The Second International Workshop on Open Media Forensics Challenge

OpenMFC 2022 Workshop Agenda

Dec. 6 - 7, 2022



Summary

The second OpenMFC workshop (OpenMFC 2022) is in conjunction with TRECVID 2022. The TRECVID/OpenMFC workshop is a virtual event organized by teams in the Information Access Division (IAD), Information Technology Laboratory (ITL), National Institute of Standards and Technology (NIST) on Dec. 6-7, 2022.

The details of the First OpenMFC Workshop can be find in: OpenMFC 2021 workshop webpage and OpenMFC 2021 workshop agenda.


Workshop Registration

Although the workshop is designed for active participant team members in the OpenMFC program, the workshop is open to the public. We do highly encourage any researcher in academia, industry, or government to attend if they wish.

Please register for the TRECVID 2022 and OpenMFC 2022 workshops using the external link (a single registration for two workshops):

OpenMFC/TRECVID Register

Registration fee is $36.


Invited Keynote Speakers

Day 1: Tuesday Dec. 6, 2022 (EST)

Title: A Brief Overview of Recent Advancement of Generative AI and New Challenges to Deepfake Detection

Professor Jun-Cheng Chen, Research Center for Information Technology Innovation, Academia Sinica

Prof. Jun-Cheng Chen Image Abstract: The recent advancement of denoising diffusion probabilistic model and its variants have advanced the state-of-the-art performance over various content generation tasks. Tech giants, including Google, Meta, NVidia, have showcased their recent text-to-image, text-to-video, text-to-3D models and other content generation models and demonstrated astonishing generation capability. These technologies could also be abused to threaten personal privacy and information security. In this talk, we will briefly go through these recent advancements and how they bring new challenges to deepfake detection. I will also cover some recent researches of my group aganist Deepfake.

Speaker Profile: Jun-Cheng Chen is an assistant research fellow at the Research Center for Information Technology Innovation, Academia Sinica. He received the Ph.D. degree advised by Prof. Rama Chellappa in Computer Science from University of Maryland, College Park, USA, in 2016. From 2017 to 2019, he was a postdoctoral research fellow at University of Maryland Institute for Advanced Computer Studies. His research interests include computer vision, machine learning, deep learning and their applications to biometrics, such as face recognition/facial analytics, activity recognition/detection in the visual surveillance domain, etc. He was a recipient of the ACM Multimedia Best Technical Full Paper Award in 2006.


Invited Keynote Speakers

Day 2: Wednesday Dec. 7, 2022 (EST)

Title: Mobile steganography: Looking to the future

Professor Jennifer L. Newman, Iowa State University

Jennifer L. Newman Image Abstract: Humans have sent secret messages for millennia. A cousin to cryptography, steganography is the art and science of sending a secret message in the open by camouflaging the message carefully. Steganography can take many shapes, and its digital form often uses a digital image or video as a cover to hide the message. With a smartphone app, image steganography is easy to use, requires no expert knowledge of the science, and can be difficult to detect. To study mobile steganography properly, one must have a suitable database. This talk presents StegoAppDB, a database of digital photographs expressly created for studying mobile steganography, that will be used in NIST’s Open Media Forensic Challenge.

Speaker Profile: Prof. Jennifer L. Newman is Scott Hanna Faculty Fellow in Mathematics, Department of Mathematics Iowa State University. Her general research interests are applications of solutions to image processing problems using discrete mathematics. Her current research interest is in the area of forensic steganalysis, developing a standardized steganalysis dataset. Her past research interests have included the use of image algebra, genetic algorithms, artificial neural networks, stochastic processes, and optimization algorithms in areas such as image texture modeling for synthesis and classification; and image analysis - boundary detection, object recognition, and creating steganalysis feature sets. Her work is multidisciplinary and covers a broad range of topics from computer science, electrical engineering, mathematics, statistics, and machine learning techniques. She have taught many courses in mathematics, signal processing, image processing, digital image forensics, and related areas.

­­OpenMFC 2022 Workshop Agenda

­­Dec. 6 - 7, 2022

­­ Part 1: TRECVID 2022 starts at 8:00 am EST

­­ Part 2: OpenMFC 2022 starts after TRECVID in the afternoon

Tuesday Wednesday

Day 1: Tuesday Dec. 6, 2022 (EST)

Time Start Time End Topic Material
8:00 AM 11:25 AM TRECVID 2022
TRECVID 2022 Agenda
11:25 AM 11:35 AM TRECVID/OpenMFC 2022
Break
11:35 AM 11:45 AM OpenMFC 2022 Workshop Opening Remarks
Jim Horan, Group Leader, Multimodal Information Group, Information Access Division, ITL, NIST
11:45 AM 12:25 PM Invited keynote: A Brief Overview of Recent Advancement of Generative AI and New Challenges to Deepfake Detection
Prof. Jun-Cheng Chen, Research Center for Information Technology Innovation, Academia Sinica
  • Video
  • Slides
  • 12:25 PM 12:35 PM Break
    12:35 PM 13:25 PM OpenMFC 2022 Evaluation Program
    Haiying Guan, Senior Computer Scientist, NIST
  • Video
  • Slides
  • 13:25 PM 13:50 PM OpenMFC 2022 Evaluation Infrastructure
    Lukas Diduch, Senior Software Engineer, NIST/Dakota Consulting Inc.
  • Video
  • Slides
  • 13:50 PM 14:00 PM Open Discussion
    NIST OpenMFC team

    Day 2: Wednesday Dec. 7, 2022 (EST)

    Time Start Time End Topic Material
    8:20 AM 13:05 PM TRECVID 2022
    TRECVID 2022 Agenda
    13:05 PM 13:15 PM TRECVID/OpenMFC 2022
    Break
    13:15 PM 13:15 PM Invited keynote: Mobile steganography: Looking to the future
    Prof. Jennifer L. Newman, Iowa State University
  • Slides
  • 13:15 PM 13:45 PM OpenMFC 2022 Deepfakes Challenge Data
    Baptiste Chocot and Ilia Ghorbanian Bajgiran, Guest Researchers, NIST
    13:45 PM 14:00 PM OpenMFC 2022 Workshop Closing Remarks
    Yooyoung Lee, Supervisory Computer Scientist, Multimodal Information Group, Information Access Division, ITL, NIST