| Neural network approach to background modeling for video object segmentation D Culibrk, O Marques, D Socek, H Kalva, B Furht IEEE Transactions on Neural Networks 18 (6), 1614-1627, 2007 | 263 | 2007 |
| Multi-authority attribute-based encryption with honest-but-curious central authority V Božović, D Socek, R Steinwandt, VI Villányi International Journal of Computer Mathematics 89 (3), 268-283, 2012 | 152 | 2012 |
| Multimedia encryption and watermarking B Furht, E Muharemagic, D Socek Springer Science & Business Media, 2006 | 135 | 2006 |
| Short paper: Enhanced 1-d chaotic key-based algorithm for image encryption D Socek, S Li, SS Magliveras, B Furht First International Conference on Security and Privacy for Emerging Areas in …, 2005 | 110 | 2005 |
| Fundamentals of multimedia encryption techniques B Furht, D Socek, AM Eskicioglu Multimedia Security Handbook, 95-132, 2004 | 86 | 2004 |
| Content adaptive motion compensation filtering for high efficiency video coding A Puri, D Socek, CK Choi US Patent 8,761,245, 2014 | 76 | 2014 |
| New approaches to encryption and steganography for digital videos D Socek, H Kalva, SS Magliveras, O Marques, D Culibrk, B Furht Multimedia Systems 13, 191-204, 2007 | 69 | 2007 |
| Content adaptive background foreground segmentation for video coding D Socek, A Puri US Patent 9,584,814, 2017 | 62 | 2017 |
| Cryptanalysis of video encryption algorithms T Seidel, D Socek, M Sramka Proceedings of The 3rd central european conference on cryptology TATRACRYPT, 2003 | 54 | 2003 |
| Content adaptive prediction and entropy coding of motion vectors for next generation video A Puri, D Socek, CK Choi US Patent 9,762,911, 2017 | 50 | 2017 |
| Multimedia security: Encryption techniques B Furht IEC Comprehensive Report on Information Security, 335-349, 2004 | 50 | 2004 |
| Content adaptive entropy coding of modes and reference types data for next generation video A Puri, NN Gokhale, D Socek US Patent 9,609,330, 2017 | 49 | 2017 |
| Digital video encryption algorithms based on correlation-preserving permutations D Socek, S Magliveras, D Ćulibrk, O Marques, H Kalva, B Furht EURASIP journal on Information Security 2007, 1-15, 2007 | 47 | 2007 |
| A hybrid color-based foreground object detection method for automated marine surveillance D Socek, D Culibrk, O Marques, H Kalva, B Furht Advanced Concepts for Intelligent Vision Systems: 7th International …, 2005 | 46 | 2005 |
| Content adaptive quality restoration filtering for high efficiency video coding A Puri, N Gokhale, D Socok US Patent 9,462,280, 2016 | 40 | 2016 |
| Neural network approach to Bayesian background modeling for video object segmentation D Culibrk Florida Atlantic University, 2006 | 38 | 2006 |
| Content adaptive fusion filtering of prediction signals for next generation video coding A Puri, D Socek US Patent 9,942,572, 2018 | 37 | 2018 |
| Fast and robust face detection, region extraction, and tracking for improved video coding A Puri, D Socek US Patent 10,628,700, 2020 | 33 | 2020 |
| Global motion estimation and modeling for accurate global motion compensation for efficient video processing or coding D Socek, A Puri US Patent 11,070,813, 2021 | 25 | 2021 |
| System and method for highly content adaptive quality restoration filtering for video coding A Puri, D Socek, NN Gokhale US Patent App. 14/304,391, 2015 | 25 | 2015 |
Borko FurhtProfessor of Computer Science, Florida Atlantic UniversityVerified email at fau.edu
