28 resultados para Query
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Pós-graduação em Psicologia - FCLAS
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Pós-graduação em Ciência da Computação - IBILCE
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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A discussion, through a literature review, on the use of photographic documents and Documentary Analysis (DA) for the preservation, description and retrieval of images of pilgrimages in northeastern Brazil, which are archived at the Laboratory of Information Science and Memory (LACIM). The photograph acts as an expression of faith and devotion; it is a witnesses and documents, through images, the records of the day-to-day folk religion in its multiple meanings and situations, linked to the sacred. The DA —as a set of procedures performed after the reading of documents— facilitates the analysed collection location or query through the documentary language. This paper tries to show that the particular form of the information contained in a photographic archive echoes submerged memories of the pilgrims, authenticating a social fact in the country, capturing the sacredness from specific moments of celebration.
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Huge image collections are becoming available lately. In this scenario, the use of Content-Based Image Retrieval (CBIR) systems has emerged as a promising approach to support image searches. The objective of CBIR systems is to retrieve the most similar images in a collection, given a query image, by taking into account image visual properties such as texture, color, and shape. In these systems, the effectiveness of the retrieval process depends heavily on the accuracy of ranking approaches. Recently, re-ranking approaches have been proposed to improve the effectiveness of CBIR systems by taking into account the relationships among images. The re-ranking approaches consider the relationships among all images in a given dataset. These approaches typically demands a huge amount of computational power, which hampers its use in practical situations. On the other hand, these methods can be massively parallelized. In this paper, we propose to speedup the computation of the RL-Sim algorithm, a recently proposed image re-ranking approach, by using the computational power of Graphics Processing Units (GPU). GPUs are emerging as relatively inexpensive parallel processors that are becoming available on a wide range of computer systems. We address the image re-ranking performance challenges by proposing a parallel solution designed to fit the computational model of GPUs. We conducted an experimental evaluation considering different implementations and devices. Experimental results demonstrate that significant performance gains can be obtained. Our approach achieves speedups of 7x from serial implementation considering the overall algorithm and up to 36x on its core steps.
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This paper have to objective understand the dynamics of the insertion of a portion of the prudentinos young at work and the respective framing assigned to them by the Foundation of Presidente Prudente Mirim / SP. In the course of this research, we evaluate the issue, through a quantitative survey and qualitative survey of the entity as well as demographic information query the database of public agencies that, shielded by the literature of the subject of the work, explain some features of reality these young people, for example, the conditions they face in search of his achievement as a worker in the learning situation
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Pós-graduação em Ciência da Informação - FFC
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Pós-graduação em Psicologia do Desenvolvimento e Aprendizagem - FC
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Pós-graduação em Ciência da Computação - IBILCE
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Pós-graduação em Letras - FCLAS
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)