Artículos de revistas sobre el tema "Deep learning for Multimedia Forensics"
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Amerini, Irene, Aris Anagnostopoulos, Luca Maiano y Lorenzo Ricciardi Celsi. "Deep Learning for Multimedia Forensics". Foundations and Trends® in Computer Graphics and Vision 12, n.º 4 (2021): 309–457. http://dx.doi.org/10.1561/0600000096.
Texto completo.., Ossama y Mhmed Algrnaodi. "Deep Learning Fusion for Attack Detection in Internet of Things Communications". Fusion: Practice and Applications 9, n.º 2 (2022): 27–47. http://dx.doi.org/10.54216/fpa.090203.
Texto completoCelebi, Naciye Hafsa, Tze-Li Hsu y Qingzhong Liu. "A comparison study to detect seam carving forgery in JPEG images with deep learning models". Journal of Surveillance, Security and Safety 3, n.º 3 (2022): 88–100. http://dx.doi.org/10.20517/jsss.2022.02.
Texto completoHussain, Israr, Dostdar Hussain, Rashi Kohli, Muhammad Ismail, Saddam Hussain, Syed Sajid Ullah, Roobaea Alroobaea, Wajid Ali y Fazlullah Umar. "Evaluation of Deep Learning and Conventional Approaches for Image Recaptured Detection in Multimedia Forensics". Mobile Information Systems 2022 (15 de junio de 2022): 1–10. http://dx.doi.org/10.1155/2022/2847580.
Texto completoPremanand Ghadekar, Vaibhavi Shetty, Prapti Maheshwari, Raj Shah, Anish Shaha y Vaishnav Sonawane. "Non-Facial Video Spatiotemporal Forensic Analysis Using Deep Learning Techniques". Proceedings of Engineering and Technology Innovation 23 (1 de enero de 2023): 01–14. http://dx.doi.org/10.46604/peti.2023.10290.
Texto completoFerreira, Sara, Mário Antunes y Manuel E. Correia. "Exposing Manipulated Photos and Videos in Digital Forensics Analysis". Journal of Imaging 7, n.º 7 (24 de junio de 2021): 102. http://dx.doi.org/10.3390/jimaging7070102.
Texto completoParkhi, Abhinav y Atish Khobragade. "Review on deep learning based techniques for person re-identification". 3C TIC: Cuadernos de desarrollo aplicados a las TIC 11, n.º 2 (29 de diciembre de 2022): 208–23. http://dx.doi.org/10.17993/3ctic.2022.112.208-223.
Texto completoFerreira, Sara, Mário Antunes y Manuel E. Correia. "A Dataset of Photos and Videos for Digital Forensics Analysis Using Machine Learning Processing". Data 6, n.º 8 (5 de agosto de 2021): 87. http://dx.doi.org/10.3390/data6080087.
Texto completoMeshchaninov, Viacheslav Pavlovich, Ivan Andreevich Molodetskikh, Dmitriy Sergeevich Vatolin y Alexey Gennadievich Voloboy. "Combining contrastive and supervised learning for video super-resolution detection". Keldysh Institute Preprints, n.º 80 (2022): 1–13. http://dx.doi.org/10.20948/prepr-2022-80.
Texto completoJiang, Jianguo, Boquan Li, Baole Wei, Gang Li, Chao Liu, Weiqing Huang, Meimei Li y Min Yu. "FakeFilter: A cross-distribution Deepfake detection system with domain adaptation". Journal of Computer Security 29, n.º 4 (18 de junio de 2021): 403–21. http://dx.doi.org/10.3233/jcs-200124.
Texto completoDureja, Aman y Payal Pahwa. "Image retrieval techniques: a survey". International Journal of Engineering & Technology 7, n.º 1.2 (28 de diciembre de 2017): 215. http://dx.doi.org/10.14419/ijet.v7i1.2.9231.
Texto completoChen, Shu-Ching. "Multimedia Deep Learning". IEEE MultiMedia 26, n.º 1 (1 de enero de 2019): 5–7. http://dx.doi.org/10.1109/mmul.2019.2897471.
Texto completoMainoo, Bernard. "Digital Multimedia Tampering Detection for Forensics Analysis". Advances in Multidisciplinary and scientific Research Journal Publication 1, n.º 1 (22 de julio de 2022): 81–90. http://dx.doi.org/10.22624/aims/crp-bk3-p14.
Texto completoDodoo, Herbert Cyril. "Deep Learning (DL) Oriented Forensic Analysis". Advances in Multidisciplinary and scientific Research Journal Publication 1, n.º 1 (26 de julio de 2022): 321–28. http://dx.doi.org/10.22624/aims/crp-bk3-p51.
Texto completoChen, Shu-Ching. "Multimedia Meets Deep Reinforcement Learning". IEEE MultiMedia 29, n.º 3 (1 de julio de 2022): 5–7. http://dx.doi.org/10.1109/mmul.2022.3196479.
Texto completoZhang, Wei, Ting Yao, Shiai Zhu y Abdulmotaleb El Saddik. "Deep Learning–Based Multimedia Analytics". ACM Transactions on Multimedia Computing, Communications, and Applications 15, n.º 1s (23 de febrero de 2019): 1–26. http://dx.doi.org/10.1145/3279952.
Texto completoOta, Kaoru, Minh Son Dao, Vasileios Mezaris y Francesco G. B. De Natale. "Deep Learning for Mobile Multimedia". ACM Transactions on Multimedia Computing, Communications, and Applications 13, n.º 3s (10 de agosto de 2017): 1–22. http://dx.doi.org/10.1145/3092831.
Texto completoYang, Pengpeng, Daniele Baracchi, Rongrong Ni, Yao Zhao, Fabrizio Argenti y Alessandro Piva. "A Survey of Deep Learning-Based Source Image Forensics". Journal of Imaging 6, n.º 3 (4 de marzo de 2020): 9. http://dx.doi.org/10.3390/jimaging6030009.
Texto completoZHAO, Wei, Pengpeng YANG, Rongrong NI, Yao ZHAO y Haorui WU. "Security Consideration for Deep Learning-Based Image Forensics". IEICE Transactions on Information and Systems E101.D, n.º 12 (1 de diciembre de 2018): 3263–66. http://dx.doi.org/10.1587/transinf.2018edl8091.
Texto completoUlloa, Carlos, Dora M. Ballesteros y Diego Renza. "Video Forensics: Identifying Colorized Images Using Deep Learning". Applied Sciences 11, n.º 2 (6 de enero de 2021): 476. http://dx.doi.org/10.3390/app11020476.
Texto completoEkhande, Sonali, Uttam Patil y Kshama Vishwanath Kulhalli. "Review on effectiveness of deep learning approach in digital forensics". International Journal of Electrical and Computer Engineering (IJECE) 12, n.º 5 (1 de octubre de 2022): 5481. http://dx.doi.org/10.11591/ijece.v12i5.pp5481-5592.
Texto completoBourouis, Sami, Roobaea Alroobaea, Abdullah M. Alharbi, Murad Andejany y Saeed Rubaiee. "Recent Advances in Digital Multimedia Tampering Detection for Forensics Analysis". Symmetry 12, n.º 11 (1 de noviembre de 2020): 1811. http://dx.doi.org/10.3390/sym12111811.
Texto completoCarvalho, Tiago Jose de, Helio Pedrini y Anderson De Rezende Rocha. "Visual Computing and Machine Learning Techniques for Digital Forensics". Revista de Informática Teórica e Aplicada 22, n.º 1 (18 de mayo de 2015): 128. http://dx.doi.org/10.22456/2175-2745.49492.
Texto completoChellappa, Rama, Diego Gragnaniello, Chang-Tsun Li, Francesco Marra y Richa Singh. "Guest Editorial: Adversarial Deep Learning in Biometrics & Forensics". Computer Vision and Image Understanding 208-209 (julio de 2021): 103227. http://dx.doi.org/10.1016/j.cviu.2021.103227.
Texto completoEom, So-Jeong, Hyun-Soo Kim y Hae-Yeoun Lee. "Audio Forensics for Smartphone Recording Detection using Deep Learning". Journal of Korean Institute of Information Technology 20, n.º 7 (31 de julio de 2022): 103–9. http://dx.doi.org/10.14801/jkiit.2022.20.7.103.
Texto completoKarie, Nickson M., Victor R. Kebande y H. S. Venter. "Diverging deep learning cognitive computing techniques into cyber forensics". Forensic Science International: Synergy 1 (2019): 61–67. http://dx.doi.org/10.1016/j.fsisyn.2019.03.006.
Texto completoGudnavar, Anand, Preetam Anvekar, Shraddha Sambrekar y Tejashwini Pallakke. "Survey on Detection of Manipulated Multimedia in Digital Forensics Using Machine Learning". Journal of Cyber Security in Computer System 2, n.º 1 (10 de enero de 2023): 13–17. http://dx.doi.org/10.46610/jcscs.2023.v02i01.002.
Texto completoZhao, Xueyi, Xi Li y Zhongfei Zhang. "Multimedia Retrieval via Deep Learning to Rank". IEEE Signal Processing Letters 22, n.º 9 (septiembre de 2015): 1487–91. http://dx.doi.org/10.1109/lsp.2015.2410134.
Texto completoQi, Guo-Jun, Hugo Larochelle, Benoit Huet, Jiebo Luo y Kai Yu. "Guest Editorial: Deep Learning for Multimedia Computing". IEEE Transactions on Multimedia 17, n.º 11 (noviembre de 2015): 1873–74. http://dx.doi.org/10.1109/tmm.2015.2485538.
Texto completoQamhan, Mustafa A., Hamdi Altaheri, Ali Hamid Meftah, Ghulam Muhammad y Yousef Ajami Alotaibi. "Digital Audio Forensics: Microphone and Environment Classification Using Deep Learning". IEEE Access 9 (2021): 62719–33. http://dx.doi.org/10.1109/access.2021.3073786.
Texto completoE, Sri Vishva. "A Review on Application of Deep Learning in Cyber Forensics". International Journal for Research in Applied Science and Engineering Technology 8, n.º 7 (31 de julio de 2020): 61–62. http://dx.doi.org/10.22214/ijraset.2020.7011.
Texto completoZhu, Xinshan, Yongjun Qian, Xianfeng Zhao, Biao Sun y Ya Sun. "A deep learning approach to patch-based image inpainting forensics". Signal Processing: Image Communication 67 (septiembre de 2018): 90–99. http://dx.doi.org/10.1016/j.image.2018.05.015.
Texto completoCaldelli, Roberto, Marc Chaumont, Chang-Tsun Li y Irene Amerini. "Special issue on Deep Learning in Image and Video Forensics". Signal Processing: Image Communication 75 (julio de 2019): 199–200. http://dx.doi.org/10.1016/j.image.2019.05.005.
Texto completoThammaiah, Chethana Hadya y Trisiladevi Chandrakant Nagavi. "An approach to partial occlusion using deep metric learning". International Journal of Informatics and Communication Technology (IJ-ICT) 10, n.º 3 (1 de diciembre de 2021): 204. http://dx.doi.org/10.11591/ijict.v10i3.pp204-211.
Texto completoSatoh, Shin'ichi. "Multimedia Retrieval and the Impact of Deep Learning". Brain & Neural Networks 26, n.º 4 (5 de diciembre de 2019): 117–22. http://dx.doi.org/10.3902/jnns.26.117.
Texto completoHayat, Khizar. "Multimedia super-resolution via deep learning: A survey". Digital Signal Processing 81 (octubre de 2018): 198–217. http://dx.doi.org/10.1016/j.dsp.2018.07.005.
Texto completoLi, Wei. "Multimedia Teaching of College Musical Education Based on Deep Learning". Mobile Information Systems 2021 (2 de abril de 2021): 1–10. http://dx.doi.org/10.1155/2021/5545470.
Texto completoCastillo Camacho, Ivan y Kai Wang. "A Comprehensive Review of Deep-Learning-Based Methods for Image Forensics". Journal of Imaging 7, n.º 4 (3 de abril de 2021): 69. http://dx.doi.org/10.3390/jimaging7040069.
Texto completoDong, Wanli, Hui Zeng, Yong Peng, Xiaoming Gao y Anjie Peng. "A deep learning approach with data augmentation for median filtering forensics". Multimedia Tools and Applications 81, n.º 8 (17 de febrero de 2022): 11087–105. http://dx.doi.org/10.1007/s11042-022-12040-w.
Texto completoBarik, Lalbihari. "Data mining approach for digital forensics task with deep learning techniques". International Journal of ADVANCED AND APPLIED SCIENCES 7, n.º 5 (mayo de 2020): 56–65. http://dx.doi.org/10.21833/ijaas.2020.05.008.
Texto completoZhang, Wei, Huiling Shi, Xinming Lu y Longquan Zhou. "A Deep Learning Solution for Multimedia Conference System Assisted by Cloud Computing". International Journal of Information Technology and Web Engineering 13, n.º 3 (julio de 2018): 85–98. http://dx.doi.org/10.4018/ijitwe.2018070106.
Texto completoZheng, Yu, Jiezhong Zhu, Wei Fang y Lian-Hua Chi. "Deep Learning Hash for Wireless Multimedia Image Content Security". Security and Communication Networks 2018 (25 de septiembre de 2018): 1–13. http://dx.doi.org/10.1155/2018/8172725.
Texto completoLiu, Qiuli, Lu Jin, Zechao Li y Jinhui Tang. "Multimedia retrieval by deep hashing with multilevel similarity learning". Journal of Visual Communication and Image Representation 59 (febrero de 2019): 150–58. http://dx.doi.org/10.1016/j.jvcir.2018.11.011.
Texto completoJeon, Gwanggil, Marco Anisetti, Ernesto Damiani y Burak Kantarci. "Artificial intelligence in deep learning algorithms for multimedia analysis". Multimedia Tools and Applications 79, n.º 45-46 (16 de julio de 2020): 34129–39. http://dx.doi.org/10.1007/s11042-020-09232-7.
Texto completoZhang, Huiying, Jinjin Guo y Guie Sun. "Multiweight Cross-Multimedia Logistics Optimal Path Exploration by Integrating High-Dimensional Deep Learning". Advances in Multimedia 2021 (8 de diciembre de 2021): 1–6. http://dx.doi.org/10.1155/2021/1474341.
Texto completoWang, Xinyi, He Wang y Shaozhang Niu. "An Intelligent Forensics Approach for Detecting Patch-Based Image Inpainting". Mathematical Problems in Engineering 2020 (28 de octubre de 2020): 1–10. http://dx.doi.org/10.1155/2020/8892989.
Texto completoWang, Jiayu, Hongquan Wang, Xinshan Zhu y Pengwei Zhou. "A Deep Learning Approach in the DCT Domain to Detect the Source of HDR Images". Electronics 9, n.º 12 (3 de diciembre de 2020): 2053. http://dx.doi.org/10.3390/electronics9122053.
Texto completoRhee, Kang Hyeon. "Composition of Visual Feature Vector Pattern for Deep Learning in Image Forensics". IEEE Access 8 (2020): 188970–80. http://dx.doi.org/10.1109/access.2020.3029087.
Texto completoFerraro, Antonino, Vincenzo Moscato y Giancarlo Sperlì. "Deep Learning-Based Community Detection Approach on Multimedia Social Networks". Applied Sciences 11, n.º 23 (2 de diciembre de 2021): 11447. http://dx.doi.org/10.3390/app112311447.
Texto completoLu, Yujiang, Yaju Liu, Jianwei Fei y Zhihua Xia. "Channel-Wise Spatiotemporal Aggregation Technology for Face Video Forensics". Security and Communication Networks 2021 (27 de agosto de 2021): 1–13. http://dx.doi.org/10.1155/2021/5524930.
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