Scenes of provincial life: an online video sequence and commentary

I present here a sequence of short videos, Scenes of Provincial Life, forming a unified, ongoing online work. In my written commentary I discuss the work‘s context, genesis and facture and presentation and thereby demonstrate its claim to originality as art work. I go on to suggest one possible interpretive framework for it. I then discuss the nature of art works as candidates for the generation of new knowledge and conclude that art works in general fulfil this function, in a very carefully defined way, as a necessary condition of being art works. I further connect the success of any work as art work with the richness of its knowledge generating capacity, inseparably allied to its aesthetic force. I conclude that if Scenes of Provincial Life is seen to have value as artwork it will therefore by definition be a creator of new knowledge.

Transformative realism: reflections of reality in political avant-garde and contemporary fine art film - Spanish Labyrinth, south from Granada

A turn towards documentary modes of practice amongst contemporary fine art video and filmmakers towards the end of the 20th Century, led to moving image works that represent current social realities. This drew some comparisons of these forms of art to journalism and industrial documentary. The practical research is embodied in a single screen film that responds to recent political and ecological realities in Spain. These include the mass demonstrations that led to the occupation of Madrid’s Plaza del Sol and Spain’s in 2011 and largest recorded forest fires that spread through Andalusia in August of the following year. The film, titled Spanish Labyrinth, South from Granada, is a response to these events and also relates to political avant-garde film of the 1930’s by re-tracing a journey undertaken by three revolutionary filmmakers, Yves Allegret, René Naville and Eli Lotar, in 1931. The theoretical research for this project establishes an historical root of artists’ film that responds to current social realities, in contrast to news media, in the Soviet and European avant-garde movements of the 1920s and 1930s. The main aim of this method is to argue the status of the works that I identify, both avant-garde and contemporary, as a form of art that preceded a Griersonian definition of documentary film.

La suggestion de pistes narratives - Comment évoquer une histoire, un souvenir, un instant en art vidéo

L’essentiel de ce texte se veut une réflexion sur la manière de raconter une histoire ou, plutôt, de l’évoquer : un questionnement qui fonde ma pratique de l’image photographique et vidéographique. Afin de mener à bien cette réflexion, plusieurs aspects de mon questionnement par rapport à l’image seront abordés : la notion de véracité historique, l’image photographique, l’image d’archives, la complexité, un « univers de possibles », ainsi que l’analyse de ma méthodologie de travail. Cet approfondissement théorique sera développé de connivence avec ma pratique visuelle qui, dans le cadre de ma maîtrise en arts visuels, s’est principalement déployée sous la forme de l’installation vidéographique. Mots-clés : histoire, archives, évocation, complexité, art vidéographique.

Mardelle Shepley: Art+Science

Mardelle Shepley, associate director of the Cornell Institute for Healthy Futures and professor of design and environmental analysis, presents at the Cornell Family Fellows event, "Where Art, Science, and Technology Intersect – Fostering Innovation at Cornell," on April 30, 2016. When campus leaders link art, science, and technology through interdisciplinary collaboration and experimentation, extraordinary advancements emerge.

Two Women; On the Cinematic Experience in Installation Art

Thesis (Ph.D.)--University of Washington, 2016-07

A series of performances in 'Translating Reviews from 1990: Art Forum'

Participation in group exhibition themed around the 25th anniversary of the Elba Benitez Gallery in Madrid. My work comprised a series of performances in which I translated reviews from the magazine Art Forum from 1990. The performances took place in various locations in London, throughout the run of the exhibition, and were streamed live to an iPad in the gallery in Madrid. I made audio visual recordings of the performances via the streaming media, which located me as the performer alongside the viewers in a single split image. These recordings were then archived in a shared folder held between the gallery and me, and which visitors to the exhibition could access when a performance was not taking place. The work extends my concerns with translation and performance, and with a consideration of how the mechanism of the gallery and the exhibition might be used to generate innovative viewing engagements facilitated by technology. The work also attempts to develop thinking and practice around the relationship between art works and their documentation - in this case the documentation and even its potential for distribution is generated as the work comes into being. The exhibition included works by Ignasi Aballí, Armando Andrade Tudela,Lothar Baumgarten, Carlos Bunga, Cabello/Carceller, Juan Cruz, Gintaras Didžiapetris, Fernanda Fragateiro, Hreinn Fridfinnsson, Carlos Garaicoa,Mario García Torres, David Goldblatt, Cristina Iglesias,Ana Mendieta, Vik Muniz, Ernesto Neto, Francisco Ruiz de Infante,Alexander Sokurov, Francesc Torres and Valentín Vallhonrat.

"Ich sehe was, was Du nicht siehst…“ – Was Rineke Dijkstra mit ihrem Video I see a woman crying (Weeping Woman) vor Augen führt

Die Autorin interpretiert das Video "I see a woman crying (Weeping Woman)" der niederländischen Künstlerin Rinke Dijkstra unter Aspekten des Bildungsprozesses von Kindern. In der sequentiellen Erschließung einzelner Szenen des Videos kann gezeigt werden, wie ein Gespräch von Kindern ein Kunstwerk thematisiert. Damit wird mit künstlerisch-ästhetischen Mitteln das Bildungsproblem inszeniert. (DIPF/Autor)

Deep convolutional neural networks for semantic video object segmentation

In this thesis, we propose to infer pixel-level labelling in video by utilising only object category information, exploiting the intrinsic structure of video data. Our motivation is the observation that image-level labels are much more easily to be acquired than pixel-level labels, and it is natural to find a link between the image level recognition and pixel level classification in video data, which would transfer learned recognition models from one domain to the other one. To this end, this thesis proposes two domain adaptation approaches to adapt the deep convolutional neural network (CNN) image recognition model trained from labelled image data to the target domain exploiting both semantic evidence learned from CNN, and the intrinsic structures of unlabelled video data. Our proposed approaches explicitly model and compensate for the domain adaptation from the source domain to the target domain which in turn underpins a robust semantic object segmentation method for natural videos. We demonstrate the superior performance of our methods by presenting extensive evaluations on challenging datasets comparing with the state-of-the-art methods.

Efficient Image and Video Representations for Retrieval

Image (Video) retrieval is an interesting problem of retrieving images (videos) similar to the query. Images (Videos) are represented in an input (feature) space and similar images (videos) are obtained by finding nearest neighbors in the input representation space. Numerous input representations both in real valued and binary space have been proposed for conducting faster retrieval. In this thesis, we present techniques that obtain improved input representations for retrieval in both supervised and unsupervised settings for images and videos. Supervised retrieval is a well known problem of retrieving same class images of the query. We address the practical aspects of achieving faster retrieval with binary codes as input representations for the supervised setting in the first part, where binary codes are used as addresses into hash tables. In practice, using binary codes as addresses does not guarantee fast retrieval, as similar images are not mapped to the same binary code (address). We address this problem by presenting an efficient supervised hashing (binary encoding) method that aims to explicitly map all the images of the same class ideally to a unique binary code. We refer to the binary codes of the images as `Semantic Binary Codes' and the unique code for all same class images as `Class Binary Code'. We also propose a new class­ based Hamming metric that dramatically reduces the retrieval times for larger databases, where only hamming distance is computed to the class binary codes. We also propose a Deep semantic binary code model, by replacing the output layer of a popular convolutional Neural Network (AlexNet) with the class binary codes and show that the hashing functions learned in this way outperforms the state­ of ­the art, and at the same time provide fast retrieval times. In the second part, we also address the problem of supervised retrieval by taking into account the relationship between classes. For a given query image, we want to retrieve images that preserve the relative order i.e. we want to retrieve all same class images first and then, the related classes images before different class images. We learn such relationship aware binary codes by minimizing the similarity between inner product of the binary codes and the similarity between the classes. We calculate the similarity between classes using output embedding vectors, which are vector representations of classes. Our method deviates from the other supervised binary encoding schemes as it is the first to use output embeddings for learning hashing functions. We also introduce new performance metrics that take into account the related class retrieval results and show significant gains over the state­ of­ the art. High Dimensional descriptors like Fisher Vectors or Vector of Locally Aggregated Descriptors have shown to improve the performance of many computer vision applications including retrieval. In the third part, we will discuss an unsupervised technique for compressing high dimensional vectors into high dimensional binary codes, to reduce storage complexity. In this approach, we deviate from adopting traditional hyperplane hashing functions and instead learn hyperspherical hashing functions. The proposed method overcomes the computational challenges of directly applying the spherical hashing algorithm that is intractable for compressing high dimensional vectors. A practical hierarchical model that utilizes divide and conquer techniques using the Random Select and Adjust (RSA) procedure to compress such high dimensional vectors is presented. We show that our proposed high dimensional binary codes outperform the binary codes obtained using traditional hyperplane methods for higher compression ratios. In the last part of the thesis, we propose a retrieval based solution to the Zero shot event classification problem - a setting where no training videos are available for the event. To do this, we learn a generic set of concept detectors and represent both videos and query events in the concept space. We then compute similarity between the query event and the video in the concept space and videos similar to the query event are classified as the videos belonging to the event. We show that we significantly boost the performance using concept features from other modalities.

Are Videogames Art?

My dissertation defends a positive answer to the question: “Can a videogame be a work of art? ” To achieve this goal I develop definitions of several concepts, primarily ‘art’, ‘games’, and ‘videogames’, and offer arguments about the compatibility of these notions. In Part One, I defend a definition of art from amongst several contemporary and historical accounts. This definition, the Intentional-Historical account, requires, among other things, that an artwork have the right kind of creative intentions behind it, in short that the work be intended to be regarded in a particular manner. This is a leading account that has faced several recent objections that I address, particular the buck-passing theory, the objection against non-failure theories of art, and the simultaneous creation response to the ur-art problem, while arguing that it is superior to other theories in its ability to answer the question of videogames’ art status. Part Two examines whether games can exhibit the art-making kind of creative intention. Recent literature has suggested that they can. To verify this a definition of games is needed. I review and develop the most promising account of games in the literature, the over-looked account from Bernard Suits. I propose and defend a modified version of this definition against other accounts. Interestingly, this account entails that games cannot be successfully intended to be works of art because games are goal-directed activities that require a voluntary selection of inefficient means and that is incompatible with the proper manner of regarding that is necessary for something to be an artwork. While the conclusions of Part One and Part Two may appear to suggest that videogames cannot be works of art, Part Three proposes and defends a new account of videogames that, contrary to first appearances, implies that not all videogames are games. This Intentional-Historical Formalist account allows for non-game videogames to be created with an art-making intention, though not every non-ludic videogame will have an art-making intention behind it. I then discuss examples of videogames that are good candidates for being works of art. I conclude that a videogame can be a work of art, but that not all videogames are works of art. The thesis is significant in several respects. It is a continuation of academic work that has focused on the definition and art status of videogames. It clarifies the current debate and provides a positive account of the central issues that has so far been lacking. It also defines videogames in a way that corresponds better with the actual practice of videogame making and playing than other definitions in the literature. It offers further evidence in defense of certain theories of art over others, providing a close examination of videogames as a new case study for potential art objects and for aesthetic and artistic theory in general. Finally, it provides a compelling answer to the question of whether videogames can be art. This project also provides the groundwork for new evaluative, critical, and appreciative tools for engagement with videogames as they develop as a medium. As videogames mature, more people, both inside and outside academia, have increasing interest in what they are and how to understand them. One place many have looked is to the practice of art appreciation. My project helps make sense of which appreciative and art-critical tools and methods are applicable to videogames.

Engineered Nanoparticles And Organic Matter: A Review Of The State-of-the-art.

Growth in the development and production of engineered nanoparticles (ENPs) in recent years has increased the potential for interactions of these nanomaterials with aquatic and terrestrial environments. Carefully designed studies are therefore required in order to understand the fate, transport, stability, and toxicity of nanoparticles. Natural organic matter (NOM), such as the humic substances found in water, sediment, and soil, is one of the substances capable of interacting with ENPs. This review presents the findings of studies of the interaction of ENPs and NOM, and the possible effects on nanoparticle stability and the toxicity of these materials in the environment. In addition, ENPs and NOM are utilized for many different purposes, including the removal of metals and organic compounds from effluents, and the development of new electronic sensors and other devices for the detection of active substances. Discussion is therefore provided of some of the ways in which NOM can be used in the production of nanoparticles. Although there has been an increase in the number of studies in this area, further progress is needed to improve understanding of the dynamic interactions between ENPs and NOM.

Metodo de sincronização de cameras de video utilizando a banda de audio

Universidade Estadual de Campinas . Faculdade de Educação Física

Metodologia para descrição tridimensional do movimento humano a partir de cameras de video não sincronizadas

Universidade Estadual de Campinas. Faculdade de Educação Física

PAH biomarkers for human health risk assessment: a review of the state-of-the-art

Polycyclic aromatic hydrocarbons (PAH) are widely distributed in the environment, and some are carcinogenic to human beings. The study of biomarkers has helped clarify the nature and magnitude of the human health risks posed by such substances. This article provides a review of the state-of-the-art on PAH biomarkers for human health risk assessment and also discusses their applicability within the context of environmental management in Brazil. The article discusses the methodologies for determination of some biomarkers such as 1-hydroxypyrene and PAH-DNA adducts. Cytogenetic markers, frequency of chromosomal aberrations, and micronucleus induction were considered for the evaluation of cancer risk. The current stage of studies on validation of such biomarkers was also approached.

Art déco e indústria: Brasil, décadas de 1930 e 1940

Este artigo analisa as características assumidas pela arquitetura de tendência art déco em construções ligadas à indústria - moradias, igrejas, escolas, clubes, fábricas etc. - erguidas no Brasil nas décadas de 1930 e 1940, investigando o repertório formal utilizado em diferentes tipologias. Faz uma análise mais detalhada das construções criadas pela Companhia Industrial Fiação de Tecidos Goyanna, em Pernambuco, no período entre 1937 e o final da década de 1940. Trata-se de um conjunto notável pela unidade formal, vinculada à linguagem art déco, e pelo emprego de soluções inovadoras em termos de forma e de programa.