A method for extracting semantic information from on-line art music discussion forums

In this paper a method for extracting semantic informationfrom online music discussion forums is proposed. The semantic relations are inferred from the co-occurrence of musical concepts in forum posts, using network analysis. The method starts by defining a dictionary of common music terms in an art music tradition. Then, it creates a complex network representation of the online forum by matchingsuch dictionary against the forum posts. Once the complex network is built we can study different network measures, including node relevance, node co-occurrence andterm relations via semantically connecting words. Moreover, we can detect communities of concepts inside the forum posts. The rationale is that some music terms are more related to each other than to other terms. All in all, this methodology allows us to obtain meaningful and relevantinformation from forum discussions.

Música i fotografia

La relació entre la música i les arts plàstiques s'ha donat des de diverses perspectives al llarg de la història. Després d'analitzar en quins aspectes i amb quina finalitat s'han basat aquestes relacions, proposo una nova aproximació entre la música i la fotografia, basada en els paràmetres morfològics i formals d'aquesta per buscar una relació el més objectiva possible. A partir d'aquesta equivalència defenso la idea de que el coneixement del llenguatge d'una altra forma artística ens pot permetre enriquir el nostre propi llenguatge, aplicant en aquest cas a la música, aquells elements característics de la fotografia. Finalment poso en pràctica aquesta equivalència, per experimentar fins a quin punt ens pot ajudar a enriquir el nostre llenguatge.

Espais femenins en l'obra de Paul Gauguin

La societat actual figura arrelada a un discurs sobre el femení, que desenvolupat durant el segle XVIII s'ha anat obrint camí insistentment a través de les imatges. A través de l'obra del pintor Paul Gauguin aquest treball presten mostrar que el confinament de la dona a l'espai domèstic i la pretesa relació d'aquesta amb altres elements és fruit de la mateixa ideologia que confina a la dona a l'espai privat i a l'home a l'espai públic.

La educación para la salud como objeto de estudio histórico : proyecto de investigación

Objetivo: El objetivo es presentar el proyecto de investigación cuyo propósito es conocer la evolución de la Educación para la salud (EpS) desde la antigüedad hasta la época contemporánea, con el fin de identificar y comprender la génesis y construcción de la disciplina. Método: Se trata de un estudio cualitativo histórico enmarcado en el paradigma interpretativo etnohistórico y hermenéutico. Los pilares básicos en que se enmarca conceptualmente, son la Educación, la Persona, grupo o comunidad y la Salud. El espacio social, es aquel en que los grupos sociales vivían y el estructural-temporal, las épocas históricas: prehistoria, antigüedad (culturas antiguas y clásicas), edad media, renacimiento y contemporánea hasta pasada la Guerra Civil española (1940). El sujeto de estudio es la EpS a partir de los elementos que la conforman: el concepto de salud, las creencias, los conocimientos sanitarios, las intervenciones y los recursos educativos para la salud de les personas y los grupos sociales en cada una de las épocas históricas a estudio. Las fuentes utilizadas son las indirectas, materiales-arqueológicas y culturales: verbales (escritas) y no verbales (semiológicas/audiovisuales) y las no seriadas. La recogida de información a través de técnicas de investigación histórica cualitativa: la observación y análisis documental bibliográfico, iconográfico de archivos, prensa, publicaciones oficiales, textos bibliográficos y técnicas textuales-filosóficas: análisis de contenido y crítica histórica. El análisis de la información será cronológico y mediante una clasificación por temáticas y periodos históricos.

Towards an emotion-driven interactive music system: ridging the gaps between affect, physiology and sound generation

Report for the scientific sojourn at the Stanford University from January until June 2007. Music is well known for affecting human emotional states, yet the relationship between specific musical parameters and emotional responses is still not clear. With the advent of new human-computer interaction (HCI) technologies, it is now possible to derive emotion-related information from physiological data and use it as an input to interactive music systems. Providing such implicit musical HCI will be highly relevant for a number of applications including music therapy, diagnosis, nteractive gaming, and physiologically-based musical instruments. A key question in such physiology-based compositions is how sound synthesis parameters can be mapped to emotional states of valence and arousal. We used both verbal and heart rate responses to evaluate the affective power of five musical parameters. Our results show that a significant correlation exists between heart rate and the subjective evaluation of well-defined musical parameters. Brightness and loudness showed to be arousing parameters on subjective scale while harmonicity and even partial attenuation factor resulted in heart rate changes typically associated to valence. This demonstrates that a rational approach to designing emotion-driven music systems for our public installations and music therapy applications is possible.

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.

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.

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.

La influencia de Alexey Brodovitch como art director en los editoriales de moda

El present treball analitza la història de la comunicació visual fins els nostres dies i l’aparició i importància del disseny gràfic i la direcció d’art en el mon al voltant del periodisme de moda. L’objectiu és esbrinar cóm ha arribat a influir el disseny en els editorials de moda y per això és realitza un estudi del Art Director Alexey Brodovitch y el seu treball per a la revista Harper’s Bazaar.

Sobre el Art Director. Paradigmas creativos: W. Addison, P. Rand y F. Depero

El present projecte descriu els inicis de la comunicació visual i la importància d’aquesta per els comerços que van néixer a rel de la Revolució Industrial. Analitza el moviment modern i l’aparició de la figura del Art Director als Estats Units en una època liderada per l’Avantguardisme i el Futurisme. S’endinsa en els treballs de tres figures importants en el món del disseny gràfic: William Addison, Paul Rand i Fortunato Depero. L’objectiu d’aquest treball es mostrar la influencia d’aquestes figures en la publicitat.

Imaginarios visuales. Espacios de representación en la comunicación visual: el cartelismo en sus orígenes

El present treball de recerca estudia l'evolució del cartell com a mitjà de comunicació des de finals del segle XIX fins a mitjans del XX. En el transcurs d'aquest anàlisi es posa de manifest la importància que va tenir aquest mitjà per a la transmissió ideològica en els nivells artístic, publicitari i de propaganda política. Considerarem els múltiples moviments artístics apareguts en aquest període històric, que van constituir innovadores fonts d'inspiració, una influència que s'estén fins als nostres dies. El cartell treu a l'art dels museus i el converteix en un producte de consum quotidià al voltant del món, gràcies a múltiples artistes, tant coneguts com desconeguts, i la seva creativitat impregna tots els objectes que ens envolten. És a través del recorregut històric que proposem, quan ens descobrim com a espectadors i protagonistes de la major revolució artística que ha existit en els dos últims segles.

Arts Fusió : una proposta didàctica transdisciplinària a través d’un procés d’aprenentatge creatiu

Arts Fusió és un projecte pedagògic entorn a la transdisciplinarietat artística, consistent en una recerca al voltant d'aquest concepte i dels valors formatius que aporta en processos d'aprenentatge creatiu. A partir d'aquí hem creat uns principis metodològics per orientar una didàctica cap a la fusió del teatre, la dansa, la música i les arts visuals. Per posar de manifest els beneficis de la nostra proposta hem realitzat aplicacions didàctiques en educacio artística superior i en educació secundària obligatòria. Metodològicament ens situem en el paradigma de la complexitat i basem les intervencions en una perspectiva qualitativa exploratòria, en concret dintre de la línia de la investigació avaluativa. Com a resultats del treball hem vist que la transdisciplinarietat artística pot actuar com a mitjà i com a fi educatiu segons el context en el que ens trobem.

A Monte Carlo method for accelerating the computation of animated radiosity sequences

Realistic rendering animation is known to be an expensive processing task when physically-based global illumination methods are used in order to improve illumination details. This paper presents an acceleration technique to compute animations in radiosity environments. The technique is based on an interpolated approach that exploits temporal coherence in radiosity. A fast global Monte Carlo pre-processing step is introduced to the whole computation of the animated sequence to select important frames. These are fully computed and used as a base for the interpolation of all the sequence. The approach is completely view-independent. Once the illumination is computed, it can be visualized by any animated camera. Results present significant high speed-ups showing that the technique could be an interesting alternative to deterministic methods for computing non-interactive radiosity animations for moderately complex scenarios

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.

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.