5 resultados para sosiology of art

em Doria (National Library of Finland DSpace Services) - National Library of Finland, Finland


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Presentation at Open Repositories 2014, Helsinki, Finland, June 9-13, 2014

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Kirjallisuusarvostelu

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Visual art practice has generally been described as a lonely affair, thinking about what an artist has experienced in the outside world. This study is an inquiry into a visual art practice of another kind: the relational one. The research purpose is twofold. The first purpose is to shed light on a visual artist’s conceptions of art, education and scholarship. The second purpose is to by reasoning on imagination and a rhizomatic formation interpret the relations created between art, multimodality and literacy learning as an aesthetic approach to education. By inquiry into a specific collaborated long-term art practice, the study conveys how the meaning making elements of an arts based learning practice gradually transform an artist’s and a teacher’s concepts of art education to an aesthetic approach to education. In the art practice examined the typical Finnish rye bread and a poem have represented a cultural theme that has been elaborated through art conventions. The poem and the rye bread have in the art practice been articulated as cultural representations of as well as symbolic projections on the Swedishspeaking minority culture in Finland. The study connects art informed inquiry to a hermeneutic research rationale where the research reasoning is generated through a rhizomatic alliance between empiric data and theories. The reasoning is constructed as an interpretation pattern that expands throughout the study. The study arguments that the rhizome as an aesthetic formation can be appropriate to refer to when articulating arts based meaning making and when creating arts based educational strategies, dialogues, aesthetic learning and multimodal literacy in education. The study investigates an aesthetic approach to research in education, which means that the art practice surveyed is interpreted through articulation appropriate to poetic aspects of art, education and research.

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This thesis presents a framework for segmentation of clustered overlapping convex objects. The proposed approach is based on a three-step framework in which the tasks of seed point extraction, contour evidence extraction, and contour estimation are addressed. The state-of-art techniques for each step were studied and evaluated using synthetic and real microscopic image data. According to obtained evaluation results, a method combining the best performers in each step was presented. In the proposed method, Fast Radial Symmetry transform, edge-to-marker association algorithm and ellipse fitting are employed for seed point extraction, contour evidence extraction and contour estimation respectively. Using synthetic and real image data, the proposed method was evaluated and compared with two competing methods and the results showed a promising improvement over the competing methods, with high segmentation and size distribution estimation accuracy.