Hannes is a Postdoctoral Researcher at IDLab-MEDIA. From 2017 until 2021, he pursued a PhD degree with the financial support of the Research Foundation - Flanders (FWO).
His research interests cover multimedia compression, security, and forensics. More specifically, his PhD research focused on video watermarking to trace digital pirates. He also researched image & video forgery detection, fingerprinting, perceptual hashing, optical character recognition, dense captioning, low-delay live streaming, medical image analysis and other applications.
Moreover, Hannes is enthusiastic about science communication targeted to non-experts. He won several awards, incl. the Agoriaprijs, two best poster awards (1, 2), the #ThesisThread competition, and the bronze trophy in the Vlaamse PhD Cup.
Exploration of the potential benefits Extended Reality and Virtual Reality technologies in enhancing movement quality during Return-to-Sport (RTS) assessments post Anterior Cruciate Ligament (ACL) reconstruction.
Our paper titled "Perceptual Hashing Using Multimodal AI Models" was accepted at the IEEE CTSoc Conference on Gaming, Entertainment, and Media (GEM) 2024.
We present the alpha version of COM-PRESS - An Image Manipulation Analysis Dashboard for Fact-checkers. This was also accepted as extended paper at MISDOOM 2023.
Our paper titled "Blind Deep-Learning-Based Image Watermarking Robust Against Geometric Transformations" was accepted at the IEEE International Conference on Consumer Electronics (ICCE) 2024.
Our paper "P-Frame Injection for Efficient Packet-Loss Repair in Low-Latency Video Streaming with HESP" is submitted at the IEEE International Conference on Visual Communications and Image Processing (VCIP) 2023.
Our paper "Temporal Layer Injection for Fast Bitrate Ladder Creation in Live Video Streaming" was accepted at the IEEE International Symposium on Multimedia (ISM) 2023.
Our paper titled Training Data Improvement for Image Forgery Detection using Comprint accepted at the IEEE International Conference on Consumer Electronics (ICCE) 2023.
Our paper "Mixed-Resolution HESP for More Efficient Fast Channel Switching and Packet-Loss Repair" was accepted at the Picture Coding Symposium (PCS) 2022.
Our paper titled "Fast and Blind Detection of Rate-Distortion-Preserving Video Watermarks" was accepted for presentation at the Int. Workshop on Digital Forensics (WSDF) 2022, held in conjunction with the Int. Conference on Availability, Reliability and Security (ARES) 2022.
Our paper titled "Watermarking for Large-Scale Video Distribution through Out-of-the-Loop Frame Replacement" was accepted at the European Workshop on Visual Information Processing (EUVIP) 2022.
Our paper titled Comprint - Image Forgery Detection and Localization using Compression Fingerprints was accepted at the Workshop on MultiMedia Forensics in the WILD (MMForWILD) 2022, held in conjunction with the Int. Conference on Pattern Recognition (ICPR) 2022.
Our paper "Keyframe Insertion for Random Access and Packet-Loss Repair in H.264/AVC, H.265/HEVC, and H.266/VVC" was accepted at the Data Compression Conference (DCC) 2022, and our paper "A study on keyframe injection in three generations of video coding standards for fast channel switching and packet-loss repair" was accepted at Multimedia Tools and Applications.
Our paper titled "Fast Fallback Watermark Detection using Perceptual Hashes" was accepted for publication to the special issue "Recent Developments and Applications of Image Watermarking" of MDPI Electronics
The RHETORiC project will therefore design interface elements and machine learning approaches to create semi-automated tools for news editors and media audiences to identify and counter polarization and contribute constuctively to online debates.
We focus on the representation, processing, compression, and interactive delivery of emerging visual media formats in order to drive next-gen immersive experiences