Jacques Blanc-Talon

• Doctor of Engineering
• Research Scientist at University of Paris-Sud

This is our next conference.

Over the past two decades, hyperspectral imaging has become popular for non-destructive assessment of food quality, safety, and crop monitoring. Imaging delivers spatial information to complement the spectral information provided by spectroscopy. The key challenge with hyperspectral image data is the high dimensionality. Each image captures hundred...

These proceedings gather the selected papers of the Advanced Concepts for Intelligent Vision Systems (ACIVS) conference which was held in Kumamoto, Japan from August, 21 to August 22, 2023.

Editorial of the ICAE journal issue.

This book constitutes the proceedings of the 20th INternational Conference on Advanced Concepts for Intelligent Vision Systems, ACIVS 2020, held in Auckland, New Zealand, in February 2020. The 48 papers presented in this volume were carefully reviewed and selected from a total of 78 submissions. They were organized in topical sections named: deep...

This book constitutes the refereed proceedings of the 19th International Conference on Advanced Concepts for Intelligent Vision Systems, ACIVS 2018, held in Poitiers, France, in September 2018. The 52 full papers presented in this volume were carefully reviewed and selected from 91 submissions. They were organized in topical sections named: video...

Erratum to: J. Blanc-Talon et al. (Eds.) Advanced Concepts for Intelligent Vision Systems DOI: 10.1007/978-3-319-02895-8

This book constitutes the refereed proceedings of the 18th International Conference on Advanced Concepts for Intelligent Vision Systems, ACIVS 2017, held in Antwerp, Belgium, in September 2017. The 63 full papers presented in this volume were carefully selected from 134 submissions. They deal with human-computer interaction; classification and rec...

In the field of video protection, selective encryption (SE) is a scheme which ensures the visual security of a video by encrypting only a small part of the data. This paper presents a new SE algorithm for H.264/AVC videos in context-adaptive variable-length coding mode. This algorithm controls the amount of encrypted alternative coefficients (ACs)...

We introduce a new constrained minimization problem that performs template and pattern detection on a multispectral image in a compressive sensing context. We use an original minimization problem from Guo and Osher that uses $L_1$ minimization techniques to perform template detection in a multispectral image. We first adapt this minimization proble...

In the field of video protection, selective encryption (SE) is a scheme which ensures the visual security of a video by en-crypting only a small part of the data. This paper presents a new SE algorithm for H.264/AVC videos in CAVLC mode. This algorithm controls the amount of encrypted alternative coefficients (AC) of the integer transform in the en...

This paper adapts a new template matching and target detection algorithm in multispectral images to a compressive sensing strategy. That template matching algorithm found in [1] relies on particular properties of L1 minimization algorithms to succeed. We propose a new algorithm that is reconstructing in a single step the location of a given signatu...

The methods for estimating the bathymetry from multispectral and hyperspectral remote sensing can be classified into different categories, mainly including empirical methods, radiative transfer inversion methods, and methods based on differential spectroscopy concepts. Empirical methods need a lot of field truth data and are mainly used in the mult...

In the field of video protection, selective encryption (SE) is a scheme which ensures a visual security of video by encrypting a small part of data. This paper presents a new SE algorithm for H.264/AVC in CAVLC mode. This algorithm controls the amount of encrypted alternative coefficients (AC) of the integer transform in the entropic encoder. Two v...

In this paper, we present various bathymetric filters, based on the well-known matched filter (MF), adaptive MF, and adaptive cosine/coherence estimator detectors, for underwater target detection from hyperspectral remote-sensing data. In the case of unknown water characteristics, we also propose the GLRT-based bathymetric filter, which is a genera...

Dans le domaine scientifique de la protection de vidéo comprimée, le chiffrement sélectif est une méthode qui permet de conserver une confidentialité des vidéos tout en chiffrant seulement une petite partie des données. Cet article propose un nouvel algorithme de chiffrement sélec-tif pour le standard vidéo H.264/AVC en mode de compression entropiq...

In thi paper, we present various bathymetric filters, based on the well-known MF, AMF and ACE detectors, for underwater detection from hyperspectral remote sensing data. In the case of unknown water characteristics, we also propose the GBF, a GLRT-based filter that estimates these parameters and detects at the same time. The results of this estimat...

This book constitutes the thoroughly refereed proceedings of the 14th International Conference on Advanced Concepts for Intelligent Vision Systems, ACIVS 2012, held in Brno, Czech Republic, in September 2012. The 46 revised full papers were carefully selected from 81 submissions and deal with image analysis and computer vision with a focus on detec...

In this paper we present a new approach of selective encryption (SE) of video. SE is currently applied to video codec H.264/AVC in order to perform confidentiality and preserve bitrate and data size of the underlying video sequence. Our approach analyzes, each macro-block of a given video sequence, separately before its entropy encoding. In this wa...

In this paper we propose a new approach to protect video sequences while using selective encryption (SE) and reducing the encryption ratio (ER). Several methods of SE have been applied to video codec H.264/AVC in CAVLC mode in order to perform confidentiality, bit-rate, and data-size of protected video-sequences. In our scheme, SE-CAVLC is used but...

exécutif L'informatique et les TIC (Technologies de l'Information et de la Communication) sont des technologies diffusantes qui se retrouvent dans l'ensemble des objets, services et échanges de la vie moderne. Au coeur de ces technologies, le logiciel est une composante essentielle de toute innovation. Le Web unifie l'accès à toutes les données et...

This book constitutes the refereed proceedings of the 13th International Conference on Advanced Concepts for Intelligent Vision Systems, ACIVS 2011, held in Ghent, Belgium, in August 2011. The 66 revised full papers presented were carefully reviewed and selected from 124 submissions. The papers are organized in topical sections on classification re...

In this paper, we present the use of differential geometry for the segmentation of multispectral images, which allows us to unify several known methods including projecting onto a particular axis or a particular plan. This is done by choosing a metric tensor on the feature space computing the pullback of the metric tensor and applying standard Di Z...

This paper considers the problem of unsupervised spectral unmixing for hyperspectral image analysis. Each observed pixel is assumed to be a noisy linear mixture of pure material spectra, namely, endmembers. The mixing coefficients, usually called abundances, are constrained to positive and summed to unity. The proposed unmixing approach is based on...

When observing a scene horizontally at a long distance in the near-infrared domain, degradations due to atmospheric turbulence often occur. In our previous work, we presented two hybrid methods to restore videos degraded by such local perturbations. These restoration algorithms take advantages of a space-time Wiener filter and a space-time regulari...

A generalized multidimensional Wiener filter for denoising is adapted to hyperspectral images (HSIs). multidimensional wiener filtering (MWF) uses the signal subspace of each n -mode flattening matrix of the HSI, which is a third-order tensor. However, in the HSI case, the n -mode ranks are close to the n -mode dimensions. Thus, the signal subspace...

This book constitutes the refereed proceedings of the 11th International Conference on Advanced Concepts for Intelligent Vision Systems, ACIVS 2009, held in Bordeaux, France in September/October 2009. The 43 revised full papers and 25 posters presented were carefully reviewed and selected from 115 submissions. The papers are organized in topical se...

Semifragile watermarking can be used to detect illegal and local manipulation, while being robust toward legal processings such as lossy compression. The aim of this work is twofold: 1) we first formalize this semifragile authentication problem by proposing an appropriate payoff: by considering the watermark as an integrity stamp (i.e., its detecta...

Multicomponent sensors are more and more developed since they allow to measure simultaneously several parameters. Thus, new kind of processing have been developed for some years. In this paper, we are particularly concerned with tensor signal processing for noise removal in multidimensional images. We adapt a PARAFAC based method to remove noise fr...

This paper presents a new multidimensional filtering method for multidimensional images impaired by correlated Gaussian noise. Instead of matrices or vectors, multidimensional images are considered as multidimensional arrays also called tensors. Some noise removal techniques consist in vectorizing or matricizing multidimensional data. That could le...

In hyperspectral image (HSI) analysis, classification requires spectral dimensionality reduction (DR). While common DR methods use linear algebra, we propose a multilinear algebra method to jointly achieve denoising reduction and DR. Multilinear tools consider HSI data as a whole by processing jointly spatial and spectral ways. The lower rank-(K<su...

A generalized multidimensional Wiener filter for denoising is adapted to hyperspectral images (HSIs). multidimensional wiener filtering (MWF) uses the signal subspace of each n -mode flattening matrix of the HSI, which is a third-order tensor. However, in the HSI case, the n -mode ranks are close to the n -mode dimensions. Thus, the signal subspace...

This book constitutes the refereed proceedings of the 10th International Conference on Advanced Concepts for Intelligent Vision Systems, ACIVS 2008, held in Juan-les-Pins, France, in October 2008. The 33 revised full papers and 69 posters presented were carefully reviewed and selected from 179 submissions. The papers are organized in topical sectio...

Hyperspectral images (HSI) are multidimensional and multicomponent data with a huge number of spectral bands. To improve classifiers efficiency the principal component analysis (PCA), referred to as PCA dr , the maximum noise fraction (MNF) and more recently the independent compo-nent analysis (ICA) are the most commonly used techniques for dimensi...

Target detection in hyperspectral images (HSI) in one of the most common applications. But the classical detection algorithms are sensitive to noise. It is crucial to well restore the spectral signature in order to decrease the noise dependence of the detection algorithm. In this paper, we propose a restoration method which takes advantage of spati...

Hyperspectral images (HSI) are multidimensional and multicomponent data with a huge number of spectral bands providing spectral redundancy. To improve the efficiency of the classifiers the principal component analysis (PCA), referred to as PCA dr , the maximum noise fraction (MNF) and more recently the independent component analysis (ICA), referred...

Previous studies have shown that multi-way Wiener filtering improves the restoration of tensors impaired by an additive white Gaussian noise. Multi-way Wiener filtering is based on the distinction between noise and signal subspaces. In this paper, we show that the lower is the signal subspace dimension, the better is the restored tensor. To reduce...

Quantization-based schemes, such as scalar distortion compensated quantization index modulation (DC-QIM), have demonstrated some performance merits in data hiding, which is mainly a transmission problem. However, a number of applications can be stated in terms of the watermark detection problem (also named zero-bit watermarking), and this situation...

When observing an object horizontally at a long distance, degradations due to atmospheric turbulence often occur. Different methods have already been tested to get rid of this kind of degradation, especially on infrared sequences. It has been shown that the Wiener filter applied locally on each frame of a sequence allows to obtain good results in t...

When observing an object horizontally at a long distance, degradations due to atmospheric turbulence often occur. In our previous work, we tried different methods to get rid of these degradations on infrared sequences. We showed that the Wiener filter applied locally on each frame of a sequence allows to obtain good results in terms of edges, while...

A new multidimensional modeling of data has recently been introduced, which can be used a wide range of signals. This paper presents multiway filtering for denoising hyperspectral images. This approach is based on a tensorial modeling of the desired information. The optimization criterion used in this multiway filtering is the minimization of the m...

The main image degradation occuring in long distance ground-to-ground infrared video acquisition is due to atmospheric turbulence. The turbulence strength essentially depends on climatic conditions and on the distance between the scene and the camera. Atmospheric turbulence can show dramatically different effects, but in the case of horizontal obse...

In the integrity checking context of multimedia contents, a ma- licious user aims at devising a forged content in order to fool a watermarker by making him use as a genuine content. By consid- ering that the watermark acts as an integrity stamp, the false-alarm probability to recover the watermark signature in a forged content is the criterion of i...

This paper investigates asymptotically optimal scalar quantiz- ers to address QIM watermark detection with i.i.d. host data and additive noise. False-alarm probability of detection is chosen as the cost to be minimized, keeping the embedding distortion and the miss probability upper-bounded. To avoid the intractability of false-alarm probability, K...

Quantization-based schemes, such as scalar DC-QIM, have demonstrated performance merits for data-hiding problem, which is mainly a transmission problem. However, a number of applications are stated in terms of watermark detection problem (also named one-bit watermarking), and this situation has been seldom addressed in the literature for quantizati...

We study model-based restoration of ground-to-ground images. Such images may show strong degradations due to non-linear atmospheric turbulence effects and therefore, any efficient restoration method must take into account some modelling of the turbulence. The first part of the paper is devoted to the realistic simulation of single frames and image...

Semi-fragile watermarking can be used to detect illegal and local manipulation of images, while being robust towards legal manipulations such as lossy compression. This paper describes a game-theoretic approach to design a blind semi-fragile watermarking system based on the scalar costa scheme. A natural choice for the game criterion is a false ala...

been made between the different obtained results. To conclude some perspectives are given. Atmospheric perturbation is certainly the most important degradation when observing a scene horizontally at a distance of several kilometers. Because such images with short time exposure are expensive to obtain, they have to be simulated. The goal of this pap...

This paper deals with information processing for military applications in the case of multiple sensors and related information. Recent results on the detection of camouflage targets are detailed. Putting apart this specific application, the related techniques can be used in the framework of mission planning and help assessing the efficiency of new...

Nowadays, low-cost portable lasers are efficient and powerful enough to be easily used against video cameras or robot sensors. They can make expensive military optronics ineffective on the battlefield and may jeopardize the current mission. When a camera is hit by a laser beam, the light is diffracted and reflected within the device which becomes i...

This article deals with new restoration algorithms of strongly degraded videos. Degradations appears either as missing data in every image or as a large magnitude impulse noise. The proposed algorithm is based upon a partial differential equation formalism coming from recent works on image inpainting and video sequence restoration. It use a D rep...

In the remote sensing domain, the combination of multi-scale satellite data appears as a new challenge for the signal processing community. This approach will lead to strong advances in Earth monitoring and continental land cover classifications by use ...

This paper deals with the automatic evaluation of segmentation algorithms; the application framework is automatic target recognition within the specific case of infrared images of military vehicles. The approach consists in approximating the edges with generic B-spline functions; since the problem stated like this is too general, we use a spline te...

This chapter deals with the problem of texture approximation by means of a multifractal model allowing the unsupervised segmentation of real world images. By extending multinomial measures, a new class of self-similar multifractal measures is developed for this purpose. Two multifractal features have been shown to be suitable for texture discrimina...

Cet article traite de la restauration de séquences d'images ayant subies de fortes dégradations. Celles-ci apportent un bruit additif de grande amplitude et des pertes d'information importantes dans plusieurs images successives. Plusieurs méthodes variationnelles à base de minimisation d'énergies sont proposées afin de restaurer ce type d'images.

After intense dazzling as in the case of laser impacting, the output of a CCD camera shows a bright spot surrounded by highvariance noise in the middle of the remaining image. On the one hand, this spot is merely a wide saturated region which cannot be restored without any model or additional information. Most of the approaches consist in replacing...

By extending multinomial measures, a new class of self-similar multifractal measures is developed for texture representation. Two multifractal features have been shown to be suitable for texture discrimination and classification. Their use within a supervised segmentation framework provides us with satisfactory results. In this paper we complete th...

. Encodings of self-similar fractal curves as sequences of symbols (or words) are considered. Since a more accurate coding requires longer words, a fractal curve is thus the limit of a sequence of words. If this sequence can be modelled as the language of a DOL-system, then the adherence of the language is the expected limit. DOL-systems are too re...

A new method for simulating and rendering explosion phenomena is presented. It is based on an improvement of the SPH (Smoothed Particle Hydrodynamics) model introduced by Monaghan. Choosing polynomial kernel functions allows to approximate the attenuation term and compute an analytical solution for the illumination integral in the ray-tracing algor...

This paper describes a grammatical 2D-pattern recognition process. In order to build the inference process on stable features of the object being studied, we set up a new type of grammars, so-called TLS-grammars. Attributes and related operators on chains, which are defined in this 2D-application as particular links between confirmed segments, are...

A new interpolating scheme derived from a spline-based approximation framework is studied in this paper. Subdivision matrices are used whose entries are tuned for fitting local and global geometrical conditions. In particular, this process can generate fractal curves whose dimension can be adjusted to the self-affine dimension of the data set. A me...

A preprocessing for giving fractal compression algorithms their full power is proposed. Assuming that IFSs should work much better on self-affine images, it consists in segmenting an image according to the fractal dimension in order to compress subimages showing a constant dimension. First, a dimension map of the image is computed by using a Fast D...

Any one-dimensional cellular automata is considered as a black box whose input/output (I/O) behavior is analyzed by using Principal Component Analysis (PCA). PCA computes the best subspace which maximizes the projection of the I/O patterns onto principal axis. Stability of the components is shown which leads to a linearization of the CA regardless...

The approximation of natural terrain from sparse data sets is addressed and a fractal approximation scheme based on an initial spline interpolation is proposed. The approximating part is compelled to have the same fractal dimension as the data set while the interpolating dominant part fits the data points. An algorithm for estimating the fractal di...

this paper, a new method for inferring context-free grammars from fractal data sets is presented. We focus on the inference itself and do not detail the segmentation algorithm. The first part is devoted to the review of most of the work published today on the syntactic generation of fractals; as the reader will probably notice, it seems there is a...

In the present paper, we introduce a new nonlinear operator well adapted to various processing and analysis on any nonuniformly sampled signals. This operator is based on the Hausdorff metric, which is very convenient for point sets comparison.

Fractal image compression still suffers from a (sometimes very) high encoding time, depending on the approach being used. Here, we propose a new recursive algorithm based on Jacquin's general scheme. A numerical predicate is used for guessing which domain block may possibly match a given range block. For a simple predicate based on histograms compa...

Approximate identification of coupled map lattices is considered. The local dynamics is split into a local function, expanded in Hermite’s polynomial series, and a coupling one which is the convolution product of the neighborhoods by a kernel. The local function fits the data set (an image) while the convolution kernel of the coupling function is a...

A grammatical inference algorithm is described which computes a context-free grammar interpolating fractal encodings. The fractality of the initial curve is captured by Clic symbolic partof t the algorithm while the approximationis performed by the numericalpail. Hybridization of the algorithm consists in exchanging some information between the two...

A new method for simulating and rendering explosion phenomena is presented. It is based on an improvement of the SPH (Smoothed Particle Hydrodynamics) model introduced by Monaghan. Choosing polynomial kernel functions allows to approximate the attenuation term and compute an analytical solution for the illumination integral in the ray-tracing algor...

Mots cl es : Synth ese d'images, particules liss ees, simulation , explosions. R esum e Une nouvelle m ethode pour la simulation et le rendu de ph enom enes d'explosions est pr esent ee. La m ethode de mod elisation des particules liss ees (Smoothed Particle Hydrodynamics) introduite par Monaghan est am elio-r ee. Le choix de fonctions polyn^ omial...

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This paper addresses the problem of finding structural information within fractal images so as to enhance their symbolical encoding. Multifractal edge-detection is considered as a reference for a fractal region segmentation algorithm. Regions are compared with the edges by using a Hausdorff distance operator. Curves qualifying the result according...

Encoding fractal sets as quad-trees is considered. Every node of the tree is compared to a dictionary which is recursively built. Comparison is performed by looking for self-similarity within images. Geometrical operations (rotation and rescaling) are used to match statistical moments of the images to compare. Numerical results are used to determin...