Trompa interestelar : el color sonoro de la trompa en la "llamada interestelar" de O. Messiaen

Mi trabajo versa sobre la obra de O. Messiaen "Des Canyons aux etoiles" (De los cañones a las estrellas), y en particular de uno de los movimientos de la obra: "Appel Interestellaire" -N.VI- (Llamada Interestelar) -para trompa sola-. Se estructura en dos partes. La primera se centra en su contexto histórico -como, cuando y para quien fue compuesta-; análisis formal, armónico, melódico, rítmico; y aspectos estéticos. La segunda parte está vinculada con la interpretación de la obra. Se realiza un análisis para la interpretación -técnica de la trompa, efectos sonoros, timbres-; se hace una comparación entre la interpretación de 2 diferentes trompistas, y por último, aporto mi propuesta de interpretación. El trabajo se cierra con una conclusión, bibliografía, y un extracto con anexos (esquema, partitura y datos o imágenes de interés).

Anàlisi de la imatge turística projectada a través del cinema: el cas de Barcelona

L’objectiu principal d’aquest estudi és explorar el rol del cinema com a generador d’imatge de la destinació turística. El cinema és capaç de promoure, confirmar i reforçar les imatges, les opinions i la identitat d’una destinació de manera molt poderosa

La nocturnitat en la il·luminació dels clips musicals actuals

Peer-reviewed

Ensumar la ciutat: anàlisi antropològica de la construcció olfactiva sobre les condicions de salubritat a Catalunya en el segle XIX

Les topografies mèdiques-finals del segle XIX i primeres dècades del segle xx- són informes fets pels metges catalans que volien construir una"geografia mèdica" del país, qüestió fonamental per conèixer l"estat de la salut de la població; avui, aquests informes esdevenen un material de primer ordre per conèixer les condicions de vida en relació amb l"estat de salubritat no solament de les localitats estudiades sinó també de tota una època.

Toca-toca: la revolució de les impressores

Diuen que la primera vegada que algunes persones van sentir parlar de la televisió, als anys 30, van córrer a mirar la ràdio de casa, intentant endevinar per on sortirien les imatges promeses. Ben poques, però, devien imaginar la importància que acabaria adquirint aquesta 'nova dimensió de la ràdio'. De manera anàloga, les impressores han començat a incorporar també una nova dimensió: ja no només poden treure fulls bidimensionals impresos, sinó que també n'hi ha que poden fer autèntiques estructures tridimensionals acolorides.

ROLOC. Transformation chromatic stripes

[cat] Roloc es basa en la codificació cromàtica d'imatges. Roloc analitza una imatge i, a partir d'uns colors predeterminats per l'usuari, la reconverteix en franges de diferents mides segons la seva proporció cromàtica. D'aquesta manera tota imatge es reordena en franges verticals de colors plans.

Identification of paintings from camera-phone images

Peer-reviewed

Aprendizaje de palabras nuevas concretas y abstractas

El significado de una palabra nueva puede adquirirse extrayéndolo de un contexto lingüístico, tanto durante la lectura como durante una conversación. Aún no sabemos cómo nuestro cerebro lleva a cabo este proceso de extracción y posterior aprendizaje del significado de nuevas palabras. En esta investigación hemos simulado el aprendizaje de palabras nuevas concretas y abstractas a partir de información contextual verbal, con el fin de caracterizar las regiones cerebrales implicadas durante el curso de este proceso

A Multiagent System for Coordinating Ambulances for Emergency Medical Services

To coordinate ambulances for emergency medical services, a multiagent system uses an auction mechanism based on trust. Results of tests using real data show that this system can efficiently assign ambulances to patients, thereby reducing transportation time. Emergency transportation on specialized vehicles is needed when a person's health is in risk of irreparable damage. A patient can't benefit from sophisticated medical treatments and technologies if she or he isn't placed in a proper healthcare center with the appropriate medical team. For example, strokes are neurological emergencies involving a limited amount of time in which treatment measures are effective

Imaging bilinguals: When the neurosciences meet the languange sciences

The starting point of our investigation was the longstanding notion that bilingual individuals need effective mechanisms to prevent interference from one language while processing material in the other (e.g. Penfield and Roberts, 1959). To demonstrate how the prevention of interference is implemented in the brain we employed event-related brain potentials (ERPs; see Munte, Urbach, ¨ Duzel and Kutas, 2000, for an introductory review) ¨ and functional magnetic resonance imaging (fMRI) techniques, thus pursuing a combined temporal and spatial imaging approach. In contrast to previous investigations using neuroimaging techniques in bilinguals, which had been mainly concerned with the localization of the primary and secondary languages (e.g. Perani, Paulesu, Galles, Dupoux, Dehaene, Bettinardi, Cappa, Fazio and Mehler, 1998; Chee, Caplan, Soon, Sriram, Tan, Thiel and Weekes, 1999), our study addressed the dynamic aspects of bilingual language processing.

Image Segmentation Using Information Bottleneck Method

In image processing, segmentation algorithms constitute one of the main focuses of research. In this paper, new image segmentation algorithms based on a hard version of the information bottleneck method are presented. The objective of this method is to extract a compact representation of a variable, considered the input, with minimal loss of mutual information with respect to another variable, considered the output. First, we introduce a split-and-merge algorithm based on the definition of an information channel between a set of regions (input) of the image and the intensity histogram bins (output). From this channel, the maximization of the mutual information gain is used to optimize the image partitioning. Then, the merging process of the regions obtained in the previous phase is carried out by minimizing the loss of mutual information. From the inversion of the above channel, we also present a new histogram clustering algorithm based on the minimization of the mutual information loss, where now the input variable represents the histogram bins and the output is given by the set of regions obtained from the above split-and-merge algorithm. Finally, we introduce two new clustering algorithms which show how the information bottleneck method can be applied to the registration channel obtained when two multimodal images are correctly aligned. Different experiments on 2-D and 3-D images show the behavior of the proposed algorithms

An octree isosurface codification based on discrete planes

Describes a method to code a decimated model of an isosurface on an octree representation while maintaining volume data if it is needed. The proposed technique is based on grouping the marching cubes (MC) patterns into five configurations according the topology and the number of planes of the surface that are contained in a cell. Moreover, the discrete number of planes on which the surface lays is fixed. Starting from a complete volume octree, with the isosurface codified at terminal nodes according to the new configuration, a bottom-up strategy is taken for merging cells. Such a strategy allows one to implicitly represent co-planar faces in the upper octree levels without introducing any error. At the end of this merging process, when it is required, a reconstruction strategy is applied to generate the surface contained in the octree intersected leaves. Some examples with medical data demonstrate that a reduction of up to 50% in the number of polygons can be achieved

Point sampling with uniformly distributed lines

In this paper we address the problem of extracting representative point samples from polygonal models. The goal of such a sampling algorithm is to find points that are evenly distributed. We propose star-discrepancy as a measure for sampling quality and propose new sampling methods based on global line distributions. We investigate several line generation algorithms including an efficient hardware-based sampling method. Our method contributes to the area of point-based graphics by extracting points that are more evenly distributed than by sampling with current algorithms

Fourier-based registration for robust forward-looking sonar mosaicing in low-visibility underwater environments

Vehicle operations in underwater environments are often compromised by poor visibility conditions. For instance, the perception range of optical devices is heavily constrained in turbid waters, thus complicating navigation and mapping tasks in environments such as harbors, bays, or rivers. A new generation of high-definition forward-looking sonars providing acoustic imagery at high frame rates has recently emerged as a promising alternative for working under these challenging conditions. However, the characteristics of the sonar data introduce difficulties in image registration, a key step in mosaicing and motion estimation applications. In this work, we propose the use of a Fourier-based registration technique capable of handling the low resolution, noise, and artifacts associated with sonar image formation. When compared to a state-of-the art region-based technique, our approach shows superior performance in the alignment of both consecutive and nonconsecutive views as well as higher robustness in featureless environments. The method is used to compute pose constraints between sonar frames that, integrated inside a global alignment framework, enable the rendering of consistent acoustic mosaics with high detail and increased resolution. An extensive experimental section is reported showing results in relevant field applications, such as ship hull inspection and harbor mapping