… as video fingerprinting, have been taken to prevent this. Video fingerprinting is a technology
which maps video data to … In this paper we focus on designing a compact fingerprinting while …

… video fingerprinting algorithms in the literature are mainly based on the following categories
of features: intensity patterns, invariants in transform domains, salient visual … fingerprinting. In …

… In order to achieve fast and accurate retrieval of video copies, this paper proposes a
compact video fingerprinting based on quadruplet convolutional neural network. The algorithm …

… A notable example is the PRNU pattern, which can be regarded as a device fingerprint, …
model fingerprint, called noiseprint, where the scene content is largely suppressed and model-…

… will review the literature on image and video fingerprinting. … , “Compact video fingerprinting
via structural graphical models,… featurebased robust video fingerprinting using tensor model,” …

… construction, we develop an unsupervised deep graph model to generate fingerprints for …
feature and graph structure, we use a deep architecture composed of Graph Neural Network (…

… the most compact and discriminative fixed-length fingerprint … Galton went on to describe
fingerprint minutiae, the small … scientific observations, fingerprint recognition systems have …

… exists, it is called the fingerprint of the underlying GAN. As mentioned above, our key idea
is to model the (potential) GAN fingerprint using a hierarchical Bayesian approach in a latent …

… fingerprint database was created for our experiments using the dataset from [1] to compare
methodological differences across diverse datasets effectively. Within this virtual fingerprint …

… of fingerprint slices, we analyze the continuity using cascade gated recurrent neural networks
(… using cascade GRU networks to analyze the continuity of multiple continuous fingerprint …