Résumé : The slides were taken on collecting trips sponsored by the William L. Bryant Foundation, where books, music and art indigenous to the regions were gathered. The are organized by geographical location.
In Trinidad and Tobago, cocoa production is monitored by the Cocoa and Coffee Industry Board, which was established in 1961. Cocoa, used to make chocolate, is a traditional export crop in the country. Buildings like those pictured would be used for processing, drying, sorting, and storing cocoa beans. In this image, several children and adults can be found in the yard near buildings on the cocoa plantation. The buildings are made with wood and have zinc paneled roofs, some of the steps are made of concrete. The level flat area between the buildings on the far right would be used to dry cocoa beans. The beans would be spread out evenly on this area, then raked and turned so that beans were exposed to the sun for adequate drying. Slide labeled Cocoa Plantation Trinidad.
Trinidad and Tobago -- South America -- Trinidad
Trinidad and Tobago -- Caribbean region -- Trinidad

Droits : All rights to images are held by the respective holding institution. This image is posted publicly for non-profit educational uses, excluding printed publication. For permission to reproduce images and/or for copyright information contact Special Collections & University Archives, University of Central Florida Libraries, Orlando, FL 32816 phone (407) 823-2576, email: speccoll@mail.ucf.edu
CFM1972_01a
http://ufdc.ufl.edu/AA00031228/00001

Éditeur(s) : George A. Smathers Libraries, University of Florida George A. Smathers Libraries, University of Florida ( Gainesville, FL )
Résumé : Many publishers, scholarly contributors, and others often contribute born-digital PDFs where they do not want the PDFs available online. In cases where contributors are granting permissions for page view image views enabled (JPG, JP2, JPGthumbnails) and not the PDF, they are granting permissions to allow the item to be easily viewed online but not easily printed in high quality. This document explains the digital curation workflow processing for these needs.

Droits : [cc0] The author dedicated the work to the Commons by waiving all of his or her rights to the work worldwide under copyright law and all related or neighboring legal rights he or she had in the work, to the extent allowable by law.
http://ufdc.ufl.edu/AA00017119/00037

Résumé : The slides were taken on collecting trips sponsored by the William L. Bryant Foundation, where books, music and art indigenous to the regions were gathered. The are organized by geographical location.
Part of the “sugar works” yard at the Good Hope Plantation in Trelawny, Jamaica. Sugar cane would be processed in the sugar mill and the juice would then be carried across the river in an aqueduct which ran along the bridge to the factory, where sugar was made. In the foreground of the image is a stone wall and wire fence. Slide labeled Bridge Hope Plantation.
Jamaica -- Caribbean region -- Falmouth, Trelawny

Droits : All rights to images are held by the respective holding institution. This image is posted publicly for non-profit educational uses, excluding printed publication. For permission to reproduce images and/or for copyright information contact Special Collections & University Archives, University of Central Florida Libraries, Orlando, FL 32816 phone (407) 823-2576, email: speccoll@mail.ucf.edu
CFM1972_01a
http://ufdc.ufl.edu/AA00030985/00001

Éditeur(s) : Yale University
Résumé : Sea-surface temperature images of the coastal upwelling regions off Northwest Africa show that the core of upwelling is sometimes located far from the coast. This has been documented in three regions that share a common feature, namely a wide and shallow continental shelf. This upwelling feature plays a key role in the ecology of the Canary Current System. It creates an innerfront which provides retention for biological material, e.g. fish eggs and larvae, in the highly productive nearshore environment. An analytical model has been developed based on a two dimensional extension of Ekman's solution. The linear and steady response of a homogeneous ocean forced by an upwelling-favorable wind provides a mechanism for the upwelling separation from the coast. The merging of the surface and bottom Ekman layers induces a very weak cross-shore circulation and a "kinematic barrier" for the Ekman transport divergence. In the case of an alongshore wind, the barrier is located near the isobath h ≈ 0.4D, where D is the thickness of Ekman layers. This yields an upwelling cell which is essentially concentrated in the region 0.5D < h < 1.25D, with upwelling occurring preferentially near the isobath h ≈ 0.6D. It turns out that the cross-shore width of upwelling scales with D/S, the ratio of Ekman depth to bottom topographic slope. The application of this solution to real bathymetric profiles rationalizes, not only the offshore upwelling observations in Northwest Africa, but also the influence of topography on the cross-shelf structure of a wind-driven coastal upwelling. The model also quantifies the effect of the cross-shore wind component showing how it drives the nearshore pressure gradient adjustment and how it affects the upwelling. A linear numerical experiment reproduces the theoretical steady solution, thereby allowing investigation of the transient regime. Relaxation of the hypothesis in the numerical model validates the linear assumption of the theory and then allows investigation of the sensitivity to friction parameterizations and the influence of stratification. The latter leads to an "oscillation" of the upwelling cell with seaward migration driven by outcropping and homogeneization of the water column, and, coastal incursion driven by a "boundary layers splitting" process caused by shoreward advection of the isopycnal dome and stratification of the inner shelf.
Journal of Marine Research (Yale University), 2008-09 , Vol. 66 , N. 5 , P. 589-616

Droits : 2008 Yale University
http://archimer.ifremer.fr/doc/2008/publication-6334.pdf
DOI:10.1357/002224008787536790
http://archimer.ifremer.fr/doc/00000/6334/

Éditeur(s) : HAL CCSD Hong Kong : World Academic Publishing
Résumé : International audience
In automatic image analysis, when using natural images, it is important to select the elements in a scene that can lead to correct characterization. Extraneous elements can result in poor values in the parameter evaluation for recognition. Irrelevant elements also increase the processing time, because they can be used incorrectly by the algorithms for characterization or identification. The goal of this paper is to offer identification algorithms and characterizations that will allow effective recognition. We base our procedure on the photographer focus areas to identify those relevant elements in a scene. In this work, we propose a procedure to select the relevant shape from natural images. The treatment uses focal depth with edge detectors. The resulting points are combined with a region partition to obtain relevant shapes.
ISSN: 2309-0650

hal-01278550
https://hal.archives-ouvertes.fr/hal-01278550

Éditeur(s) : N. D. Thompson Publishing Co. N. D. Thompson Publishing Co. ( [New York] )
Résumé : "Direct reproduction from colored photograph by the new colortype (or natural color) process. Plate is from v. 1 of Our islands and their people : as seen with camera and pencil / ed. and arranged by William S. Bryan.
Digital image. 2005. 300 ppi rgb tif.
All rights reserved by the source institution.
Nueva Gerona, Isla de Pinos (Cuba)

Droits : All rights reserved by the source institution.
1997-361-2
http://ufdc.ufl.edu/AA00010491/00001

Éditeur(s) : George A. Smathers Libraries, University of Florida George A. Smathers Libraries, University of Florida ( Gainesville, FL )
Résumé : Internal processing information including using the SMaRT Tool (SobekCM Management and Reporting Tool) for batch pulling high resolution JP2 (JPEG2000) images.

Droits : [cc0] The author dedicated the work to the Commons by waiving all of his or her rights to the work worldwide under copyright law and all related or neighboring legal rights he or she had in the work, to the extent allowable by law.
http://ufdc.ufl.edu/AA00017119/00024

Éditeur(s) : HAL CCSD
Résumé : Given the technological development of embedded satellite sensors, the potential of available satellite images increases so that the question now arises of their most efficient exploitation possible. This is the purpose of the CARTAM-SAT project to fluidize the processing workflow from satellite images to users. The thesis is part of this framework.Processing operations relating to images have evolved over the years. Low-resolution images were processed by a so-called pixel approach while the high-resolution has allowed the development of a so-called object approach. The latter focuses on analysing not about the isolated pixels, but about groups of pixels representative of concrete objects on the ground. Thus, in principle, these are groups of pixels with a domain-specific remote sensing semantics.Along with satellite imagery, knowledge representation has evolved. The standards of representation have benefited from the expansion of the web to give rise to standards like OWL. This one is widely based on description logics that allow the use of automated reasoners able to infer implicit knowledge.This thesis is at the junction of these two sciences and provides an ontological approach for analysing satellite images. The aim is to formalize different types of knowledges and conceptualizations implicitly used by image processing programs and by remote sensing experts, and then reasoning automatically on an image description to obtain one semantic interpretation.This general principle may have numerous technical variations. The implementation consisted in a prototype combining a satellite image analysis library and an ontology-based reasoner. The implementation proposed in the thesis allows to explore four technical variations of the principle that lead to discussions on the complementarity of pixel and object analysis paradigms, the representation of some of the spatial relations and the role of knowledge in relation to processing.
Étant donnée l'évolution technologique des capteurs embarqués à bord des satellites, le potentiel d'images satellitaires accessible s'accroît de telle manière que se pose maintenant la question de son exploitation la plus efficace possible. C'est l'objectif du projet CARTAM-SAT que de fluidifier la chaîne de traitement depuis les satellites jusqu'aux utilisateurs des images. La thèse s'inscrit dans ce cadre. Les traitements relatifs aux images ont évolué au cours des années. Les images basse résolution étaient traitées par une approche dite pixel alors que la haute résolution a permis le développement d'une approche dite objet. Cette dernière s'attache à analyser non plus des pixels isolés, mais des groupes de pixels représentatifs d'objets concrets sur le terrain. Ainsi, en principe, ces groupes de pixels sont dotés d'une sémantique propre au domaine de la télédétection. La représentation des connaissances a évolué parallèlement aux images satellitaires. Les standards de représentation ont profité de l'expansion du web pour donner naissance à des standards comme OWL. Celui-ci repose en grande partie sur les logiques de description qui permettent l'utilisation de raisonneurs automatiques capables d'inférer une connaissance implicite.Cette thèse se place à la jonction de ces deux sciences et propose une approche ontologique d'analyse des images satellitaires. Il s'agit de formaliser différents types de connaissances et de conceptualisations implicitement utilisés par les logiciels de traitement d'image et par les experts en télédétection, puis de raisonner automatiquement sur la description d'une image pour en obtenir une interprétation sémantique.Ce principe général est susceptible de nombreuses déclinaisons techniques. La mise en œuvre a consisté en la réalisation d'un prototype alliant une bibliothèque d'analyse d'images satellitaires et un raisonneur basé sur les ontologies. L'implémentation proposée dans la thèse permet d'explorer quatre déclinaisons techniques du principe qui mènent à des discussions sur la complémentarité des paradigmes d'analyse pixel et objet, la représentation de certaines relations spatiales et la place de la connaissance par rapport aux traitements.
https://tel.archives-ouvertes.fr/tel-00998692

NNT : 2013MON20059
tel-00998692
https://tel.archives-ouvertes.fr/tel-00998692
https://tel.archives-ouvertes.fr/tel-00998692/document

Éditeur(s) : HAL CCSD
Résumé : En traitement d'image, avant toute exploitation de résultats d'une segmentation d'image, il est souvent nécessaire de réaliser une opération de fusion. Le but est de créer une partition formée de composantes connexes, modélisant les objets présents dans l'image. La segmentation initiale des images est souvent obtenue par l'exploitation d'attributs de bas-niveau (couleur, texture, forme...). La théorie Gestalt permet de prendre en compte des informations d'un niveau supérieur qui s'appuient sur l'organisation spatiale des objets et groupement d'objets initialement segment'es. Dans cet article, nous proposons une méthode de fusion de régions. L'originalité des travaux repose sur l'ajout d'un nouveau critère qui, associé aux critères Gestalt, permet de prendre en compte les objets jugés d'intérêt par le photographe, c'est-'a-dire les objets aux contours nets. Les régions associées aux objets d'intérêts seront alors préservées alors que les régions floues ou aux contours flous, situées dans l'arrière-plan, auront tendance 'a fusionner entre elles.
Journée du GdR Mathématique de l'Optimisation et Application (MOA)
Saint-François, Guadeloupe

hal-00706538
https://hal.archives-ouvertes.fr/hal-00706538

Éditeur(s) : HAL CCSD Springer Verlag
Résumé : 17 pages, 11 figures.
International audience
The problem addressed in this paper is the automatic extraction of names from a document image. Our approach relies on the combination of two complementary analyses. First, the image-based analysis exploits visual clues to select the regions of interest in the document. Second, the textual-based analysis searches for name patterns and low-level word textual features. Both analyses are then combined at the word level through a neural network fusion scheme. Reported results on degraded documents such as facsimile and photocopied technical journals demonstrate the interest of the combined approach.
ISSN: 1433-7541

hal-00329459
https://hal.archives-ouvertes.fr/hal-00329459
DOI : 10.1007/s10044-006-0038-6

Éditeur(s) : HAL CCSD
Résumé : The presence of biological matter (biofilms) in deep geological sites for storage of, for instance, toxic elements or groundwater in aquifers was clearly proved. That biomass triggers physical and chemical processes which greatly modify the durability and the sustainability of the sites. These processes, mainly from oxidative/reductive reactions, are poorly understood. This is mainly due to the fact that former studies were done at the macroscopic level far away from the micrometric scale where relevant processes induced by bacteria take place. Investigations at microscopic level are needed. Thus, we developed an experimental set-up based on the combined use of optical microscopy (transmission), atomic force microscopy (AFM) and electrical and electro-chemical AFM microscopy (EC_AFM) in order to get simultaneous information on topographic and electro-chemical processes. The first highly sensitive step was to use AFM with biological samples in liquid environment: wepresent here a study about AFM imaging of living, moving or self-immobilized bacteria, in their genuine physiological liquid medium and in true in vivo conditions. No external immobilization protocol, neither chemical nor mechanical was needed. For the first time, the native gliding movements of Gram negative Nostoc cyanobacteria upon the surface were studied by AFM. AFM height and mechanical stiffness data were simultaneously acquired. From these, mechanical parameters, inner turgor pressure and Young modulus, were derived for different bacterial species (Anabaenopsis circularis, Rhodococcus wratislaviensis). Our study revealed that AFM imaging is thus possible on moving living species. These results open a large window on new studies of both dynamical phenomena of practical and fundamental interests such as the formation of biofilms and dynamic properties of bacteria in real physiological conditions. The second delicate step was to combine AFM and optical measurements with electrical ones. We mounted a new experimental set-up coupling real-time (i) monitoring of optical properties as the optical density (OD) evolution related to bulk bacterial growth in liquid or as the counting of number of bacteria adhering on the surface of the sample as well and (ii) electrical and electrochemical measurements. Furthermore, these results will shortly be applied to the optimized monitoring of the in-situ activity of bacteria consuming oil pollutants, following this way, in real-time, the bioremediation of an oilcontaminated soil (ANR ECOTECH_BIOPHY program).
La présence de matière biologique (biofilms) dans les sites de stockage géologique profond, d'éléments toxiques ou encore de l'eau potable des aquifères est maintenant clairement démontrée. Cette biomasse est à l'origine de processus physiques et chimiques qui modifient considérablement la durabilité et la pérennité des sites concernés. Ces processus, principalement de type oxydo-réductif, sont encore mal compris. Ceci est principalement dû aux méthodes d'investigation, principalement macroscopiques, loin de l'échelle micrométrique caractéristique des bactéries. Seules des études, basées sur des méthodes d'investigation locale, peuvent apporter les informations requises. Ainsi, nous avons développé un dispositif expérimental basé sur l'utilisation combinée de la microscopie optique (en transmission), la microscopie à force atomique (AFM) et la microscopie AFM en mode électrique et électrochimique (EC_AFM) afin d'obtenir des informations simultanées sur la topographie de l'échantillon et sur les processus électrochimiques à l'échelle des bactéries. La première étape sensible consistait à utiliser l'AFM sur des échantillons biologiques en milieu liquide: nous présentons ici les résultats de l'imagerie AFM en milieu liquide de plusieurs types de bactéries dans leurs conditions physiologiques naturelles (conditions in vivo). Aucun protocole d'immobilisation, ni chimique ni mécanique, n'a été nécessaire; et pour la première fois, les mouvements de reptation de cyanobactéries Nostoc ont été étudiés par l'AFM. Les études AFM ont permis d'acquérir des données topographiques mais aussi mécaniques : nous avons pu ainsi mesurer le module d'Young, la pression de turgescence de différentes souches bactériennes (Anabaenopsis circularis, Rhodococcus wratislaviensis). Cette étude complète, a révélé que l'imagerie AFM est donc possible sur des espèces vivantes en mouvement. Ces résultats ouvrent une grande fenêtre sur de nouvelles études d'intérêts tels que la formation de biofilms et les propriétés dynamiques de bactéries dans des conditions physiologiques réelles. La deuxième étape délicate était de combiner l'AFM aux mesures optiques et électriques. Nous avons développé un nouveau dispositif expérimental permettant (i) le suivi de l'évolution de la croissance bactérienne par la mesure des propriétés optiques comme la densité optique DO (pour le développement bactérien en volume - milieu planctonique) , ou l'analyse de l'image du substrat par comptage du nombre de bactéries sur la surface de l'échantillon (biofilm), et (ii) les mesures électriques et électrochimiques. L'ensemble de ces résultats sera prochainement appliqué au développement de nouveaux outils de surveillance d'une biodépollution de terrain contaminé par les hydrocarbures, par le suivi in situ et en temps réel de l'activité de bactéries dépolluantes (ECOTECH_BIOPHY ANR).
https://tel.archives-ouvertes.fr/tel-01044714

tel-01044714
https://tel.archives-ouvertes.fr/tel-01044714
https://tel.archives-ouvertes.fr/tel-01044714/document
https://tel.archives-ouvertes.fr/tel-01044714/file/theseDhahri2013.pdf

Éditeur(s) : HAL CCSD
Résumé : Ce travail traite de " l'identification de plantes à partir d'images numériques, par champs de gradients ", provenant de capteurs de types variés. Nous avons choisi des méthodes de type global, afin de pré-segmenter efficacement l'image d'une plante. Parmi ces méthodes, celle du Mean Shift permet de s'acquitter des tâches de paramétrisation, mais présente l'inconvénient d'une forte complexité de calcul. Nous proposons deux méthodes pour résoudre ce problème : le Mean Shift avec changement d'échelle et le Mean Shift Markovien dont le but est de limiter le traitement systématique de tous les pixels par la partie Mean Shift. L'application de ces méthodes permet d'obtenir une partition de l'image dans laquelle on recherche les groupes de pixels, matérialisant les parties d'une plante focalisée par le photographe. Pour mettre en évidence ces zones, nous exploitons : la netteté des formes, la position et la densité spatiale des objets dans une image, afin de construire des masques qui représentent les parties d'une plante. À partir de ces masques, nous extrayons un ensemble de caractéristiques issu de la botanique descriptive, regroupé en trois catégories : la colorimétrie, la morphologie et le structurel. Nos choix méthodologiques sont expérimentés sur une base de données d'images, pour obtenir un ensemble de valeurs de caractéristiques appelées descripteurs. Ces descripteurs sont fournis à un système de classeurs basé sur des algorithmes génétiques, afin d'obtenir des règles désignant chaque type de plantes. L'objectif de ces règles est d'associer un score de ressemblance à chaque image de la base de données, en fonction de l'image soumise comme requête au système de reconnaissance.
Journées d'Études et de recherche des Antilles et de la Guyane
Pointe-à-Pitre, Guadeloupe

hal-00637788
https://hal.archives-ouvertes.fr/hal-00637788

Éditeur(s) : HAL CCSD
Résumé : International audience
This paper shows the information criteria (IC) performances in feature selection framework. Feature selection aims to select a representative subset among a wide set of features. We apply this approach to classify an hand segmented image. The performance is tested using various feature selection schemes (SFS, SBS, SFFS and SBFS) to select the candidate subsets. The accuracy of the approach is based on a good quality of the joint probability density approximation of the combined features. They are obtained using histogram optimized thanks to the adaptive arithmetic coding principles. Our approach is tested on different reference data. The subsets quality is evaluated using correct classification rate computed on multiple classifiers. Results show stability and convergence properties of this tool and its ability to select representative subsets (in the sense that the subset of feature is a good characterization of the classes in which the data belong). Information Criteria could be used for feature selection as a good alternative to other criteria.
CISP Proceedings
Shangay, China

hal-00634749
https://hal.archives-ouvertes.fr/hal-00634749

Éditeur(s) : Inter-research
Résumé : Exploitation of Trochus niloticus is important for Pacific islanders. The shell yields valuable mother of pearl of wich 2.000 tons were exported from New Caledonia in 1978. Knowledge of the exploitable stock requires a good estimate of the surface area occupied by this gastropod which colonises dead coral reefs. Because trochus environments in New Caledonia are very extensive and access is difficult, synoptic methods of estimation are called for. High resolution remote sensing appears to be a particularly suitable method. Simulation of images to be obtained from the French SPOT satellite was carried out in New Caledonia in decemlber 1983. This paper deals with the method used to process the digital high resolution images that will be produced by SPOT. Results are presented as thematic maps of the main reef environment types, with their respective surface areas. Among hard reef bottom covers, the trochus environment was finely analysed and areas identified were compared with ground truth observations and with areial photograph interpretation. The potential usefulness of high resolution SPOT images is confirmed for thematic mapping and evaluation of shallow living reef resources.
Marine Ecology Progress Series (0171-8630) (Inter-research), 1986-12 , Vol. 34 , N. 3 , P. 243-249

Droits : Inter Research/Printed in F. R. Germany
http://archimer.ifremer.fr/doc/00090/20084/17721.pdf
DOI:10.3354/meps034243
http://archimer.ifremer.fr/doc/00090/20084/

Éditeur(s) : HAL CCSD
Résumé : International audience
We propose in this article a color image segmentation technique based on an optimization of the Mean Shift method. It consists in classifying clusters of data points of a digital image, it does not require any preliminary designation of the number of classes and of their centers. The Mean Shift method applied to a digital color image creates a new image made up of aggregates of points belonging to a finished number of color classes. The complexity of this method based on a global approach of the image is in O(NxN), N being the number of pixels of the image. Our idea consists in applying a change of scale to the image to be segmented, to reduce the quantity of information and, in using a median filter to decrease the number of colors to minimize the complexity of the latter. The comparative study which we present shows that the optimization which we proposed gives better, reliable results than the classic use of the Mean Shift method.
Complex, Intelligent and Software Intensive Systems, International Conference
Cracovie, Poland

hal-00508427
https://hal.archives-ouvertes.fr/hal-00508427
DOI : 10.1109/CISIS.2010.62

Éditeur(s) : HAL CCSD
Résumé : International audience
The segmentation of digital images of plants is a tricky operation. In the example of a plant image on a unhomogeneous background, i.e. taken in its environment, the colorimetric diversity of the elements of a scene or the large number of forms can amplify the phenomena of over-segmentation. Global segmentation methods such as Mean Shift are then in this case the ones which will give the best results. These methods take into account the totality of the pixels of an image before classifying a point. On the other hand, complexity is increased, because it is necessary to go through the whole image treated, in order to find the mode of the point which one wishes to classify. In this article, we plan to couple the global segmentation with a local method which would take over in the event of obvious classification of a given point. The Mean Shift method is used for this purpose in association with Markov's chains.
Applied Imagery Pattern Recognition (AIPR)
Washington DC, United States

hal-00637143
https://hal.archives-ouvertes.fr/hal-00637143
DOI : 10.1109/AIPR.2011.6176338

Éditeur(s) : HAL CCSD IEEE
Résumé : International audience
This paper proposes a novel automated approach for the categorization of cells in fluorescence microscopy images. Our supervised classification method aims at recognizing patterns of unlabeled cells based on an annotated dataset. First, the cell images need to be indexed by encoding them in a feature space. For this purpose, we propose tailored bio-inspired features relying on the distribution of contrast information. Then, a supervised learning algorithm is proposed for classifying the cells. We carried out experiments on cellular images related to the diagnosis of autoimmune diseases, testing our classification method on the HEp-2 Cells dataset of Foggia et al (CBMS 2010). Results show classification precision larger than 96% on average, thus confirming promising application of our approach to the challenging application of cellular image classification for computer-aided diagnosis.
ICPR 2012
Tsukuba, Japan

hal-00958856
https://hal.archives-ouvertes.fr/hal-00958856
https://hal.archives-ouvertes.fr/hal-00958856/document
https://hal.archives-ouvertes.fr/hal-00958856/file/icpr_2012.pdf

Éditeur(s) : HAL CCSD
Résumé : This paper presents the experimental results obtained for an automatic detection of ships in High Resolution optical satellite images. Our images are panchromatic SPOT 5 images, whose resolution is 5m per pixel. Our detection method is part of an industrial project of maritime surveillance. It is based on the Bayesian decision theory and does not need any preprocessing.The detection is composed of three stages. The first one is a pre-detection of targets that gives us candidates. The second one is a precise segmentation of each candidate. The third one is a classification of candidates into three classes : real small targets, real big targets and false alarms. The two first stages are based on the bayesian theory, using a very simple image model that leads to very fast algorithms. For now, the classification is based on multivariate decision tree. Finally, the overall results of the method are given for a set of images, as close as possible to the operational conditions and show the performances of the proposed method (detection of almost all the ships, false alarms due to crests of waves and an acceptable computing time).
Journée Nationale de Photogrammétrie et Télédétection

hal-00601854
https://hal.archives-ouvertes.fr/hal-00601854

Éditeur(s) : HAL CCSD
Résumé : International audience
In this paper, we investigate image segmentation by region merging. Given any similarity measure between regions , satisfying some weak constraints, we give a general predicate for answering if two regions are to be merged or not during the segmentation process. Our predicate is generic and has six properties. The first one is its inde-pendance with respect to the similarity measure, that leads to a user-independant and adaptative predicate. Second, it is non-parametric, and does not rely on any assumption concerning the image. Third, due to its weak constraints, knowledge may be included in the predicate to fit better to the user's behaviour. Fourth, provided the similarity is well-chosen by the user, we are able to upperbound one type of error made during the image segmentation. Fifth, it does not rely on a particular segmentation algorithm and can be used with almost all region-merging algorithms in various application domains. Sixth, it is calculated quickly, and can lead with appropriated algorithms to very efficient segmentation.
10th IEEE International Conference on Tools with Artificial Intelligence
Taipei, Taiwan

lirmm-01168371
https://hal-lirmm.ccsd.cnrs.fr/lirmm-01168371
https://hal-lirmm.ccsd.cnrs.fr/lirmm-01168371/document
https://hal-lirmm.ccsd.cnrs.fr/lirmm-01168371/file/FioNocICTAI98_Image%20Segmentation%20Using.pdf
DOI : 10.1109/TAI.1998.744885

Éditeur(s) : HAL CCSD Institute of Electrical and Electronics Engineers
Résumé : International audience
This paper presents our response to the first interna- tional challenge on Facial Emotion Recognition and Analysis. We propose to combine different types of features to automatically detect Action Units in facial images. We use one multi-kernel SVM for each Action Unit we want to detect. The first kernel matrix is computed using Local Gabor Binary Pattern histograms and a histogram intersection kernel. The second kernel matrix is computed from AAM coefficients and an RBF kernel. During the training step, we combine these two types of features using the recently proposed SimpleMKL algorithm. SVM outputs are then averaged to exploit temporal information in the sequence. To eval- uate our system, we perform deep experimentations on several key issues: influence of features and kernel function in histogram- based SVM approaches, influence of spatially-independent in- formation versus geometric local appearance information and benefits of combining both, sensitivity to training data and interest of temporal context adaptation. We also compare our results to those of the other participants and try to explain why our method had the best performance during the FERA challenge.
ISSN: 1083-4419

hal-00731864
http://hal.upmc.fr/hal-00731864
http://hal.upmc.fr/hal-00731864/document
http://hal.upmc.fr/hal-00731864/file/senechal12tsmc_preprint.pdf
DOI : 10.1109/TSMCB.2012.2193567