Cuestiones de pintura y miniatura en Cerdeña: modelos, intercambios y relaciones internacionales en la segunda mitad del siglo XV

Durante el siglo XV Cerdeña desempeña, gracias a su posicionamiento geográfico en el centro del Mediterráneo, un papel muy importante en la red de comercio internacional. Este movimiento económico-cultural fomenta una extensa producción artística que está caracterizada por depender fuertemente de la presencia en la isla de talleres y artistas catalanes. Al día de hoy se conoce muy poco la presencia y las características de la pintura del gótico tardío en la Cerdeña. Las dificultades encontradas por los investigadores en la reconstrucción de la historia del arte sarda de esta época son numerosas y difíciles de solucionar. El problema depende de la falta de fuentes documentales (directas e indirectas), de la gran dispersión de muchísimas obras, de la inaccesibilidad de unas de las obras más interesantes; del desplazamiento casi total de las obras de su sitio original, y del total anonimato de la mayoría de los artistas. En estas condiciones la única solución para alcanzar nuevos elementos científicos es: integrar los conocimientos procedente de las fuentes documentales; ampliar la practica metodológica (multidisciplinariedad), conectar el tejido sardo (pintura, miniatura, grabados) con el ámbito internacional. El objetivo final es introducir la pintura sarda en un contexto más amplio, para poder descubrir el sistema de modelos y de relaciones artísticas, que la conectan con el mundo artístico mediterráneo. El trabajo de este primer año ha sido particularmente intenso y complicado por las dificultades encontradas en ponerse en un tema tan vasto como lo de la pintura y los modelos figurativos de la segunda mitad del siglo XV. Principales objetivos: averiguar toda la bibliografía conocida sobre el tema e intentar ampliar los estudios cada vez que se encontraban indicios sobre posibles autores y obras sardas; empezar el trabajo de catalogación de las obras pictóricas (conocidas o recien descubiertas.)

Estat de l'art dels serveis web

Article sobre l'evolució dels darrers anys dels serveis web, les diferents tecnologies emprades actualment i quines són les recomanacions de la W3C.

Anàlisis de la viabilitat de la utilització d'histogrames de color per a la classificació d'obres d'art

L'objectiu principal d'aquest treball és establir si l'anàlisi dels histogrames de color és eficient per classificar obres d'art. A partir d'un conjunt d'imatges d'obres d'art els atributs de les quals coneixem, s'ha generat un programari que permet establir la precisió de la classificació en cas que es fes servir com a conjunt d'entrenament per a reconèixer altres imatges.

Art i Baix Ter : artistes actuals i paisatge

Aquest projecte de recerca proposa un estudi emmarcat en la realitat actual de lazona geogràfica del Baix Ter enfocat des d’un prisma transversal que col·labori a feraflorar noves reflexions sobre el territori i el paisatge a partir d’algunes de les aportacionsque s’estan produint des de les arts plàstiques.La investigació pretén omplir un buit historiogràfic existent pel que fa alpatrimoni d’art contemporani de la zona, tenint en compte la notorietat de la sevariquesa cultural i artística. Es proposa analitzar algunes de les figures artístiques mésrellevants que hi treballen i seleccionar d’aquelles que treballin més directament sobre elterritori, el paisatge i la formació de nous valors al seu entorn

Evaluation of free libraries for visual recognition of art imagery on mobile devices

This paper describes a systematic research about free software solutions and techniques for art imagery computer recognition problem.

Greenberg i Danto : De l'últim gran relat a la fi de l'art

A partir de l'anàlisi comparatiu de l'obra de dos grans teòrics de la modernitat i la postmodernitat com són Clement Greenberg i Arthur C. Danto es fa un estudi de com aquests dos autors han arribat a construir els seus discursos i, en relació a això, com ha anat evolucionant el concepte d'art de la modernitat a la postmodernitat. La qüestió central que se'ns planteja és: què ha canviat en la idea d'art de la postmodernitat respecte a la idea o a la concepció d'art anterior, per arribar-nos a qüestionar si realment hi ha art i, si n'hi ha, què és art i que no ho és? Existeix una idea universal de què ha de ser art? O aquesta és una qüestió intrínsicament relacionada amb la societat en què es produeix; en aquest cas, la societat occidental?

Eduard Toldrà : sis sonets per a violí i piano

Eduard Toldrà i Soler fou una persona important i significativa per a la societat catalana de principis del segle XX. La seva vida musical és increïblement ampla, ja que abasta facetes de violinista, compositor, director i pedagog. A més, Toldrà va estar sempre immers en la cultura catalana, en l'art en general, i en particular en la poesia. És per aquest motiu que trobem tanta poesia en la seva música. En el següent treball aprofundeixo en l'estudi d'una de les seves obres, Sis Sonets per a violí i piano. A través de l'anàlisi d'aquestes sis peces, coneixerem també al personatge d'Eduard Toldrà i el seu context cultural. Veurem que la seva música se situa fora dels trets estilístics “hispànics” de l'època i que, sota els tòpics de música española, les etiquetes no hi fan cap mena de justícia.

Art painting Data Collection

The classification of Art painting images is a computer vision applications that isgrowing considerably. The goal of this technology, is to classify an art paintingimage automatically, in terms of artistic style, technique used, or its author. For thispurpose, the image is analyzed extracting some visual features. Many articlesrelated with these problems have been issued, but in general the proposed solutionsare focused in a very specific field. In particular, algorithms are tested using imagesat different resolutions, acquired under different illumination conditions. Thatmakes complicate the performance comparison of the different methods. In thiscontext, it will be very interesting to construct a public art image database, in orderto compare all the existing algorithms under the same conditions. This paperpresents a large art image database, with their corresponding labels according to thefollowing characteristics: title, author, style and technique. Furthermore, a tool thatmanages this database have been developed, and it can be used to extract differentvisual features for any selected image. This data can be exported to a file in CSVformat, allowing researchers to analyze the data with other tools. During the datacollection, the tool stores the elapsed time in the calculation. Thus, this tool alsoallows to compare the efficiency, in computation time, of different mathematicalprocedures for extracting image data.

Els apareguts i el culte de les ànimes del Purgatori (segles XIV-XVII). Estudi i edició de textos catalans

Report for the scientific sojourn carried out at the Institut National d'Histoire de l'Art (INHA), France, from 2010 to 2012. It has focused on the analysis and editing of tales of human apparitions from the other world belonging to the Catalan culture or referring to it. We have studied and edited different versions of the process of Esperança Alegre (Lleida, 1500) and the Peregrinació del Venturós Pelegrí. These medieval works have been preserved in sources of the late sixteenth century or later. We have located a manuscript of the Esperança Alegre's tale, unknown to us at the beginning of this research (Biblioteca Nacional de España, ms. 1701), which differs from the version of ms. Baluze 238 of the Bibliothèque Nationale de France. The scribe of the ms. 1701 adds several paragraphs where considers the case as a diabolical phantasmagoria. About the Venturós Pelegrí, we have tried to establish firm criteria for the classification of many editions from the seventeenth to nineteenth centuries. We have been looking for printed books in the libràries of the world and we have made several requests for photographic reproductions, in order to classify undated editions by comparing woodcuts and other decorative elements. In the legend of Prince Charles of Viana (1421-1461), the appearances of his ghost are accompanied by rumors of his poisoning and of his sanctity. In addition, we have studied the cycles of masses for the souls in Purgatory linked to the hagiographies of St. Amadour and St. Vincent Ferrer, as well as the appearances described in L'Ànima d’Oliver of Francesc Moner, in the Carmelite chronicles of Father John of St. Joseph (1642-1718) and in some folktales collected from the eighteenth to the twentieth century. All this have allowed us to verify the evolution of certain cultural paradigms since the Middle Ages to the present.

Geometry-based demosaicking

Demosaicking is a particular case of interpolation problems where, from a scalar image in which each pixel has either the red, the green or the blue component, we want to interpolate the full-color image. State-of-the-art demosaicking algorithms perform interpolation along edges, but these edges are estimated locally. We propose a level-set-based geometric method to estimate image edges, inspired by the image in-painting literature. This method has a time complexity of O(S) , where S is the number of pixels in the image, and compares favorably with the state-of-the-art algorithms both visually and in most relevant image quality measures.

An analysis of visual adaptation and contrast perception for tone mapping

Tone Mapping is the problem of compressing the range of a High-Dynamic Range image so that it can be displayed in a Low-Dynamic Range screen, without losing or introducing novel details: The final image should produce in the observer a sensation as close as possible to the perception produced by the real-world scene. We propose a tone mapping operator with two stages. The first stage is a global method that implements visual adaptation, based on experiments on human perception, in particular we point out the importance of cone saturation. The second stage performs local contrast enhancement, based on a variational model inspired by color vision phenomenology. We evaluate this method with a metric validated by psychophysical experiments and, in terms of this metric, our method compares very well with the state of the art.

Quantifying urban attractiveness from the distribution and density of digital footprints

In the past, sensors networks in cities have been limited to fixed sensors, embedded in particular locations, under centralised control. Today, new applications can leverage wireless devices and use them as sensors to create aggregated information. In this paper, we show that the emerging patterns unveiled through the analysis of large sets of aggregated digital footprints can provide novel insights into how people experience the city and into some of the drivers behind these emerging patterns. We particularly explore the capacity to quantify the evolution of the attractiveness of urban space with a case study of in the area of the New York City Waterfalls, a public art project of four man-made waterfalls rising from the New York Harbor. Methods to study the impact of an event of this nature are traditionally based on the collection of static information such as surveys and ticket-based people counts, which allow to generate estimates about visitors’ presence in specific areas over time. In contrast, our contribution makes use of the dynamic data that visitors generate, such as the density and distribution of aggregate phone calls and photos taken in different areas of interest and over time. Our analysis provides novel ways to quantify the impact of a public event on the distribution of visitors and on the evolution of the attractiveness of the points of interest in proximity. This information has potential uses for local authorities, researchers, as well as service providers such as mobile network operators.

Predictability of music descriptor time series and its application to cover song detection

Intuitively, music has both predictable and unpredictable components. In this work we assess this qualitative statement in a quantitative way using common time series models fitted to state-of-the-art music descriptors. These descriptors cover different musical facets and are extracted from a large collection of real audio recordings comprising a variety of musical genres. Our findings show that music descriptor time series exhibit a certain predictability not only for short time intervals, but also for mid-term and relatively long intervals. This fact is observed independently of the descriptor, musical facet and time series model we consider. Moreover, we show that our findings are not only of theoretical relevance but can also have practical impact. To this end we demonstrate that music predictability at relatively long time intervals can be exploited in a real-world application, namely the automatic identification of cover songs (i.e. different renditions or versions of the same musical piece). Importantly, this prediction strategy yields a parameter-free approach for cover song identification that is substantially faster, allows for reduced computational storage and still maintains highly competitive accuracies when compared to state-of-the-art systems.

Chroma binary similarity and local alignment applied to cover song identification

We present a new technique for audio signal comparison based on tonal subsequence alignment and its application to detect cover versions (i.e., different performances of the same underlying musical piece). Cover song identification is a task whose popularity has increased in the Music Information Retrieval (MIR) community along in the past, as it provides a direct and objective way to evaluate music similarity algorithms.This article first presents a series of experiments carried outwith two state-of-the-art methods for cover song identification.We have studied several components of these (such as chroma resolution and similarity, transposition, beat tracking or Dynamic Time Warping constraints), in order to discover which characteristics would be desirable for a competitive cover song identifier. After analyzing many cross-validated results, the importance of these characteristics is discussed, and the best-performing ones are finally applied to the newly proposed method. Multipleevaluations of this one confirm a large increase in identificationaccuracy when comparing it with alternative state-of-the-artapproaches.

A two-stage approach for tonic identification in indian art music

In this paper we propose a new approach for tonic identification in Indian art music and present a proposal for acomplete iterative system for the same. Our method splits the task of tonic pitch identification into two stages. In the first stage, which is applicable to both vocal and instrumental music, we perform a multi-pitch analysis of the audio signal to identify the tonic pitch-class. Multi-pitch analysisallows us to take advantage of the drone sound, which constantlyreinforces the tonic. In the second stage we estimate the octave in which the tonic of the singer lies and is thusneeded only for the vocal performances. We analyse the predominant melody sung by the lead performer in order to establish the tonic octave. Both stages are individually evaluated on a sizable music collection and are shown toobtain a good accuracy. We also discuss the types of errors made by the method.Further, we present a proposal for a system that aims to incrementally utilize all the available data, both audio and metadata in order to identify the tonic pitch. It produces a tonic estimate and a confidence value, and is iterative in nature. At each iteration, more data is fed into the systemuntil the confidence value for the identified tonic is above a defined threshold. Rather than obtain high overall accuracy for our complete database, ultimately our goal is to develop a system which obtains very high accuracy on a subset of the database with maximum confidence.