Microscòpia d'alta resolució aplicada a anàlisis traceològiques, tafonòmiques i zooarqueològiques

El projecte Microscòpia d'alta resolució aplicada a anàlisis traceològiques, tafonòmiques y zooarqueològiques ha permès donar continuïtat i ampliar la xarxa científica posada en marxa gràcies a dos projectes PBR anteriors entre l’IPHES i quatre centres anglesos: l’Institute of Archaeology del University College of London, el Dept of Prehistory and Europe del British Museum, el Dept of Palaeontology del Natural History Museum, i el Lithic Microwear Research Laboratory de la University of Bradford. El tema tractat ha estat l’avaluació de la resolució i de la possible complementarietat de diferents tècniques avançades de microscòpia per a l’anàlisi de les superfícies d’ossos i eines de pedra prehistòriques: microscòpia òptica, electrònica (SEM i ESEM), microscòpia làser confocal (LSCM) i el sistema Alicona 3D Infinite Imaging. Les diverses accions de mobilitat entre Catalunya i el Regne Unit realitzades han permès satisfactòriament posar en comú els procediments emprats pels diferents especialistes de cada centre. Les proves realitzades sobre materials de jaciments arqueològics clau tant britànics com de l’estat espanyol han permès avaluar els avantatges i limitacions que cada tècnica presentava segons la mostra estudiada (eines de pedra, ossos, dents...) i segons els requeriments específics de l’estudi plantejat. En termes generals, s’ha posat en evidència que les diferents tècniques explorades són força complementàries. És a dir, la gran capacitat d’augments i de resolució d’imatge dels microscopis electrònics es complementa amb unes meravelloses prestacions quant anàlisi de textures, de perfils i de reconstrucció 3D dels altres aparells. La principal conclusió que podem extreure, doncs, és que l’estudi d’aquest tipus d’objectes arqueològics requereix de l’ús combinat de diferents aparells de microscòpia. Tant els treballs realitzats com els contactes entre especialistes establerts al llarg del projecte s’han plasmat ja en treballs concrets, alguns d’ells ja publicats o en fase final de publicació.

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.

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.