Structured output SVM for remote sensing image classification

In the recent years, kernel methods have revealed very powerful tools in many application domains in general and in remote sensing image classification in particular. The special characteristics of remote sensing images (high dimension, few labeled samples and different noise sources) are efficiently dealt with kernel machines. In this paper, we propose the use of structured output learning to improve remote sensing image classification based on kernels. Structured output learning is concerned with the design of machine learning algorithms that not only implement input-output mapping, but also take into account the relations between output labels, thus generalizing unstructured kernel methods. We analyze the framework and introduce it to the remote sensing community. Output similarity is here encoded into SVM classifiers by modifying the model loss function and the kernel function either independently or jointly. Experiments on a very high resolution (VHR) image classification problem shows promising results and opens a wide field of research with structured output kernel methods.

Characterization of the effects of IL-17F on CHO cell line generation

CHO is the most commonly used mammalian host for the generation of cell lines allowing for the production of high quality therapeutic proteins. The generation of such cell lines is a lengthy and resource-intensive process requiring extensive screening in order to isolate candidates with optimal characteristics, such as growth, stability and productivity. For this reason, the biotechnology industry invests much effort in attempts to optimize CHO expression systems in order to streamline and shorten the cell line selection process. Based on preliminary observations of a facilitated selection of CHO-GS cell lines expressing members of the IL-17 cytokine family, this study investigates the use of IL-17F as a novel enhancing factor for CHO cell line generation. Using two different CHO expression systems (exploiting GS and DHFR-based selection), we demonstrated that IL-17F expression caused a significant increase in the occurrence of colonies during the selection process. All colonies selected produced substantial amounts of IL-17F, suggesting that benefits were conferred, during selection, to those cells expressing the cytokine. Furthermore, transgene expression levels were significantly increased when the selection pressure was raised to a level that would not normally be permissive for colony selection (i.e. 100 |o.M MSX for the CHO-GS expression system or 1000 nM MTX for the CHO-DHFR system). Finally, IL-17F expression was also found to enhance the rate of appearance of clones during single cell subcloning in the absence of selection pressure. Overall, these benefits have the potential to allow a substantial reduction in the length of cell line generation while significantly increasing cell line productivity. Nevertheless, we found that the high IL-17F expression levels required to convey enhancing effects was a limitation when attempting to co-express IL-17F and a recombinant soluble protein of therapeutic interest from independent CMV promoters within the same expression vector. In order to understand and overcome this limitation, studies were designed to characterize the IL-17F enhancing effect at the molecular and cellular level. Regular supplementation of recombinant biologically-active IL-17F into the culture medium during cell line selection was not able to reproduce the enhancing effects of endogenous IL-17F expression. In addition, increased IL-17F expression correlated with increased CHO-GS selection transgene expression at the single cell level. This data suggested a possible effect of IL-17F on viral promoter activity or transgene mRNA stability. It also provided direct evidence that the cells expressing the highest amounts of IL-17F obtained the most benefit. Overall data obtained from these study implied that IL-17F may act through an intracellular mechanism, possibly exerted during secretion. We therefore initiated experiments designed to determine the specific compartment(s) within which IL-17F triggers its effect. This work has identified IL-17F as a potentially powerful tool to optimize the CHO cell line generation process. The characterization of this enhancing effect at the molecular level has given us several insights into overcoming the current limitations, thus paving the way for the development of a viable technology that can be exploited within the biotechnology industry. - La CHO est la cellule hôte de mammifere la plus couramment utilisée dans la création de lignée cellulaire produisant des protéines thérapeutiques de haute qualité. La génération de ces lignées cellulaires est un processus long et exigeant l'utilisation de techniques de sélection robustes afin d'isoler des candidats possédants les caractéristiques optimales de croissance, de productivité et de stabilité d'expression. Les industries biopharmaceutiques ont investi beaucoup d'efforts afin d'optimiser les systèmes d'expression CHO dans le but raccourcir la longueur du procédé de sélection de lignées cellulaires et aussi d'en augmenter l'efficacité. A partir d'observations préliminaires obtenues lors de la génération de lignées cellulaires CHO- GS exprimant une cytokine appartenant à la famille des IL-17, nous avons réalisé une étude portant sur l'utilisation de l'IL-17F humaine (IL-17F) comme nouveau facteur d'optimisation pour la génération de lignées cellulaires CHO. Nous avons démontré, en utilisant les deux systèmes de sélection et d'expression CHO couramment utilisés (le premier exploitant la GS et l'autre basée sur la DHFR), que l'expression de l'IL-17F permet une augmentation significative de la fréquence d'apparition de colonies durant le processus de sélection de lignées cellulaires. Les différentes colonies sélectionnées expriment des quantités substantielles d'IL-17F, suggérant un effet bénéfique lors de la sélection qui serait exclusivement conféré aux cellules exprimant la cytokine. En outre, le niveau d'expression du transgene se trouve significativement augmenté lorsque la pression de sélection est portée à un niveau habituellement trop élevé pour permettre la sélection de colonies (soit 100 |JM MSX pour le système d'expression CHO-GS ou 1000 nM MTX pour le système CHO- DHFR). Enfin, l'expression d'IL-17F permet également d'améliorer la vitesse d'apparition de clones pendant une étape de sous-clonage en l'absence de pression de sélection. L'ensemble de ces effets bénéfiques permettent une réduction substantielle de la durée de génération de lignées cellulaires tout en augmentant considérablement la productivité des lignées obtenues. Néanmoins, nous avons constaté que la nécessité d'exprimer des niveaux élevés d'IL-17F afin obtenir l'ensemble de ses effets bénéfiques devient une contrainte lors de l'utilisation d'un vecteur d'expression composé de deux promoteurs CMV indépendants pour la co-expression de la cytokine et d'une protéine soluble présentant un intérêt thérapeutique. Afin de mieux comprendre et de surmonter cette limitation, plusieurs études ont été effectuées dans le but de mieux caractériser l'effet de IL-17F au niveau subcellulaire. L'apport régulier en IL-17F recombinante et biologiquement active dans le milieu de culture lors de la sélection de lignées cellulaires ne permet pas de reproduire les effets bénéfiques observés par l'expression endogène d'IL-17F. En outre, nous avons constaté que, lors de l'utilisation du système CHO- GS, l'augmentation d'expression de 1TL-17F est corrélée à un accroissement de l'expression du marqueur de sélection au niveau cellulaire. Ces résultats suggèrent un possible effet d'IL- 17F sur l'activité des promoteurs viraux et ainsi fournissent une preuve directe que les cellules exprimant de haut niveau d'IL-17F sont celles qui en profitent le plus. L'ensemble de ces observations mettrait en avant que l'effet d'IL-17F se ferait selon un mécanisme intracellulaire. Nous avons donc étudié le(s) compartiment(s) spécifique(s) dans lequel IL-17F pourrait exercer son effet. Ce travail a permis de définir IL-17F comme un puissant outil pour l'optimisation des procédés de génération de lignées cellulaires CHO. La caractérisation de cette amélioration de l'effet au niveau moléculaire nous a donné plusieurs indications sur la manière de dépasser les limitations actuelles, ouvrant ainsi la voie au développement d'une technologie viable qui peut être exploitée pars l'industrie biotechnologique.

Semi-supervised segmentation of ultrasound images based on patch representation and continuous min cut.

Ultrasound segmentation is a challenging problem due to the inherent speckle and some artifacts like shadows, attenuation and signal dropout. Existing methods need to include strong priors like shape priors or analytical intensity models to succeed in the segmentation. However, such priors tend to limit these methods to a specific target or imaging settings, and they are not always applicable to pathological cases. This work introduces a semi-supervised segmentation framework for ultrasound imaging that alleviates the limitation of fully automatic segmentation, that is, it is applicable to any kind of target and imaging settings. Our methodology uses a graph of image patches to represent the ultrasound image and user-assisted initialization with labels, which acts as soft priors. The segmentation problem is formulated as a continuous minimum cut problem and solved with an efficient optimization algorithm. We validate our segmentation framework on clinical ultrasound imaging (prostate, fetus, and tumors of the liver and eye). We obtain high similarity agreement with the ground truth provided by medical expert delineations in all applications (94% DICE values in average) and the proposed algorithm performs favorably with the literature.

'Next generation' biogeography: towards understanding the drivers of species diversification and persistence

The drivers of species diversification and persistence are of great interest to current biogeography, especially in those global biodiversity hotspots' harbouring most of Earth's animal and plant life. Classical multispecies biogeographical work has yielded fascinating insights into broad-scale patterns of diversification, and DNA-based intraspecific phylogeographical studies have started to complement this picture at much finer temporal and spatial scales. The advent of novel next-generation sequencing (NGS) technologies provides the opportunity to greatly scale up the numbers of individuals, populations and species sampled, potentially merging intraspecific and interspecific approaches to biogeographical inference. Here, we outline these prospects and issues by using the example of an undisputed hotspot, the Cape of southern Africa. We outline the current state of knowledge on the biogeography of species diversification within the Cape, review the literature for phylogeographical evidence of its likely drivers and mechanisms, and suggest possible ways forward based on NGS approaches. We demonstrate the potential of these methods and current bioinformatic issues with the help of restriction-site-associated DNA (RAD) sequencing data for three highly divergent species of the Restionaceae, an important plant radiation in the Cape. A thorough understanding of the mechanisms that facilitate species diversification and persistence in spatially structured, species-rich environments will require the adoption of novel genomic and bioinformatic tools in biogeographical studies.

Quantitative analysis of image factors in a cultural heritage tourist destination

The tourism consumer’s purchase decision process is, to a great extent, conditioned by the image the tourist has of the different destinations that make up his or her choice set. In a highly competitive international tourist market, those responsible for destinations’ promotion and development policies seek differentiation strategies so that they may position the destinations in the most suitable market segments for their product in order to improve their attractiveness to visitors and increase or consolidate the economic benefits that tourism activity generates in their territory. To this end, the main objective we set ourselves in this paper is the empirical analysis of the factors that determine the image formation of Tarragona city as a cultural heritage destination. Without a doubt, UNESCO’s declaration of Tarragona’s artistic and monumental legacies as World Heritage site in the year 2000 meant important international recognition of the quality of the cultural and patrimonial elements offered by the city to the visitors who choose it as a tourist destination. It also represents a strategic opportunity to boost the city’s promotion of tourism and its consolidation as a unique destination given its cultural and patrimonial characteristics. Our work is based on the use of structured and unstructured techniques to identify the factors that determine Tarragona’s tourist destination image and that have a decisive influence on visitors’ process of choice of destination. In addition to being able to ascertain Tarragona’s global tourist image, we consider that the heterogeneity of its visitors requires a more detailed study that enables us to segment visitor typology. We consider that the information provided by these results may prove of great interest to those responsible for local tourism policy, both when designing products and when promoting the destination.

Physically based walking simulation

Hem realitzat l’estudi de moviments humans i hem buscat la forma de poder crear aquests moviments en temps real sobre entorns digitals de forma que la feina que han de dur a terme els artistes i animadors sigui reduïda. Hem fet un estudi de les diferents tècniques d’animació de personatges que podem trobar actualment en l’industria de l’entreteniment així com les principals línies de recerca, estudiant detingudament la tècnica més utilitzada, la captura de moviments. La captura de moviments permet enregistrar els moviments d’una persona mitjançant sensors òptics, sensors magnètics i vídeo càmeres. Aquesta informació és emmagatzemada en arxius que després podran ser reproduïts per un personatge en temps real en una aplicació digital. Tot moviment enregistrat ha d’estar associat a un personatge, aquest és el procés de rigging, un dels punts que hem treballat ha estat la creació d’un sistema d’associació de l’esquelet amb la malla del personatge de forma semi-automàtica, reduint la feina de l’animador per a realitzar aquest procés. En les aplicacions en temps real com la realitat virtual, cada cop més s’està simulant l’entorn en el que viuen els personatges mitjançant les lleis de Newton, de forma que tot canvi en el moviment d’un cos ve donat per l’aplicació d’una força sobre aquest. La captura de moviments no escala bé amb aquests entorns degut a que no és capaç de crear noves animacions realistes a partir de l’enregistrada que depenguin de l’interacció amb l’entorn. L’objectiu final del nostre treball ha estat realitzar la creació d’animacions a partir de forces tal i com ho fem en la realitat en temps real. Per a això hem introduït un model muscular i un sistema de balanç sobre el personatge de forma que aquest pugui respondre a les interaccions amb l’entorn simulat mitjançant les lleis de Newton de manera realista.

High expectation in non-evidence-based smoking cessation interventions among smokers--the CoLaus study.

To assess the preferred methods to quit smoking among current smokers. Cross-sectional, population-based study conducted in Lausanne between 2003 and 2006 including 988 current smokers. Preference was assessed by questionnaire. Evidence-based (EB) methods were nicotine replacement, bupropion, physician or group consultations; non-EB-based methods were acupuncture, hypnosis and autogenic training. EB methods were frequently (physician consultation: 48%, 95% confidence interval (45-51); nicotine replacement therapy: 35% (32-38)) or rarely (bupropion and group consultations: 13% (11-15)) preferred by the participants. Non-EB methods were preferred by a third (acupuncture: 33% (30-36)), a quarter (hypnosis: 26% (23-29)) or a seventh (autogenic training: 13% (11-15)) of responders. On multivariate analysis, women preferred both EB and non-EB methods more frequently than men (odds ratio and 95% confidence interval: 1.46 (1.10-1.93) and 2.26 (1.72-2.96) for any EB and non-EB method, respectively). Preference for non-EB methods was higher among highly educated participants, while no such relationship was found for EB methods. Many smokers are unaware of the full variety of methods to quit smoking. Better information regarding these methods is necessary.

Is accurate perception of body image associated with appropriate weight-control behavior among adolescents of the Seychelles

BACKGROUND: We examined body image perception and its association with reported weight-control behavior among adolescents in the Seychelles.METHODS: We conducted a school-based survey of 1432 students aging 11-17 years in the Seychelles. Perception of body image was assessed using both a closed-ended question (CEQ) and Stunkard's pictorial silhouettes (SPS). Voluntary attempts to change weight were also assessed.RESULTS: A substantial proportion of the overweight students did not consider themselves as overweight (SPS: 24%, CEQ: 34%), and a substantial proportion of the normal-weight students considered themselves as too thin (SPS: 29%, CEQ: 15%). Logistic regression analysis showed that students with an accurate weight perception were more likely to have appropriate weight-control behavior.CONCLUSIONS: We found that substantial proportions of students had an inaccurate perception of their weight and that weight perception was associated with weight-control behavior. These findings point to forces that can drive the upwards overweight trends.

Colour image processing

In the context of the round table the following topics related to image colour processing will be discussed: historical point of view. Studies of Aguilonius, Gerritsen, Newton and Maxwell. CIE standard (Commission International de lpsilaEclaraige). Colour models. RGB, HIS, etc. Colour segmentation based on HSI model. Industrial applications. Summary and discussion. At the end, video images showing the robustness of colour in front of B/W images will be presented

Natural evidence for rapid abiogenic hydrothermal generation of CH4

Although recent hydrothermal experiments imply that abiogenic methane (CH4) generation from hydrothermal reduction of CO2 can occur, evidence from natural systems was still lacking. Based on the chemical and isotopic equilibrium signatures of low-temperature fumarolic gas discharges, we are able to provide hard evidence for its natural occurrence, namely in three subduction-related bi-phase hydrothermal systems of the Mediterranean, whose temperatures range from 260 to 470 degrees C. The attainment of equilibrium and the time spans of recent volcanic dormancy allowed us to calculate minimum rates for chemical and isotopic equilibration. These are significantly higher than those previously reported and might be due to the presence of a saturated water vapor phase in the investigated systems. The fact that nature provides conditions enabling relatively fast production of hydrocarbons from CO2 strongly supports the concerns that were recently raised from laboratory experiments. These address the use of the carbon isotope composition of reduced carbon in Archean sediments as a tracer of early life and the occurrence of CH4 on extraterrestrial planets as a bioindicator. In view of the potential role of abiogenic CH4 as a precursor of life, we also present an estimate of abiogenic hydrothermal CH4 fluxes throughout the Archean. It is not expected that these fluxes exceeded 80 Mt/yr during the past 4.0 Ga. This, however, would have been enough to facilitate HCN production on the prebiotic Earth. (C) 2007 Elsevier Ltd. All rights reserved.

A method to obtain the integrated contour image in colour scenes

This paper describes a method to achieve the most relevant contours of an image. The presented method proposes to integrate the information of the local contours from chromatic components such as H, S and I, taking into account the criteria of coherence of the local contour orientation values obtained from each of these components. The process is based on parametrizing pixel by pixel the local contours (magnitude and orientation values) from the H, S and I images. This process is carried out individually for each chromatic component. If the criterion of dispersion of the obtained orientation values is high, this chromatic component will lose relevance. A final processing integrates the extracted contours of the three chromatic components, generating the so-called integrated contours image

An approach to vision-based station keeping for an unmanned underwater vehicle

This paper presents an automatic vision-based system for UUV station keeping. The vehicle is equipped with a down-looking camera, which provides images of the sea-floor. The station keeping system is based on a feature-based motion detection algorithm, which exploits standard correlation and explicit textural analysis to solve the correspondence problem. A visual map of the area surveyed by the vehicle is constructed to increase the flexibility of the system, allowing the vehicle to position itself when it has lost the reference image. The testing platform is the URIS underwater vehicle. Experimental results demonstrating the behavior of the system on a real environment are presented

Towards Detecting Changes in Underwater Image Sequences

Detecting changes between images of the same scene taken at different times is of great interest for monitoring and understanding the environment. It is widely used for on-land application but suffers from different constraints. Unfortunately, Change detection algorithms require highly accurate geometric and photometric registration. This requirement has precluded their use in underwater imagery in the past. In this paper, the change detection techniques available nowadays for on-land application were analyzed and a method to automatically detect the changes in sequences of underwater images is proposed. Target application scenarios are habitat restoration sites, or area monitoring after sudden impacts from hurricanes or ship groundings. The method is based on the creation of a 3D terrain model from one image sequence over an area of interest. This model allows for synthesizing textured views that correspond to the same viewpoints of a second image sequence. The generated views are photometrically matched and corrected against the corresponding frames from the second sequence. Standard change detection techniques are then applied to find areas of difference. Additionally, the paper shows that it is possible to detect false positives, resulting from non-rigid objects, by applying the same change detection method to the first sequence exclusively. The developed method was able to correctly find the changes between two challenging sequences of images from a coral reef taken one year apart and acquired with two different cameras

Estimating the motion of an underwater robot from a monocular image sequence

When underwater vehicles perform navigation close to the ocean floor, computer vision techniques can be applied to obtain quite accurate motion estimates. The most crucial step in the vision-based estimation of the vehicle motion consists on detecting matchings between image pairs. Here we propose the extensive use of texture analysis as a tool to ameliorate the correspondence problem in underwater images. Once a robust set of correspondences has been found, the three-dimensional motion of the vehicle can be computed with respect to the bed of the sea. Finally, motion estimates allow the construction of a map that could aid to the navigation of the robot

Correction of shading effects in vision-based UUV localization

This paper describes the improvements achieved in our mosaicking system to assist unmanned underwater vehicle navigation. A major advance has been attained in the processing of images of the ocean floor when light absorption effects are evident. Due to the absorption of natural light, underwater vehicles often require artificial light sources attached to them to provide the adequate illumination for processing underwater images. Unfortunately, these flashlights tend to illuminate the scene in a nonuniform fashion. In this paper a technique to correct non-uniform lighting is proposed. The acquired frames are compensated through a point-by-point division of the image by an estimation of the illumination field. Then, the gray-levels of the obtained image remapped to enhance image contrast. Experiments with real images are presented