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Peter F. Michael

dblp:370/0215 · DBLP profile ↗
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1ranked-venue papers
1as first author
1since 2021 · last 2025
0000-0001-6809-2712ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-author · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Network and information security
1 paper
Digital forensics and information hiding · 100%
Computer graphics and multimedia
1 paper
Computational photography and imaging · 100%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computational photography and imaging › active illumination
coded illumination
0.912025
Noise-Coded Illumination for Forensic and Photometric Video Analysis · ACM Trans. Graph. 2025
Digital forensics and information hiding › digital forensics › multimedia forensics
video forensics
0.912025
Noise-Coded Illumination for Forensic and Photometric Video Analysis · ACM Trans. Graph. 2025

Methods — techniques the papers use, named apart from their topics

illumination coding · 1.7
YearPublicationVenuePosition
2025 Noise-Coded Illumination for Forensic and Photometric Video Analysis
abstract
The proliferation of advanced tools for manipulating video has led to an arms race, pitting those who wish to sow disinformation against those who want to detect and expose it. Unfortunately, time favors the ill-intentioned in this race, with fake videos growing increasingly difficult to distinguish from real ones. At the root of this trend is a fundamental advantage held by those manipulating media: equal access to a distribution of what we consider authentic (i.e., “natural”) video. In this paper, we show how coding very subtle, noise-like modulations into the illumination of a scene can help combat this advantage by creating an information asymmetry that favors verification. Our approach effectively adds a temporal watermark to any video recorded under coded illumination. However, rather than encoding a specific message, this watermark encodes an image of the unmanipulated scene as it would appear lit only by the coded illumination. We show that even when an adversary knows that our technique is being used, creating a plausible coded fake video amounts to solving a second, more difficult version of the original adversarial content creation problem at an information disadvantage. This is a promising avenue for protecting high-stakes settings like public events and interviews, where the content on display is a likely target for manipulation, and while the illumination can be controlled, the cameras capturing video cannot.
Peter F. Michael, Zekun Hao, Serge J. Belongie, Abe Davis
ACM Trans. Graph.1