999 resultados para Art Conservation
Resumo:
Treball de màster que planteja la museïtzació d'un espai ja existent, el Castell Palau Episcopal de la Bisbal d’Empordà, amb l'objectiu de recuperar la seva memòria i contribuir a la dinamització del casc antic i conseqüentment la del municipi i el de les seves rodalies
Resumo:
Aquest paper es divideix en 3 parts fonamentals, la primera relata el que pretén mostrar aquest estudi, que és aplicar els sistemes actuals de reconeixement facial en una base de dades d'obres d'art. Explica quins mètodes s'utilitzaran i perquè es interessant realitzar aquest estudi. La segona passa a mostrar el detall de les dades obtingudes en l'experiment, amb imatges i gràfics que facilitaran la comprensió. I en l'última part tenim la discussió dels resultats obtinguts en l'anàlisi i les seves posteriors conclusions.
Resumo:
Conservation in the city is challenging because of a continued view that the urban realm is antithetical to nature. This was clearly the case when the first Swiss National Park was established at the beginning of the 20th century. New Swiss legislation brought new approaches to the establishment of natural parks, in particular by including human activities as a logical component in their development. In 2010, a Federal think tank discussed opportunities for launching a new kind of park: the Urban Natural Park. This paper reports an analysis of this discussion, together with the study of the literature dealing with conservation in the city and natural parks. It shows that a clear antagonism between city and nature still remains present, reflected in an implicit hierarchy hidden in the designation of natural parks: wild nature is nominated as the best nature; if not wild, the best nature is identified as rural; if neither wild nor rural, nature is thought not to be the concern of natural park policy. The Swiss Biodiversity Strategy implemented in 2012 is a recent recognition of the importance of urban nature for biodiversity conservation. This recognition, however, condemns urban nature to a special status, situated outside the usual framework of conservation management. I conclude by arguing that anti-urban bias must be addressed because it inhibits effective conservation strategy, prevents the identification of existing environmental qualities of cities and, eventually, has negative impacts on biological conservation outside the city because it fosters urban spreading.
Resumo:
International conservation organisations have identified priority areas for biodiversity conservation. These global-scale prioritisations affect the distribution of funds for conservation interventions. As each organisation has a different focus, each prioritisation scheme is determined by different decision criteria and the resultant priority areas vary considerably. However, little is known about how the priority areas will respond to the impacts of climate change. In this paper, we examined the robustness of eight global-scale prioritisations to climate change under various climate predictions from seven global circulation models. We developed a novel metric of the climate stability for 803 ecoregions based on a recently introduced method to estimate the overlap of climate envelopes. The relationships between the decision criteria and the robustness of the global prioritisation schemes were statistically examined. We found that decision criteria related to level of endemism and landscape fragmentation were strongly correlated with areas predicted to be robust to a changing climate. Hence, policies that prioritise intact areas due to the likely cost efficiency, and assumptions related to the potential to mitigate the impacts of climate change, require further examination. Our findings will help determine where additional management is required to enable biodiversity to adapt to the impacts of climate change
Resumo:
This paper describes a systematic research about free software solutions and techniques for art imagery computer recognition problem.
Resumo:
A partir de l'anàlisi comparatiu de l'obra de dos grans teòrics de la modernitat i la postmodernitat com són Clement Greenberg i Arthur C. Danto es fa un estudi de com aquests dos autors han arribat a construir els seus discursos i, en relació a això, com ha anat evolucionant el concepte d'art de la modernitat a la postmodernitat. La qüestió central que se'ns planteja és: què ha canviat en la idea d'art de la postmodernitat respecte a la idea o a la concepció d'art anterior, per arribar-nos a qüestionar si realment hi ha art i, si n'hi ha, què és art i que no ho és? Existeix una idea universal de què ha de ser art? O aquesta és una qüestió intrínsicament relacionada amb la societat en què es produeix; en aquest cas, la societat occidental?
Resumo:
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.