A contrario mosaic analysis for image forensics
Q Bammey - International Conference on Advanced Concepts for …, 2023 - Springer
With the advent of recent technologies, image editing has become accessible even without
expertise. However, this ease of manipulation has given rise to malicious manipulation of …
expertise. However, this ease of manipulation has given rise to malicious manipulation of …
Assessing gender bias in predictive algorithms using explainable AI
C Manresa-Yee, S Ramis - … of the XXI International Conference on …, 2021 - dl.acm.org
Predictive algorithms have a powerful potential to offer benefits in areas as varied as
medicine or education. However, these algorithms and the data they use are built by …
medicine or education. However, these algorithms and the data they use are built by …
Jade owl: Jpeg 2000 forensics by wavelet offset consistency analysis
Q Bammey - 2023 8th International Conference on Image …, 2023 - ieeexplore.ieee.org
In a world teeming with digital images, the credibility of visual data has become of
paramount importance. While it is now simpler than ever to manipulate an image for …
paramount importance. While it is now simpler than ever to manipulate an image for …
Reducing False Alarms in Video Surveillance by Deep Feature Statistical Modeling
Detecting relevant changes is a fundamental problem of video surveillance. Because of the
high variability of data and the difficulty of properly annotating changes, unsupervised …
high variability of data and the difficulty of properly annotating changes, unsupervised …
Statistical modeling of deep features reduces false alarms in video change detection
Detecting relevant changes is a fundamental problem of video surveillance. Because of the
high variability of data and the difficulty of properly annotating changes, unsupervised …
high variability of data and the difficulty of properly annotating changes, unsupervised …
Haar descriptors preliminary sampling
A Dashkov, O Khaleiev - Multimedia Tools and Applications, 2023 - Springer
The selection of meaningful features for training computer vision solutions is the most
important part of a robust framework construction. A huge amount of possible features with …
important part of a robust framework construction. A huge amount of possible features with …
[PDF][PDF] Change detection in video and image time series
XB Hernandez - pure.tue.nl
Change detection is the ability to detect semantically meaningful temporal anomalies, and is
a trivial task for humans. However, it is a fundamental problem in computer vision due to the …
a trivial task for humans. However, it is a fundamental problem in computer vision due to the …