Lisbon Street Art & Urban Creativity. 2014 International Conference

Disponível para consulta - índice e introdução.

Going Public: Conservation of Contemporary Artworks. Between Backstage and Frontstage in Contemporary Art Museums

In museum studies and history of art, what happens behind the scenes of museums stays relatively unseen and unspoken about. In the arts, generally speaking, what is dismissed as irrelevant (e.g. the realm of practices) is deliberately detached from what is thought to really matter; theory, discourse, content and meaning. Up till recently, backstage activities such as conservation practices are merely discussed among specialists and museum professionals. Only the outcomes of these discussions are sometimes – if at all – explicitly communicated to a larger public. Studies into the practices of contemporary art conservation however show that practices behind the scenes play an important role in the perpetuation of these artworks. What happens behind the scenes in terms of conservation has, in several ways, important effects on the ongoing life of these artworks in a museum context. Conservation practices, I argue, should therefore become a necessary part of museum studies and history of art. How can the working practices of conservators become more visible and transparent to a diversity of audiences, including researchers? And what does this mean in terms of research methodology?

Recensão: Peter Goldie e Elisabeth Schellekens, Who’s Afraid of Conceptual Art?

Recensão de: Peter Goldie e Elisabeth Schellekens, Who’s Afraid of Conceptual Art?, Londres e Nova Iorque: Routledge, 2010

Incoherences of the Art World

Fundação para a Ciência e a Tecnologia (FCT), Fundação Millennium bcp

The names of things: terminology and the practice of art history

This paper aims to explore the ways in which standard art history terminology shapes the practice of art history by conditioning the interpretation of specific works of art and, in certain cases, the definition of a research subject (especially where questions of genre and periodization are concerned). Taking as a case study a painting by Georges de La Tour, the Peasant Couple Eating, I will argue that terms such as realism, realistic, naturalistic etc. used for its description and/or interpretation, far from constituting objective stylistic characterizations, shape our perception of the work in question. Bringing the question of social class to the center of the discourse on realism, I propose to show how the social divide between the painter and his subject matter (in this case, the peasants) is internalized in the painting’s style and meaning, and how it is fundamental for the understanding of its intentionality and function.

The perfect paint in modern art conservation: a comparative study of 21st century vinyl emulsions

Contemporary painting places, and will continue to place, several questions about its meaning, its chemical nature, its durability and the best way to preserve it. This research aims at putting together comprehensive data on vinyl based paints, including their components, their properties, their aging behavior and their response to selected cleaning products. In this project degradation mechanisms of vinyl binders and formulations used in the 20th and 21st century were studied. Stability over time of selected vinyl polymers was assessed through natural indoor and artificially aging. The objective was to enhance knowledge and understanding of vinyl emulsion formulations and their performance over time. Overall conservation state of pictorial layers namely, adhesion, cohesion and discoloration of selected case studies from the Portuguese artist Julião Sarmento (b.1948) was correlated with the observed molecular level changes studied in laboratory experiments. Sarmento’s paintings were chosen due to conservation concerns (discoloration) on some of his works from the 90’s. Besides, research was carried out to start increasing the knowledge of what can be expected of PVAc based paints in terms of response to conservation treatments namely, surface cleaning. Artificial aging showed that the most recent formulations which are based on a poly(vinyl acetate), poly(vinyl chloride) and polyethylene terpolymer are less stable when compared to some homopolymer formulations. From the four pigments studied, titanium dioxide rutile and a carbon based black proved to be stabilizers for both types of polymer. The mixture lithopone plus calcium carbonate has showed to have a photocatalytic effect on the binders. The studied paintings showed to be in an overall good state of conservation except for the paintings created in the 90’s with white glue and a mixture of white lithoponeand calcium carbonate. Discoloration of this white paint seems to be irreversible and ongoing and is still a major concern. The disapearance of the plasticizer was the only change detected. The current works created by Sarmento are expected to be more stable as they were painted using the rutile titanium dioxide. Immersion/cleaning tests showed that vinyl based paints can be susceptible to water and organic solvents like ethanol as some evidences point to the removal/diffusion of additives from the paint. The observations made point to the need to further proceed in this research field.

History of Art and Art Criticism: A System in Crisis

This article aims to reconstruct the critical debate regarding the examination of the crisis in the disciplines of art history and criticism with a particular focus on the proposal formulated by U.S. theorists who contributed to October journal. The discrediting of many modernist critical methods, particularly that of Clement Greenberg – the formalist diktat – marked the birth of the journal and gave rise to proposals set forth by critics committed to a new approach. Their divergent positions, nonetheless, have contributed to undermining the traditional concepts of the autonomy of art and criticism. The proposals discussed over the course of publication were the result of a reappraisal of the disciplinary instruments of art history and criticism pursuant to the crucial cultural changes which took place in the 1980s.

Recensão: Claire Bishop, "Radical Museology: or What’s ‘Contemporary’ In Museums of Contemporary Art?"

Recensão de: Claire Bishop, "Radical Museology: or What’s ‘Contemporary’ In Museums of Contemporary Art?", Londres: Koenig Books, 2013

Hand gesture recognition for human computer interaction : a comparative study of different image features

Hand gesture recognition for human computer interaction, being a natural way of human computer interaction, is an area of active research in computer vision and machine learning. This is an area with many different possible applications, giving users a simpler and more natural way to communicate with robots/systems interfaces, without the need for extra devices. So, the primary goal of gesture recognition research is to create systems, which can identify specific human gestures and use them to convey information or for device control. For that, vision-based hand gesture interfaces require fast and extremely robust hand detection, and gesture recognition in real time. In this study we try to identify hand features that, isolated, respond better in various situations in human-computer interaction. The extracted features are used to train a set of classifiers with the help of RapidMiner in order to find the best learner. A dataset with our own gesture vocabulary consisted of 10 gestures, recorded from 20 users was created for later processing. Experimental results show that the radial signature and the centroid distance are the features that when used separately obtain better results, with an accuracy of 91% and 90,1% respectively obtained with a Neural Network classifier. These to methods have also the advantage of being simple in terms of computational complexity, which make them good candidates for real-time hand gesture recognition.

Hand gesture recognition system based in computer vision and machine learning

"Lecture notes in computational vision and biomechanics series, ISSN 2212-9391, vol. 19"

Generic system for human-computer gesture interaction: applications on sign language recognition and robotic soccer refereeing

Hand gestures are a powerful way for human communication, with lots of potential applications in the area of human computer interaction. Vision-based hand gesture recognition techniques have many proven advantages compared with traditional devices, giving users a simpler and more natural way to communicate with electronic devices. This work proposes a generic system architecture based in computer vision and machine learning, able to be used with any interface for human-computer interaction. The proposed solution is mainly composed of three modules: a pre-processing and hand segmentation module, a static gesture interface module and a dynamic gesture interface module. The experiments showed that the core of visionbased interaction systems could be the same for all applications and thus facilitate the implementation. For hand posture recognition, a SVM (Support Vector Machine) model was trained and used, able to achieve a final accuracy of 99.4%. For dynamic gestures, an HMM (Hidden Markov Model) model was trained for each gesture that the system could recognize with a final average accuracy of 93.7%. The proposed solution as the advantage of being generic enough with the trained models able to work in real-time, allowing its application in a wide range of human-machine applications. To validate the proposed framework two applications were implemented. The first one is a real-time system able to interpret the Portuguese Sign Language. The second one is an online system able to help a robotic soccer game referee judge a game in real time.

Generic system for human-computer gesture interaction

Hand gestures are a powerful way for human communication, with lots of potential applications in the area of human computer interaction. Vision-based hand gesture recognition techniques have many proven advantages compared with traditional devices, giving users a simpler and more natural way to communicate with electronic devices. This work proposes a generic system architecture based in computer vision and machine learning, able to be used with any interface for humancomputer interaction. The proposed solution is mainly composed of three modules: a pre-processing and hand segmentation module, a static gesture interface module and a dynamic gesture interface module. The experiments showed that the core of vision-based interaction systems can be the same for all applications and thus facilitate the implementation. In order to test the proposed solutions, three prototypes were implemented. For hand posture recognition, a SVM model was trained and used, able to achieve a final accuracy of 99.4%. For dynamic gestures, an HMM model was trained for each gesture that the system could recognize with a final average accuracy of 93.7%. The proposed solution as the advantage of being generic enough with the trained models able to work in real-time, allowing its application in a wide range of human-machine applications.

A proactive intelligent decision support system for predicting the popularity of online news

"Lecture notes in computer science series, ISSN 0302-9743, vol. 9273"

Dynamic group formation in mobile computer supported collaborative learning environment

Forming suitable learning groups is one of the factors that determine the efficiency of collaborative learning activities. However, only a few studies were carried out to address this problem in the mobile learning environments. In this paper, we propose a new approach for an automatic, customized, and dynamic group formation in Mobile Computer Supported Collaborative Learning (MCSCL) contexts. The proposed solution is based on the combination of three types of grouping criteria: learner’s personal characteristics, learner’s behaviours, and context information. The instructors can freely select the type, the number, and the weight of grouping criteria, together with other settings such as the number, the size, and the type of learning groups (homogeneous or heterogeneous). Apart from a grouping mechanism, the proposed approach represents a flexible tool to control each learner, and to manage the learning processes from the beginning to the end of collaborative learning activities. In order to evaluate the quality of the implemented group formation algorithm, we compare its Average Intra-cluster Distance (AID) with the one of a random group formation method. The results show a higher effectiveness of the proposed algorithm in forming homogenous and heterogeneous groups compared to the random method.