Poïétique de la création sonore au cinéma : la figure de l’artiste-poïéticien

Nous proposons, dans ce mémoire, d’explorer les possibilités pratiques et pédagogiques d’une approche autopoïétique de la création sonore au cinéma. Notre principal souci sera de saisir les modalités de l’ascèse propre aux artistes qui se livrent à une telle activité, comprise comme un « apprentissage de soi par soi » (Foucault), afin de faire celui qui peut faire l’œuvre (processus de subjectivation), et le rôle descriptif et opératoire de cet exercice - en tant qu’effort pour penser de façon critique son propre savoir-faire -, dans le faire-œuvre et l’invention de possibles dans l’écriture audio-visuelle cinématographique. Pour ce faire, d’une part, nous étudierons, à partir de témoignages autopoïétiques, le rapport réflexif de trois créateurs sonores à leur pratique et leur effort pour penser (et mettre en place) les conditions d’une pratique et d’une esthétique du son filmique comme forme d’art sonore dans un contexte audio-visuel, alors qu’ils travaillent dans un cadre normalisant : Randy Thom, Walter Murch et Franck Warner. D’autre part, nous recourrons à différentes considérations théoriques (la théorie de l’art chez Deleuze et Guattari, la « surécoute » chez Szendy, l’histoire de la poïétique à partir de Valéry, etc.) et pratiques (la recherche musicale chez Schaeffer, la relation maître-apprenti, les rapports entre automatisme et pensée dans le cinéma moderne chez Artaud et Godard, etc.), afin de contextualiser et d’analyser ces expériences de création, avec l’objectif de problématiser la figure de l’artiste-poïéticien sur un plan éthique dans le sillage de la théorie des techniques de soi chez Foucault.

Effects of modality, urgency and situation on responses to multimodal warnings for drivers

Signifying road-related events with warnings can be highly beneficial, especially when imminent attention is needed. This thesis describes how modality, urgency and situation can influence driver responses to multimodal displays used as warnings. These displays utilise all combinations of audio, visual and tactile modalities, reflecting different urgency levels. In this way, a new rich set of cues is designed, conveying information multimodally, to enhance reactions during driving, which is a highly visual task. The importance of the signified events to driving is reflected in the warnings, and safety-critical or non-critical situations are communicated through the cues. Novel warning designs are considered, using both abstract displays, with no semantic association to the signified event, and language-based ones, using speech. These two cue designs are compared, to discover their strengths and weaknesses as car alerts. The situations in which the new cues are delivered are varied, by simulating both critical and non-critical events and both manual and autonomous car scenarios. A novel set of guidelines for using multimodal driver displays is finally provided, considering the modalities utilised, the urgency signified, and the situation simulated.

Humor político audiovisual en Colombia: de los gloriosos años noventa en televisión a internet como alternativa

El humor político alrededor del mundo ha sido un recurso para criticar el poder y la esfera política con la mordacidad que otros escenarios no permiten y con lenguajes que generan empatía con el público. En la capacidad de criticar a todos los poderes –y poderosos- por igual, sin condescendencias, recae la credibilidad de esa crítica, la cual se debe poder hacer sin censura en una sociedad pluralista y democrática. En Colombia, el humor político en televisión emergió y vivió su época dorada en la década de los noventa, hasta que su principal exponente, Jaime Garzón, fue asesinado. Este trabajo de grado buscó indagar por qué, a pesar de que nuevos productos de crítica política con humor surgieron en el país, hoy no hay ese tipo de oferta en la televisión abierta nacional. La respuesta a ese interrogante se pudo encontrar en múltiples factores, como un nuevo modelo económico en la industria de la televisión, un ambiente político polarizado y la ausencia o falta de promoción de talentos detrás de los libretos. Asimismo, en medio de esta coyuntura, se plantea que internet ha sido un vehículo para expresar, incluso de manera anónima, lo que miembros de la sociedad creen que anda mal con el poder y la política.

DIDÁCTICA DE LA GEOGRAFÍA Y DIDÁCTICA SUPERIOR

El artículo reflexiona sobre el aporte de la didáctica en el proceso de enseñanza – aprendizaje, enfatizando en su carácter teórico – práctica.  Diferencia entre una didáctica general y una didáctica específica.La Didáctica Crítica propone al profesor en Geografía como un maestro en el  saber y actuar, en el cumplimiento de sus deberes, responsabilidades y habilidades.  La enseñanza de la Geografía precisadel apoyo de numerosos instrumentos de alta tecnología, que constituyen valiosos aportes didácticos, la  incorporación de  las Tecnologías de  Información y Comunicación  (TICʼs)    es una necesidad. La formación a nivel universitario debe ofrecer las destrezas  y habilidades en la creación y composiciónde medios audiovisuales para la enseñanza  de la Geografía.  La Geografía contribuye eficazmente al desarrollo de capacidades, actitudes y competencias genéricas esenciales sobre las que ha de basarse la formación ciudadana y la educación de valores.Palabras claves: Geografía, didáctica de  la Geografía, saber geográfico, metodología de enseñanza, método didáctico.AbstractThe article reflects on the contribution from didactics in the process of teaching-learning, emphasizing in its theoretical character – practice. It differentiates between general didactics and specific didactics. Critical didactics suggests that the Geography professor, as an expert, knows and acts according to his or her duties, responsibilities and abilities.The teaching of the Geography draws upon the support of high-tech tools, which constitute valuable didactic contributions, so that incorporation of the Technology Information and Communication (TICʼs) is a necessity to be the mode of communication. Formation at the university level ought to offer talents and abilities in the creation and composition of audio-visual media in the teaching of geography. Geography effectively contributes to development of capabilities, attitudes and competencies generic essential for citizen formation and the education of values.Key Words: Geography,  didactics  of Geography,  geographical  knowledge,  teaching methodology, didactic method

El grito de Calibán. Del cinematógrafo al proyecto teleSur: la construcción de lo latinoamericano en la comunicación audiovisual regional

This essay analyzes on the importance of TeleSur TV Station (founded in 2005), in the historical context of the development of audio-visual means of communication in Latin America, as well as the debates about the influence of mass media in the process of cultural identity raising-up. It proposes the thesis that the project of Tele- Sur plays a key role in the shaping of a new international order on communication that allows the protection of the cultural diversity of Latin American nations and democratizes the world’s information flows in the neoliberal globalization stage.

Advancing Bag-of-visual-words Representations For Lesion Classification In Retinal Images.

Diabetic Retinopathy (DR) is a complication of diabetes that can lead to blindness if not readily discovered. Automated screening algorithms have the potential to improve identification of patients who need further medical attention. However, the identification of lesions must be accurate to be useful for clinical application. The bag-of-visual-words (BoVW) algorithm employs a maximum-margin classifier in a flexible framework that is able to detect the most common DR-related lesions such as microaneurysms, cotton-wool spots and hard exudates. BoVW allows to bypass the need for pre- and post-processing of the retinographic images, as well as the need of specific ad hoc techniques for identification of each type of lesion. An extensive evaluation of the BoVW model, using three large retinograph datasets (DR1, DR2 and Messidor) with different resolution and collected by different healthcare personnel, was performed. The results demonstrate that the BoVW classification approach can identify different lesions within an image without having to utilize different algorithms for each lesion reducing processing time and providing a more flexible diagnostic system. Our BoVW scheme is based on sparse low-level feature detection with a Speeded-Up Robust Features (SURF) local descriptor, and mid-level features based on semi-soft coding with max pooling. The best BoVW representation for retinal image classification was an area under the receiver operating characteristic curve (AUC-ROC) of 97.8% (exudates) and 93.5% (red lesions), applying a cross-dataset validation protocol. To assess the accuracy for detecting cases that require referral within one year, the sparse extraction technique associated with semi-soft coding and max pooling obtained an AUC of 94.2 ± 2.0%, outperforming current methods. Those results indicate that, for retinal image classification tasks in clinical practice, BoVW is equal and, in some instances, surpasses results obtained using dense detection (widely believed to be the best choice in many vision problems) for the low-level descriptors.

An Interface to Retrieve Personal Memories Using an Iconic Visual Language

Relevant past events can be remembered when visualizing related pictures. The main difficulty is how to find these photos in a large personal collection. Query definition and image annotation are key issues to overcome this problem. The former is relevant due to the diversity of the clues provided by our memory when recovering a past moment and the later because images need to be annotated with information regarding those clues to be retrieved. Consequently, tools to recover past memories should deal carefully with these two tasks. This paper describes a user interface designed to explore pictures from personal memories. Users can query the media collection in several ways and for this reason an iconic visual language to define queries is proposed. Automatic and semi-automatic annotation is also performed using the image content and the audio information obtained when users show their images to others. The paper also presents the user interface evaluation based on tests with 58 participants.

Comparing the content of instruments assessing environmental factors using the International Classification of Functioning, Disability and Health

Purpose: To describe and compare the content of instruments that assess environmental factors using the International Classification of Functioning, Disability and Health (ICF). Methods: A systematic search of PubMed, CINAHL and PEDro databases was conducted using a pre-determined search strategy. The identified instruments were screened independently by two investigators, and meaningful concepts were linked to the most precise ICF category according to published linking rules. Results: Six instruments were included, containing 526 meaningful concepts. Instruments had between 20% and 98% of items linked to categories in Chapter 1. The highest percentage of items from one instrument linked to categories in Chapters 2–5 varied between 9% and 50%. The presence or absence of environmental factors in a specific context is assessed in 3 instruments, while the other 3 assess the intensity of the impact of environmental factors. Discussion: Instruments differ in their content, type of assessment, and have several items linked to the same ICF category. Most instruments primarily assess products and technology (Chapter 1), highlighting the need to deepen the discussion on the theory that supports the measurement of environmental factors. This discussion should be thorough and lead to the development of methodologies and new tools that capture the underlying concepts of the ICF.

Visual analysis, clustering, and classification of contrast-enhanced tumor perfusion MRI data

Magdeburg, Univ., Fak. für Inf., Diss., 2014

Audio as medium for content distribution (providing access to knowledge)

Reaching and educating the masses to the benefit of all of mankind is the ultimate goal and through the use of this technology facility/tool many can be reached in their own language, in their own community, in their own time and at their own pace. Making this content available to those who will benefit from the information, is vital. These people who want to consume the content are not necessarily that interested in the qualification, they need the information. Making the content available in an auditory format may also help those who may not be as literate as others. The uses of audio/ recorded lessons have a number of uses and should not just be seen as a medium for content distribution to distant communities. Recording lectures makes it possible for a lecturer to present lectures to a vast number of students, while just presenting the lecture once.

Using numerical classification of profiles based on Vis-NIR spectra to distinguish soils from the Piracicaba Region, Brazil

Considering that information from soil reflectance spectra is underutilized in soil classification, this paper aimed to evaluate the relationship of soil physical, chemical properties and their spectra, to identify spectral patterns for soil classes, evaluate the use of numerical classification of profiles combined with spectral data for soil classification. We studied 20 soil profiles from the municipality of Piracicaba, State of São Paulo, Brazil, which were morphologically described and classified up to the 3rd category level of the Brazilian Soil Classification System (SiBCS). Subsequently, soil samples were collected from pedogenetic horizons and subjected to soil particle size and chemical analyses. Their Vis-NIR spectra were measured, followed by principal component analysis. Pearson's linear correlation coefficients were determined among the four principal components and the following soil properties: pH, organic matter, P, K, Ca, Mg, Al, CEC, base saturation, and Al saturation. We also carried out interpretation of the first three principal components and their relationships with soil classes defined by SiBCS. In addition, numerical classification of the profiles based on the OSACA algorithm was performed using spectral data as a basis. We determined the Normalized Mutual Information (NMI) and Uncertainty Coefficient (U). These coefficients represent the similarity between the numerical classification and the soil classes from SiBCS. Pearson's correlation coefficients were significant for the principal components when compared to sand, clay, Al content and soil color. Visual analysis of the principal component scores showed differences in the spectral behavior of the soil classes, mainly among Argissolos and the others soils. The NMI and U similarity coefficients showed values of 0.74 and 0.64, respectively, suggesting good similarity between the numerical and SiBCS classes. For example, numerical classification correctly distinguished Argissolos from Latossolos and Nitossolos. However, this mathematical technique was not able to distinguish Latossolos from Nitossolos Vermelho férricos, but the Cambissolos were well differentiated from other soil classes. The numerical technique proved to be effective and applicable to the soil classification process.

Incorporating complex cells into neural networks for pattern classification

Dans le domaine des neurosciences computationnelles, l'hypothèse a été émise que le système visuel, depuis la rétine et jusqu'au cortex visuel primaire au moins, ajuste continuellement un modèle probabiliste avec des variables latentes, à son flux de perceptions. Ni le modèle exact, ni la méthode exacte utilisée pour l'ajustement ne sont connus, mais les algorithmes existants qui permettent l'ajustement de tels modèles ont besoin de faire une estimation conditionnelle des variables latentes. Cela nous peut nous aider à comprendre pourquoi le système visuel pourrait ajuster un tel modèle; si le modèle est approprié, ces estimé conditionnels peuvent aussi former une excellente représentation, qui permettent d'analyser le contenu sémantique des images perçues. Le travail présenté ici utilise la performance en classification d'images (discrimination entre des types d'objets communs) comme base pour comparer des modèles du système visuel, et des algorithmes pour ajuster ces modèles (vus comme des densités de probabilité) à des images. Cette thèse (a) montre que des modèles basés sur les cellules complexes de l'aire visuelle V1 généralisent mieux à partir d'exemples d'entraînement étiquetés que les réseaux de neurones conventionnels, dont les unités cachées sont plus semblables aux cellules simples de V1; (b) présente une nouvelle interprétation des modèles du système visuels basés sur des cellules complexes, comme distributions de probabilités, ainsi que de nouveaux algorithmes pour les ajuster à des données; et (c) montre que ces modèles forment des représentations qui sont meilleures pour la classification d'images, après avoir été entraînés comme des modèles de probabilités. Deux innovations techniques additionnelles, qui ont rendu ce travail possible, sont également décrites : un algorithme de recherche aléatoire pour sélectionner des hyper-paramètres, et un compilateur pour des expressions mathématiques matricielles, qui peut optimiser ces expressions pour processeur central (CPU) et graphique (GPU).

classification and content based retrieval of digital mammograms and placental sonograms

Image processing has been a challenging and multidisciplinary research area since decades with continuing improvements in its various branches especially Medical Imaging. The healthcare industry was very much benefited with the advances in Image Processing techniques for the efficient management of large volumes of clinical data. The popularity and growth of Image Processing field attracts researchers from many disciplines including Computer Science and Medical Science due to its applicability to the real world. In the meantime, Computer Science is becoming an important driving force for the further development of Medical Sciences. The objective of this study is to make use of the basic concepts in Medical Image Processing and develop methods and tools for clinicians’ assistance. This work is motivated from clinical applications of digital mammograms and placental sonograms, and uses real medical images for proposing a method intended to assist radiologists in the diagnostic process. The study consists of two domains of Pattern recognition, Classification and Content Based Retrieval. Mammogram images of breast cancer patients and placental images are used for this study. Cancer is a disaster to human race. The accuracy in characterizing images using simplified user friendly Computer Aided Diagnosis techniques helps radiologists in detecting cancers at an early stage. Breast cancer which accounts for the major cause of cancer death in women can be fully cured if detected at an early stage. Studies relating to placental characteristics and abnormalities are important in foetal monitoring. The diagnostic variability in sonographic examination of placenta can be overlooked by detailed placental texture analysis by focusing on placental grading. The work aims on early breast cancer detection and placental maturity analysis. This dissertation is a stepping stone in combing various application domains of healthcare and technology.

Visual Segmentation without Classification in a Model of the Primary Visual Cortex

Stimuli outside classical receptive fields significantly influence the neurons' activities in primary visual cortex. We propose that such contextual influences are used to segment regions by detecting the breakdown of homogeneity or translation invariance in the input, thus computing global region boundaries using local interactions. This is implemented in a biologically based model of V1, and demonstrated in examples of texture segmentation and figure-ground segregation. By contrast with traditional approaches, segmentation occurs without classification or comparison of features within or between regions and is performed by exactly the same neural circuit responsible for the dual problem of the grouping and enhancement of contours.

iTunesU - open educational content in audio and video formats available via iTunes

There is a wealth of open educational content in audio and video formats available via iTunes U, one of the services offered especially for education via iTunes. There are details of how to get started as well as an informative video to help you. Details of how to get started with sharing content can be found for developers.