Publications by Yannick Maret | EPFL Graph Search

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In this paper, we propose a technique for image replica detection. By replica, we mean equivalent versions of a given reference image, e.g. after it has undergone operations such as compression, filtering or resizing. Applications of this technique include discovery of copyright infringement or detection of illicit content. The technique is based on the extraction of multiple features from an image, namely texture, color, and spatial distribution of colors. Similar features are then grouped into groups and

This paper presents a fingerprinting method based on equivalence classes. An equivalence class is composed of a reference image and all its variations (or replicas). For each reference image, a decision function is built. The latter determines if a given image belongs to its corresponding equivalence class. This function is built in three steps: synthesis, projection, and analysis. In the first step, the reference image is replicated using different image operators (like JPEG compression, average filtering,

The image identification problem consists in identifying all the equivalent forms of a given reference image. An image is equivalent to the reference image, if the former results from the application of an image operator (or a composition of image operators) to the latter. Depending on the application, different sets of image operators are considered. The equivalence quantification is done in three levels. In the first level, we construct the set of equivalent images which is composed of the reference and i

In this paper, we present a system for image replica detection. The technique is based on the extraction of 162 features corresponding to texture, colour and grey-level characteristics. These features are then weighted and statistically normalized. To impr ...

Replica detection is a prerequisite for the discovery of copyright infringement and detection of illicit content. For this purpose, contentbased systems can be an efficient alternative to watermarking. Rather than imperceptibly embedding a signal, content-based systems rely on image similarity. Certain content-based systems use adaptive classifiers to detect replicas. In such systems, a suspect image is tested against every original, which can become computationally prohibitive as the number of original ima

Replica detection is a prerequisite for the discovery of copyright infringement and detection of illicit content. For this purpose, content-based systems can be an efficient alternative to watermarking. Rather than imperceptibly embedding a signal, content-based systems rely on content similarity concepts. Certain content-based systems use adaptive classifiers to detect replicas. In such systems, a suspected content is tested against every original, which can become computationally prohibitive as the number

Replica detection is an important prerequisite for the discovery of copyright infringement and detection of illicit content. For this purpose, content-based image protection can be an efficient alternative to watermarking. Rather than imperceptibly embedding a signal, content-based systems rely on image similarity. Certain content-based systems use binary classifiers to detect replicas, each classifier being fine-tuned to a particular original. However, since a suspect image has to be tested against every o

This thesis is about the detection of duplicated images. More precisely, the developed system is able to discriminate possibly modified copies of original images from other unrelated images. The proposed method is referred to as content-based since it reli ...

In this paper, we present a system for image replica detection. More specifically, the technique is based on the extraction of 162 features corresponding to texture, color and gray-level characteristics. These features are then weighted and statistically normalized. To improve training and performances, the features space dimensionality is reduced. Lastly, a decision function is generated to classify the test image as replica or non-replica of a given reference image. Experimental results show the effective

This paper presents a video-based camera tracker that combines marker-based and feature point-based cues in a particle filter framework. The framework relies on their complementary performances. Marker-based trackers can robustly recover camera position an ...

This paper presents a high-capacity method to embed information into the geometry of a 3D polygonal mesh. The method extends a previously reported work, to which several improvements have been brought. By construction, the new embedding algorithm is robust against rotation, scaling and translation attacks. Analysis of the proposed method on different meshes showed that its embedding capacity compares to that of previous high-capacity works. Furthermore, the new technique introduces only negligible amount of

This paper proposes a method to embed information into a 3D model represented by a polygonal mesh. The approach used consists in slightly changing the position of the vertices, in uencing the length of approximation of the normals to the surface. This technique exhibits relatively low complexity, and o ers robustness to simple geometric tranformations. In addition, it does not introduce any visible distortion to the original model.

This work is about the implementation of a MPEG-4 decoder for subdivision surfaces, which are powerful 3D paradigms allowing to compactly represent piecewise smooth surfaces. This study will take place in the framework of MPEG-4 AFX, the extension of the MPEG-4 standard including the subdivision surfaces. This document will introduce, with some details, the theory of subdivision surfaces in the two forms present in MPEG-4: plain and detailed/ wavelet subdivision surfaces. It will particularly concentr

Cet ouvrage dresse un etat des lieux complet des enjeux et problematiques lies a la securite des donnees et des systemes multimedia : problemes de cryptage, PKI, biometrie, dimension juridique de la securite des systemes d'information...

Yannick Maret

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Image Replica Detection based on Support Vector Classifier

Identification of Image Variations based on Equivalence Classes

Images Identification Based on Equivalence Classes

Adaptive Image Replica Detection based on Support Vector Classifiers

A Novel Replica Detection System using Binary Classifiers, R-trees, and PCA

Hierarchical Indexing using R-trees for Replica Detection

Reduced Complexity Replica Detection Systems using Binary Classifiers and R-trees

Efficient image duplicate detection based on image analysis

Image Replica Detection based on Binary Support Vector Classifier

Particle filter-based camera tracker fusing marker- and feature point-based cues

Data Hiding on 3D Polygonal Meshes

Steganography for Three-Dimensional Polygonal Meshes

Implementation of MPEG-4 s Subdivision Surfaces Tools

Enjeux de la securite multimedia