IEEE Signal Processing Letters (SPL)},
    year = {2017},
    volume = {24},
    pages = {259-263},
    doi = {10.1109/LSP.2016.2641006},
    groups = {forensics},
    }
  • [DOI] A. Ferreira, L. Bondi, L. Baroffio, P. Bestagini, J. Huang, J. A. dos Santos, S. Tubaro, and A. Rocha, “Data-Driven Feature Characterization Techniques for Laser Printer Attribution,” IEEE Transactions on Information Forensics and Security (TIFS), vol. 12, pp. 1860-1873, 2017.
    [Bibtex]
    @Article{ferreira2017data,
    author = {A. Ferreira and L. Bondi and L. Baroffio and P. Bestagini and J. Huang and J. A. dos Santos and S. Tubaro and A. Rocha},
    title = {Data-Driven Feature Characterization Techniques for Laser Printer Attribution},
    journal = {IEEE Transactions on Information Forensics and Security (TIFS)},
    year = {2017},
    volume = {12},
    pages = {1860-1873},
    doi = {10.1109/TIFS.2017.2692722},
    groups = {forensics},
    }
  • L. Bondi, D. Güera, L. Baroffio, P. Bestagini, E. J. Delp, and S. Tubaro, “A Preliminary Study on Convolutional Neural Networks for Camera Model Identification,” in IS&T Electronic Imaging (EI), 2017.
    [Bibtex]
    @InProceedings{bondi2017preliminary,
    author = {L. Bondi and D. G{\"u}era and L. Baroffio and P. Bestagini and E. J. Delp and S. Tubaro},
    title = {A Preliminary Study on Convolutional Neural Networks for Camera Model Identification},
    booktitle = {IS\&T Electronic Imaging (EI)},
    year = {2017},
    groups = {forensics},
    }
  • [DOI] L. Bondi, S. Lameri, D. Güera, P. Bestagini, E. J. Delp, and S. Tubaro, “Tampering Detection and Localization Through Clustering of Camera-Based CNN Features,” in IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2017.
    [Bibtex]
    @InProceedings{bondi2017tampering,
    author = {L. Bondi and S. Lameri and D. G{\"u}era and P. Bestagini and E. J. Delp and S. Tubaro},
    title = {Tampering Detection and Localization Through Clustering of Camera-Based CNN Features},
    booktitle = {IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)},
    year = {2017},
    doi = {10.1109/CVPRW.2017.232},
    groups = {forensics},
    }
  • S. Milani, P. Bestagini, and S. Tubaro, “Video Phylogeny Tree Reconstruction Using Aging Measures,” in European Signal Processing Conference (EUSIPCO), 2017.
    [Bibtex]
    @InProceedings{milani2017video,
    author = {Milani, Simone and Bestagini, Paolo and Tubaro, Stefano},
    title = {Video Phylogeny Tree Reconstruction Using Aging Measures},
    booktitle = {European Signal Processing Conference (EUSIPCO)},
    year = {2017},
    groups = {forensics},
    }
  • S. Mandelli, L. Bondi, S. Lameri, V. Lipari, P. Bestagini, and S. Tubaro, “Inpainting-Based Camera Anonymization,” in IEEE International Conference on Image Processing (ICIP), 2017.
    [Bibtex]
    @InProceedings{mandelli2017inpainting,
    author = {Mandelli, Sara and Bondi, Luca and Lameri, Silvia and Lipari, Vincenzo and Bestagini, Paolo and Tubaro, Stefano},
    title = {Inpainting-Based Camera Anonymization},
    booktitle = {IEEE International Conference on Image Processing (ICIP)},
    year = {2017},
    groups = {forensics},
    }
  • S. Lameri, L. Bondi, P. Bestagini, and S. Tubaro, “Near-Duplicate Video Detection Exploiting Noise Residual Traces,” in IEEE International Conference on Image Processing (ICIP), 2017.
    [Bibtex]
    @InProceedings{lameri2017duplicate,
    author = {Lameri, Silvia and Bondi, Luca and Bestagini, Paolo and Tubaro, Stefano},
    title = {Near-Duplicate Video Detection Exploiting Noise Residual Traces},
    booktitle = {IEEE International Conference on Image Processing (ICIP)},
    year = {2017},
    groups = {forensics},
    }
  • J. Brogan, P. Bestagini, A. Bharati, A. Pinto, D. Moreira, K. Bowyer, P. Flynn, A. Rocha, and W. Scheirer, “Spotting the Difference: Context Retrieval and Analysis for Improved Forgery Detection and Localization,” in IEEE International Conference on Image Processing (ICIP), 2017.
    [Bibtex]
    @InProceedings{brogan2017spotting,
    author = {Brogan, J. and Bestagini, P. and Bharati, A. and Pinto, A. and Moreira, D. and Bowyer, K. and Flynn, P. and Rocha, A. and Scheirer, W.},
    title = {Spotting the Difference: Context Retrieval and Analysis for Improved Forgery Detection and Localization},
    booktitle = {IEEE International Conference on Image Processing (ICIP)},
    year = {2017},
    groups = {forensics},
    }
  • S. Verde, S. Milani, P. Bestagini, and S. Tubaro, “Audio Phylogenetic Analysis using Geometric Transforms,” in IEEE International Workshop on Information Forensics and Security (WIFS), 2017.
    [Bibtex]
    @InProceedings{verde2017audio,
    author = {Verde, Sebastiano and Milani, Simone and Bestagini, Paolo and Tubaro, Stefano},
    title = {Audio Phylogenetic Analysis using Geometric Transforms},
    booktitle = {IEEE International Workshop on Information Forensics and Security (WIFS)},
    year = {2017},
    groups = {forensics},
    }
  • L. Bondi, F. Perez-Gonzalez, P. Bestagini, and S. Tubaro, “Design of Projection Matrices for PRNU Compression,” in IEEE International Workshop on Information Forensics and Security (WIFS), 2017.
    [Bibtex]
    @InProceedings{bondi2017design,
    author = {Bondi, Luca and Perez-Gonzalez, Fernando and Bestagini, Paolo and Tubaro, Stefano},
    title = {Design of Projection Matrices for PRNU Compression},
    booktitle = {IEEE International Workshop on Information Forensics and Security (WIFS)},
    year = {2017},
    groups = {forensics},
    }
  • [DOI] D. Güera, Y. Wang, L. Bondi, P. Bestagini, S. Tubaro, and E. J. Delp, “A Counter-Forensic Method for CNN-Based Camera Model Identification,” in IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2017.
    [Bibtex]
    @InProceedings{gueera2017counter,
    author = {D. G{\"u}era and Y. Wang and L. Bondi and P. Bestagini and S. Tubaro and E. J. Delp},
    title = {A Counter-Forensic Method for CNN-Based Camera Model Identification},
    booktitle = {IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)},
    year = {2017},
    doi = {10.1109/CVPRW.2017.230},
    groups = {forensics},
    }
  • M. Barni, L. Bondi, N. Bonettini, P. Bestagini, A. Costanzo, M. Maggini, B. Tondi, and S. Tubaro, “Aligned and non-aligned double JPEG detection using convolutional neural networks,” Journal of Visual Communication and Image Representation, vol. 49, pp. 153-163, 2017.
    [Bibtex]
    @Article{barni2017aligned,
    author = {M. Barni and L. Bondi and N. Bonettini and P. Bestagini and A. Costanzo and M. Maggini and B. Tondi and S. Tubaro},
    title = {Aligned and non-aligned double {JPEG} detection using convolutional neural networks},
    journal = {Journal of Visual Communication and Image Representation},
    year = {2017},
    volume = {49},
    pages = {153-163},
    groups = {forensics},
    }

2016

  • I. Amerini, P. Bestagini, L. Bondi, R. Caldelli, M. Casini, and S. Tubaro, “Smartphone Fingerprint by Mixing Device Sensors Features,” in IS&T Electronic Imaging (EI), 2016.
    [Bibtex]
    @InProceedings{amerini2016smartphone,
    author = {Amerini, Irene and Bestagini, Paolo and Bondi, Luca and Caldelli, Roberto and Casini, Matteo and Tubaro, Stefano},
    title = {Smartphone Fingerprint by Mixing Device Sensors Features},
    booktitle = {IS\&T Electronic Imaging (EI)},
    year = {2016},
    groups = {forensics},
    }
  • P. Bestagini, M. Tagliasacchi, and S. Tubaro, “Image phylogeny tree reconstruction based on region selection,” in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2016.
    [Bibtex]
    @InProceedings{bestagini2016image,
    author = {Bestagini, P. and Tagliasacchi, M. and Tubaro, S.},
    title = {Image phylogeny tree reconstruction based on region selection},
    booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
    year = {2016},
    groups = {forensics},
    }
  • [DOI] P. Bestagini, S. Milani, M. Tagliasacchi, and S. Tubaro, “Codec and GOP Identification in Double Compressed Videos,” IEEE Transactions on Image Processing (TIP), vol. 25, pp. 2298-2310, 2016.
    [Bibtex]
    @Article{bestagini2016codec,
    author = {Bestagini, Paolo and Milani, Simone and Tagliasacchi, Marco and Tubaro, Stefano},
    title = {Codec and GOP Identification in Double Compressed Videos},
    journal = {IEEE Transactions on Image Processing (TIP)},
    year = {2016},
    volume = {25},
    pages = {2298-2310},
    doi = {10.1109/TIP.2016.2541960},
    groups = {forensics},
    }
  • [DOI] S. Lameri, P. Bestagini, and S. Tubaro, “Video alignment for phylogenetic analysis,” in European Signal Processing Conference (EUSIPCO), 2016.
    [Bibtex]
    @InProceedings{lameri2016video,
    author = {S. Lameri and P. Bestagini and S. Tubaro},
    title = {Video alignment for phylogenetic analysis},
    booktitle = {European Signal Processing Conference (EUSIPCO)},
    year = {2016},
    doi = {10.1109/EUSIPCO.2016.7760650},
    groups = {forensics},
    }
  • [DOI] S. Milani, P. Bestagini, and S. Tubaro, “Phylogenetic analysis of near-duplicate and semantically-similar images using viewpoint localization,” in IEEE International Workshop on Information Forensics and Security (WIFS), 2016.
    [Bibtex]
    @InProceedings{milani2016phylogenetic,
    author = {S. Milani and P. Bestagini and S. Tubaro},
    title = {Phylogenetic analysis of near-duplicate and semantically-similar images using viewpoint localization},
    booktitle = {IEEE International Workshop on Information Forensics and Security (WIFS)},
    year = {2016},
    doi = {10.1109/WIFS.2016.7823909},
    groups = {forensics},
    }
  • [DOI] F. O. d. Costa, S. Lameri, P. Bestagini, Z. Dias, S. Tubaro, and A. Rocha, “Hash-based frame selection for video phylogeny,” in IEEE International Workshop on Information Forensics and Security (WIFS), 2016.
    [Bibtex]
    @InProceedings{o.costa2016hash,
    author = {F. d. O. Costa and S. Lameri and P. Bestagini and Z. Dias and S. Tubaro and A. Rocha},
    title = {Hash-based frame selection for video phylogeny},
    booktitle = {IEEE International Workshop on Information Forensics and Security (WIFS)},
    year = {2016},
    doi = {10.1109/WIFS.2016.7823906},
    groups = {forensics},
    }

2015

  • F. O. Costa, S. Lameri, P. Bestagini, S. Dias, A. Rocha, M. Tagliasacchi, and S. Tubaro, “Phylogeny reconstruction for misaligned and compressed video sequences,” in IEEE International Conference on Image Processing (ICIP), 2015.
    [Bibtex]
    @InProceedings{costa2015phylogeny,
    author = {Costa, F. O. and Lameri, S. and Bestagini, P. and Dias, S. and Rocha, A. and Tagliasacchi, M. and Tubaro, S.},
    title = {Phylogeny reconstruction for misaligned and compressed video sequences},
    booktitle = {IEEE International Conference on Image Processing (ICIP)},
    year = {2015},
    groups = {forensics},
    }
  • A. Melloni, S. Lameri, P. Bestagini, M. Tagliasacchi, and S. Tubaro, “Near-duplicate detection and alignment for multi-view videos,” in IEEE International Conference on Image Processing (ICIP), 2015.
    [Bibtex]
    @InProceedings{melloni2015duplicate,
    author = {Melloni, A. and Lameri, S. and Bestagini, P. and Tagliasacchi, M. and Tubaro, S.},
    title = {Near-duplicate detection and alignment for multi-view videos},
    booktitle = {IEEE International Conference on Image Processing (ICIP)},
    year = {2015},
    groups = {forensics},
    }
  • [DOI] M. Mascia, A. Canclini, F. Antonacci, M. Tagliasacchi, A. Sarti, and S. Tubaro, “Forensic and anti-forensic analysis of indoor/outdoor classifiers based on acoustic clues,” in European Signal Processing Conference (EUSIPCO), 2015, pp. 2072-2076.
    [Bibtex]
    @InProceedings{mascia2015forensic,
    author = {Mascia, M. and Canclini, A. and Antonacci, F. and Tagliasacchi, M. and Sarti, A. and Tubaro, S.},
    title = {Forensic and anti-forensic analysis of indoor/outdoor classifiers based on acoustic clues},
    booktitle = {European Signal Processing Conference (EUSIPCO)},
    year = {2015},
    pages = {2072-2076},
    art_number = {7362749},
    doi = {10.1109/EUSIPCO.2015.7362749},
    groups = {audio, forensics},
    }

2014

  • M. Buccoli, P. Bestagini, M. Zanoni, A. Sarti, and S. Tubaro, “Unsupervised feature learning for bootleg detection using deep learning architectures,” in IEEE International Workshop on Information Forensics and Security (WIFS), 2014.
    [Bibtex]
    @InProceedings{buccoli2014unsupervised,
    author = {Buccoli, M. and Bestagini, P. and Zanoni, M. and Sarti, A. and Tubaro, S.},
    title = {Unsupervised feature learning for bootleg detection using deep learning architectures},
    booktitle = {IEEE International Workshop on Information Forensics and Security (WIFS)},
    year = {2014},
    groups = {forensics},
    }
  • L. Gaborini, P. Bestagini, S. Milani, M. Tagliasacchi, and S. Tubaro, “Multi-Clue Image Tampering Localization,” in IEEE International Workshop on Information Forensics and Security (WIFS), 2014.
    [Bibtex]
    @InProceedings{gaborini2014multi,
    author = {Gaborini, L. and Bestagini, P. and Milani, S. and Tagliasacchi, M. and Tubaro, S.},
    title = {Multi-Clue Image Tampering Localization},
    booktitle = {IEEE International Workshop on Information Forensics and Security (WIFS)},
    year = {2014},
    groups = {forensics},
    }
  • S. Lameri, P. Bestagini, A. Melloni, S. Milani, A. Rocha, M. Tagliasacchi, and S. Tubaro, “Who is my parent? Reconstructing video sequences from partially matching shots,” in IEEE International Conference on Image Processing (ICIP), 2014.
    [Bibtex]
    @InProceedings{lameri2014who,
    author = {Lameri, S. and Bestagini, P. and Melloni, A. and Milani, S. and Rocha, A. and Tagliasacchi, M. and Tubaro, S.},
    title = {Who is my parent? {Reconstructing} video sequences from partially matching shots},
    booktitle = {IEEE International Conference on Image Processing (ICIP)},
    year = {2014},
    groups = {forensics},
    }
  • A. Melloni, P. Bestagini, S. Milani, M. Tagliasacchi, A. Rocha, and S. Tubaro, “Image phylogeny through dissimilarity metrics fusion,” in European Workshop on Visual Information Processing (EUVIP), 2014.
    [Bibtex]
    @InProceedings{melloni2014image,
    author = {Melloni, A. and Bestagini, P. and Milani, S. and Tagliasacchi, M. and Rocha, A. and Tubaro, S.},
    title = {Image phylogeny through dissimilarity metrics fusion},
    booktitle = {European Workshop on Visual Information Processing (EUVIP)},
    year = {2014},
    groups = {forensics},
    }
  • S. Milani, P. Bestagini, M. Tagliasacchi, and S. Tubaro, “Antiforensic synthesis of motion vecotrs using template algorithms,” in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2014.
    [Bibtex]
    @InProceedings{milani2014antiforensic,
    author = {Milani, S. and Bestagini, P. and Tagliasacchi, M. and Tubaro, S.},
    title = {Antiforensic synthesis of motion vecotrs using template algorithms},
    booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
    year = {2014},
    groups = {forensics},
    }
  • S. Milani, P. Bestagini, M. Tagliasacchi, and S. Tubaro, “Demosaicing strategy identification via eigenalgorithms,” in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2014.
    [Bibtex]
    @InProceedings{milani2014demosaicing,
    author = {Milani, S. and Bestagini, P. and Tagliasacchi, M. and Tubaro, S.},
    title = {Demosaicing strategy identification via eigenalgorithms},
    booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
    year = {2014},
    groups = {forensics},
    }
  • S. Milani, P. F. Piazza, P. Bestagini, and S. Tubaro, “Audio tampering detection using multimodal features,” in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2014.
    [Bibtex]
    @InProceedings{milani2014audio,
    author = {Milani, S. and Piazza, P.F. and Bestagini, P. and Tubaro, S.},
    title = {Audio tampering detection using multimodal features},
    booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
    year = {2014},
    groups = {forensics},
    }

2013

  • P. Bestagini, S. Battaglia, S. Milani, M. Tagliasacchi, and S. Tubaro, “Detection of temporal interpolation in video sequences,” in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2013.
    [Bibtex]
    @InProceedings{bestagini2013detection,
    author = {Bestagini, P. and Battaglia, S. and Milani, S. and Tagliasacchi, M. and Tubaro, S.},
    title = {Detection of temporal interpolation in video sequences},
    booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
    year = {2013},
    groups = {forensics},
    }
  • P. Bestagini, S. Milani, M. Tagliasacchi, and S. Tubaro, “Video codec identification extending the idempotency property,” in European Workshop on Visual Information Processing (EUVIP), 2013.
    [Bibtex]
    @InProceedings{bestagini2013video,
    author = {Bestagini, P. and Milani, S. and Tagliasacchi, M. and Tubaro, S.},
    title = {Video codec identification extending the idempotency property},
    booktitle = {European Workshop on Visual Information Processing (EUVIP)},
    year = {2013},
    groups = {forensics},
    }
  • P. Bestagini, S. Milani, M. Tagliasacchi, and S. Tubaro, “Local tampering detection in video sequences,” in IEEE International Workshop on Multimedia Signal Processing (MMSP), 2013.
    [Bibtex]
    @InProceedings{bestagini2013local,
    author = {Bestagini, P. and Milani, S. and Tagliasacchi, M. and Tubaro, S.},
    title = {Local tampering detection in video sequences},
    booktitle = {IEEE International Workshop on Multimedia Signal Processing (MMSP)},
    year = {2013},
    groups = {forensics},
    }
  • P. Bestagini, M. Visentini-Scarzanella, M. Tagliasacchi, P. L. Dragotti, and S. Tubaro, “Video recapture detection based on ghosting artifact analysis,” in IEEE International Conference on Image Processing (ICIP), 2013.
    [Bibtex]
    @InProceedings{bestagini2013videoa,
    author = {Bestagini, P. and Visentini-Scarzanella, M. and Tagliasacchi, M. and Dragotti, P.L. and Tubaro, S.},
    title = {Video recapture detection based on ghosting artifact analysis},
    booktitle = {IEEE International Conference on Image Processing (ICIP)},
    year = {2013},
    groups = {forensics},
    }
  • P. Bestagini, M. Zanoni, L. Albonico, A. Paganini, A. Sarti, and S. Tubaro, “Feature-Based Classification for Audio Bootlegs Detection,” in IEEE International Workshop on Information Forensics and Security (WIFS), 2013.
    [Bibtex]
    @InProceedings{bestagini2013feature,
    author = {Bestagini, P. and Zanoni, M. and Albonico, L. and Paganini, A. and Sarti, A. and Tubaro, S.},
    title = {Feature-Based Classification for Audio Bootlegs Detection},
    booktitle = {IEEE International Workshop on Information Forensics and Security (WIFS)},
    year = {2013},
    groups = {forensics},
    }
  • A. Melloni, P. Bestagini, A. Costanzo, M. Barni, M. Tagliasacchi, and S. Tubaro, “Attacking image classification based on Bag-of-Visual-Words,” in IEEE International Workshop on Information Forensics and Security (WIFS), 2013.
    [Bibtex]
    @InProceedings{melloni2013attacking,
    author = {Melloni, A. and Bestagini, P. and Costanzo, A. and Barni, M. and Tagliasacchi, M. and Tubaro, S.},
    title = {Attacking image classification based on Bag-of-Visual-Words},
    booktitle = {IEEE International Workshop on Information Forensics and Security (WIFS)},
    year = {2013},
    groups = {forensics},
    }

2012

  • P. Bestagini, A. Allam, S. Milani, M. Tagliasacchi, and S. Tubaro, “Video codec identification,” in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2012.
    [Bibtex]
    @InProceedings{bestagini2012video,
    author = {Bestagini, P. and Allam, A. and Milani, S. and Tagliasacchi, M. and Tubaro, S.},
    title = {Video codec identification},
    booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
    year = {2012},
    groups = {forensics},
    }
  • P. Bestagini, M. Fontani, S. Milani, M. Barni, A. Piva, M. Tagliasacchi, and S. Tubaro, “An overview on video forensics,” in European Signal Processing Conference (EUSIPCO), 2012.
    [Bibtex]
    @InProceedings{bestagini2012overview,
    author = {Bestagini, P. and Fontani, M. and Milani, S. and Barni, M. and Piva, A. and Tagliasacchi, M. and Tubaro, S.},
    title = {An overview on video forensics},
    booktitle = {European Signal Processing Conference (EUSIPCO)},
    year = {2012},
    groups = {forensics},
    }
  • S. Milani, P. Bestagini, M. Tagliasacchi, and S. Tubaro, “Multiple compression detection for video sequences,” in IEEE International Workshop on Multimedia Signal Processing (MMSP), 2012.
    [Bibtex]
    @InProceedings{milani2012multiple,
    author = {Milani, S. and Bestagini, P. and Tagliasacchi, M. and Tubaro, S.},
    title = {Multiple compression detection for video sequences},
    booktitle = {IEEE International Workshop on Multimedia Signal Processing (MMSP)},
    year = {2012},
    groups = {forensics},
    }
  • S. Milani, M. Fontani, P. Bestagini, M. Barni, A. Piva, M. Tagliasacchi, and S. Tubaro, “An overview on video forensics,” APSIPA Transactions on Signal and Information Processing, vol. 1, p. e2, 2012.
    [Bibtex]
    @Article{milani2012overview,
    author = {Milani, S. and Fontani, M. and Bestagini, P. and Barni, M. and Piva, A. and Tagliasacchi, M. and Tubaro, S.},
    title = {An overview on video forensics},
    journal = {APSIPA Transactions on Signal and Information Processing},
    year = {2012},
    volume = {1},
    pages = {e2},
    groups = {forensics},
    }

2011

  • [DOI] L. An, P. Wang, A. Sarti, F. Antonacci, and J. Shi, “Hyperbolic boiler tube leak location based on quaternary acoustic array,” Applied Thermal Engineering, vol. 31, pp. 3428-3436, 2011.
    [Bibtex]
    @Article{an2011hyperbolic,
    author = {An, L. and Wang, P. and Sarti, A. and Antonacci, F. and Shi, J.},
    title = {Hyperbolic boiler tube leak location based on quaternary acoustic array},
    journal = {Applied Thermal Engineering},
    year = {2011},
    volume = {31},
    pages = {3428-3436},
    doi = {10.1016/j.applthermaleng.2011.06.028},
    groups = {audio, forensics},
    }

2007

  • F. Antonacci, L. Gerosa, A. Sarti, S. Tubaro, and G. Valenzise, “Sound-based classification of objects using a robust fingerprinting approach,” in European Signal Processing Conference (EUSIPCO), 2007, pp. 2321-2325.
    [Bibtex]
    @InProceedings{antonacci2007sound,
    author = {Antonacci, F. and Gerosa, L. and Sarti, A. and Tubaro, S. and Valenzise, G.},
    title = {Sound-based classification of objects using a robust fingerprinting approach},
    booktitle = {European Signal Processing Conference (EUSIPCO)},
    year = {2007},
    pages = {2321-2325},
    groups = {audio, forensics},
    }
  • L. Gerosa, G. Valenzise, M. Tagliasacchi, F. Antonacci, and A. Sarti, “Scream and gunshot detection in noisy environments,” in European Signal Processing Conference (EUSIPCO), 2007, pp. 1216-1220.
    [Bibtex]
    @InProceedings{gerosa2007scream,
    author = {Gerosa, L. and Valenzise, G. and Tagliasacchi, M. and Antonacci, F. and Sarti, A.},
    title = {Scream and gunshot detection in noisy environments},
    booktitle = {European Signal Processing Conference (EUSIPCO)},
    year = {2007},
    pages = {1216-1220},
    groups = {audio, forensics},
    }
  • [DOI] G. Valenzise, L. Gerosa, M. Tagliasacchi, F. Antonacci, and A. Sarti, “Scream and gunshot detection and localization for audio-surveillance systems,” in IEEE Conference on Advanced Video and Signal Based Surveillance, 2007, pp. 21-26.
    [Bibtex]
    @InProceedings{valenzise2007scream,
    author = {Valenzise, G. and Gerosa, L. and Tagliasacchi, M. and Antonacci, F. and Sarti, A.},
    title = {Scream and gunshot detection and localization for audio-surveillance systems},
    booktitle = {IEEE Conference on Advanced Video and Signal Based Surveillance},
    year = {2007},
    pages = {21-26},
    art_number = {4425280},
    doi = {10.1109/AVSS.2007.4425280},
    groups = {audio, forensics},
    }