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 RegisterRegistration 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
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
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 WednesdayDay 1: Tuesday Dec. 6, 2022 (EST)
| Time Start | Time End | Topic | Material | |
|---|---|---|---|---|
| 8:00 AM | 11:25 AM | TRECVID 2022
TRECVID 2022 Agenda |
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| 11:25 AM | 11:35 AM | TRECVID/OpenMFC 2022 Break |
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| 11:35 AM | 11:45 AM | OpenMFC 2022 Workshop Opening Remarks Jim Horan, Group Leader, Multimodal Information Group, Information Access Division, ITL, NIST |
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| 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 |
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| 12:25 PM | 12:35 PM | Break | ||
| 12:35 PM | 13:25 PM | OpenMFC 2022 Evaluation Program Haiying Guan, Senior Computer Scientist, NIST |
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| 13:25 PM | 13:50 PM | OpenMFC 2022 Evaluation Infrastructure Lukas Diduch, Senior Software Engineer, NIST/Dakota Consulting Inc. |
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| 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 |
| 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 |