Mapping the Dynamics of European Culture - Pressure and Opportunities from the European Enlargement

This paper develops an analytic framework for the ESPON 1.3.3 project “The Role and Spatial Effects of Cultural Heritage and Identity”, started in December 2004 by a network of 12 European Universities under the leadership of Ca’ Foscari University of Venice. The conceptual framework of this project lies on the assumption that the cultural heritage of Europe is not just an ensemble of tangible assets to be defended through passive conservation, but rather an element of dynamism of the territory, affecting trajectories of regional development. Thus the proper identification and valorisation of the cultural heritage of Europe is to be considered an integral component of regional planning, with the potential to increase cohesion within an enlarged European Union. The establishment of an “European identity”, gaining from difference and variety, is also part of this vision. In this light, the ESPON 1.3.3 project sets out to highlight the spatial expressions and effects of heritage assets and identify the (existing or potential) elements of territorial coherence at the regional and local scale, mapping the geographical aspects that are actually strengthening regional identities and networks. This paper introduces a list of regional indicators of the European cultural heritage and identity, reflecting elements such as heritage availability, concentration and diversity, spatial patterns at the local and cross-regional level, local embeddedness of intangible heritage assets, pressures on- and potential for the development of heritage, and the governance structure of the heritage management institutions. Parameters are quantitative and qualitative observation allowing the “ordering” of the territory and thus the identification of regional typologies from the elaboration of different ordering criteria. Indicators will cover multiple dimensions regarding the supply, the demand and the spatial organisation of cultural heritage. Data cover the whole NUTS III regional delimitation. The issue of the territorial cohesion of cultural heritage assets is also addressed, considering the following multiple “dimensions” of the interconnection between different “objects” or carriers of meaning: hardware (the infrastructural system), software (images and actual uses), orgware (organizational networks) and shareware (partnerships that support the process of development). These elements are compiled in a framework or model used to analyse the territorial expressions of cultural heritage and identity.

Embalmed|Unembalmed: the problems of the lived event within media studies 2.0

Media Studies 2.0 seeks to rewire the discipline of media studies from prevailing notions of aggregate third-person, top-down or imposed identities (as found within the domain of industrial mass communications media) toward what it sees as the communication of new bottom-up, first-person or singular reflexive identities favored within the post-fordist, post-industrial spaces of the internet, social networking sites, second life-like domains and computer game spaces. This article will point toward many of the hidden, though still important, intersections between these two supposedly separate conceptions through the use of a case study that throws notions of clean “communication” into question. From this it will go on to argue for a recognition of such new media spaces as better conceptualized through Batailleʼs notion of ʻGeneral Economyʼ and Derridaʼs notion of ʻUndecidabilityʼ, as dually taken forward in the work of Arkady Plotnitsky. The conclusion? Far from modern teletechnologies offering a new sense of micro-community or as channels of individual self-expression (a new Rousseauian or McLuhanesque global village of intimate contact), these emergent teletechnologies serve to further displace or undecide the locus of any signature context of communication, which this article takes as a cause for celebration

Polyphonic Sound Event Detection by using Capsule Neural Networks

Artificial sound event detection (SED) has the aim to mimic the human ability to perceive and understand what is happening in the surroundings. Nowadays, Deep Learning offers valuable techniques for this goal such as Convolutional Neural Networks (CNNs). The Capsule Neural Network (CapsNet) architecture has been recently introduced in the image processing field with the intent to overcome some of the known limitations of CNNs, specifically regarding the scarce robustness to affine transformations (i.e., perspective, size, orientation) and the detection of overlapped images. This motivated the authors to employ CapsNets to deal with the polyphonic-SED task, in which multiple sound events occur simultaneously. Specifically, we propose to exploit the capsule units to represent a set of distinctive properties for each individual sound event. Capsule units are connected through a so-called "dynamic routing" that encourages learning part-whole relationships and improves the detection performance in a polyphonic context. This paper reports extensive evaluations carried out on three publicly available datasets, showing how the CapsNet-based algorithm not only outperforms standard CNNs but also allows to achieve the best results with respect to the state of the art algorithms