Image and Video Forgery Detection

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• Dr. M.K. Bhowmik and his research team is actively involved in the domain of Multimedia Forensics (i.e., forgery detection in Images and Videos). Detection of forgery is a very challenging task itself. Moreover, detecting the forgery in multimedia content (i.e., image/ video) becomes more complicated when fraud occurs in outdoor scenarios. In the outdoor scenarios, forgery detection is challenging because outdoor images often suffer from limited visibility due to low light or other associated particles in the air that scatter the light in the atmosphere. There is still a massive performance degradation of imaging devices under inclement weather, which poses a challenge to digital media forgery detection applications.

• Scope:

• Our Contribution in the Proposed Domain:

  Designing of Object Splicing Video Dataset in Degraded Atmospheric/ Weather Conditions:
  Main contributive features of the designed Outdoor Degraded Spliced Video Dataset (ODSVD) are:

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  Figure 1. Some of the Sample Images of Outdoor Degraded Spliced Video Dataset (ODSVD).

• Featured Article(s) in the Proposed Domain:
  
  
  1. Santanu Das, Sourav Dey Roy, Priya Saha and Mrinal Kanti Bhowmik, "FvFc-Net: Forged Video Frame Classification Network", Accepted in 11th International Symposium on Applied Computing for Software and Smart Systems (ACSS-2024), Organized by Department of Computer Science & Engineering & A. K. Choudhury School of Information Technology University of Calcutta, India, will be held on July 19 - 20, 2024
  2. Saswata Sarkar, Sourav Dey Roy, Santanu Das, Priya Saha and Mrinal Kanti Bhowmik, "Applicability of Heavily Compressed JPEG Tampered Images in Social Media and Supervised Machine Learning towards Detection of Forgery", Accepted in 3rd International Conference on Advancement in Electrical and Electronic Engineering (ICAEEE-2024), Organized by Department of EEE, DUET, Gazipur, Bangladesh, will be held on April 25 - 27, 2024
  3. Joydeep Roy, Sourav Dey Roy, Santanu Das, and Mrinal Kanti Bhowmik, "Supervised Anti-Forensic DNN to Detect Multiple-time Compressed JPEG Tampered Images", Accepted in 3rd International Conference on Advancement in Electrical and Electronic Engineering (ICAEEE-2024), Organized by Department of EEE, DUET, Gazipur, Bangladesh, will be held on April 25 - 27, 2024
  4. Santanu Das, Sourav Dey Roy and Mrinal Kanti Bhowmik, "A Methodological Survey on Fake Data Generation in Multimedia Forensics", in IEEE Region 10 Symposium (TENSYMP-2022) Conference, IIT-Bombay, Mumbai, India, held on 1^st-3^rd July, 2022, Published by IEEE on 29^th Aug, 2022. DOI: 10.1109/TENSYMP54529.2022.9864441