Computer Vision Enabled Multimedia Forensics and People Identification
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Publications

Recent publications

 

  1. Lin and C.-T. Li, “Large-Scale Image Clustering based on Camera Fingerprint,” IEEE Transactions on Information Forensics and Security, vol. 12, no. 4, pp. 793-1808, April 2017
  2. Antipov, S.-A. Berrani, and J.-L. Dugelay, “Minimalistic CNN-based ensemble model for gender prediction from face images,” Pattern Recognition Letters, Vol.70, 15 January 2016
  3. Gonzalez-Sosa, A. Dantcheva, R. Vera-Rodriguez, J.-L. Dugelay, F. Bremond, and J. Fierrez, “Image-based gender estimation from body and face across distances,” in Proc. 23rd International Conference on Pattern Recognition, Cancun, Mexico, December 4-8, 2016
  4. Chiesa and J.-L. Dugelay, “Impact of multi-focused images on recognition of soft biometric traits,” SPIE Optical Engineering and Applications, San Diego, USA, 28 August-1 September 2016
  5. Ruchaud and J.-L. Dugelay, “Privacy protecting, intelligibility preserving video surveillance,”  IEEE International Conference on Multimedia and Expo, Seattle, USA, July  11-15, 2016
  6. Ruchaud and J.-L. Dugelay, “Automatic face anonymization in visual data: Are we really well protected?” SPIE International Symposium on Electronic Imaging, San Francisco, USA, February14-18, 2016
  7. Lin and C.-T. Li, “Image Provenance Inference through Content-Based Device Fingerprint Analysis”, in Computational Methods in Information Security: Algorithms, Technologies and Applications, ed. by A. I. Awad, N. Yen, and M. Fairhurst, Institution of Engineering and Technology (IET), 2017
  8. Leyva, V. Sanchez, and C.-T. Li, “Fast Binary-Based Video Descriptors for Action Recognition,” in Proc. The International Conference on Digital Image Computing: Techniques and Applications (DICTA’16), Gold Coast, Australia, 30 November – 2 December, 2016
  9. T. Nguyen, T. T. Nguyen, X. C. Pham, A. W.-C. Liew, Y. Hu, T. Liang, and C.-T. Li, “A Novel Online Bayes Classifier,” in Proc. The International Conference on Digital Image Computing: Techniques and Applications (DICTA’16), Gold Coast, Australia, 30 November – 2 December, 2016
  10. Sayyed-Ali HOSSAYNI, Mohammad-R RAJATI, Esteve DEL ACEBO, Diego REFORGIATO RECUPERO, Aldo GANGEMI, Mohammad-R AKBARZADEH-T and Josep Lluis DE LA ROSA I ESTEVA, Towards Interval Version of Fuzzy Synsets, International Conference of Artificial Intelligence of ACIA, 18, November 2016
  11. Leyva, V. Sanchez, and C.-T. Li, “A Fast Binary Pair-based Video Descriptor for Action Recognition,” in Proc. IEEE International Conference on Image Processing (ICIP’16), Phoenix, Arizona, USA, 25 – 28 September, 2016
  12. Michele Nappi, Ricciardi and Massimo Tistarelli, “Deceiving faces: When plastic surgery challenges face recognition,”: Image and Vision Computing, vol. 54, pp. 71 – 82, October 2016
  13. Rauf, N. Jia, C. Song, Y. Huang, and L. Wang, “Knowledge Transfer Between Networks and Its Application on Gait Recognition”, Digital Signal Processing (2016), International Conference on, October 2016.
  14. Liang, C.-T. Li, Y. Guan and Y. Hu, “Gait Recognition based on the Golden Ratio,” EURASIP Journal on Image and Video Processing, (2016) 2016: 22. doi:10.1186/s13640-016-0126-5, Dec 2016
  15. Lin and C.-T. Li, “Refining PRNU-Based Detection of Image Forgeries,” in Proc. The 1st IEEE Digital Media & Academic Forum, Santorini, Greece, 4 -6 July, 2016
  16. Christian Rathgeb, Andreas Uhl, Peter Wild, Heinz Hofbauer, “Design Decisions for an Iris Recognition SDK. In Kevin Bowyer, Mark J. Burge, editors, Handbook of Iris Recognition, Advances in Computer Vision and Pattern Recognition, Springer, 2016
  17. Heinz Hofbauer, Andreas Uhl, “Calculating a boundary for the Significance from the Equal-Error Rate,” In Proceedings of the 9th IAPR/IEEE International Conference on Biometrics (ICB’16), pp. 1-4, 2016
  18. Victoria Ablinger, Cornelia Zenz, Jutta Hämmerle-Uhl, Andreas Uhl, “Compression Standards in Fingervein Recognition. In Proceedings of the 9th IAPR/IEEE International Conference on Biometrics (ICB’16), pp. 1-7, 2016
  19. Heinz Hofbauer, Inmaculada Tomeo-Reyes, Andreas Uhl, “Isolating Iris Template Ageing in a Semi-controlled Environment,” In Proceedings of the International Conference of the Biometrics Special Interest Group (BIOSIG’16), pp. 8, Darmstadt, Germany, September 21 – 23, 2016
  20. Martin Draschl, Jutta Hämmerle-Uhl, Andreas Uhl, “Assessment of Efficient Fingerprint Image Protection Principles using different Types of AFIS,” In Proceedings of the 18th International Conference on Information and Communications Security (ICICS’16), pp. 241-253, Singapore, Springer LNCS, 9977, November 29th – December 2nd, 2016
  21. Martin Draschl, Jutta Hämmerle-Uhl, Andreas Uhl, “ Efficient Fingerprint Image Protection Principles using Selective JPEG2000 Encryption,” In Proceedings of the 1st Workshop on Sensing, Processing and Learning for Intelligent Machines (SPLINE 2016), pp. 1-6, Aalborg, Denmark, July 6 – July 8, 2016
  22. Daniel Kocher, Stefan Schwarz, Andreas Uhl, “Empirical Evaluation of LBP-Extension Features for Finger Vein Spoofing Detection,” In Proceedings of
    the International Conference of the Biometrics Special Interest Group (BIOSIG’16), pp. 8, Darmstadt, Germany, September 21 – 23, 2016
  23. Simon Kirchgasser, Andreas Uhl, “Biometric Menagerie in Time-Span separated Fingerprint Data,” In Proceedings of the International Conference of the Biometrics Special Interest Group (BIOSIG’16), pp. 1-12, Darmstadt, Germany, September 21 – 23, 2016
  24. Christof Kauba, Emanuela Piciucco, Emanuele Maiorana, Patrizio Campisi, Andreas Uhl, “Advanced Variants of Feature Level Fusion for Finger Vein Recognition,” In Proceedings of the International Conference of the Biometrics Special Interest Group (BIOSIG’16), pp. 1-12, Darmstadt, Germany, September 21 – 23, 2016
  25. Christof Kauba, Andreas Uhl, “Fingerprint Recognition under the Influence of Sensor Ageing,” In Proceedings of the 4th International Workshop on Biometrics and Forensics (IWBF’16), pp. 1-6, Limassol, Cyprus, March 3 – March 4, 2016
  26. Christof Kauba, Andreas Uhl, “PRNU-Based Image Alignment for Defective Pixel Detection,” In Proceedings of the IEEE Eighth International Conference on Biometrics: Theory, Applications, and Systems (BTAS2016), pp. 1-6, Niagara Falls, Buffalo, New York, USA, September 6 – September 9, 2016
  27. Emanuela Piciucco, Emanuele Maiorana, Christof Kauba, Andreas Uhl, Patrizio Campisi, “Cancelable Biometrics for Finger Vein Recognition,” In Proceedings of the 1st Workshop on Sensing, Processing and Learning for Intelligent Machines (SPLINE 2016), pp. 1-6, Aalborg, Denmark, July 6 – July 8, 2016
  28. Christian Rathgeb, Heinz Hofbauer, Andreas Uhl, Christoph Busch, “TripleA: Accelerated Accuracy-preserving Alignment for Iris-Codes,” In Proceedings of the 9th IAPR/IEEE International Conference on Biometrics (ICB’16), pp. 1-8, 2016
  29. Wei and C.-T. Li, “Face Recognition Technologies for Evidential Evaluation of Video Traces,” in Biometrics in Forensic Science, ed. by M. Tistarelli and C. Champod, Springer, 2016