the paper is dedicated to theoretical research of spatial indexing methods in conformity to three dimensional scenes arising in CAD/CAM systems, robotics, virtual and augmented reality applications. Special attention ...
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Infographics, such as bar charts and line graphs, occur often in popular media and are a rich knowledge source that should be accessible to users. Unfortunately, information retrieval research has focused on the retri...
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ISBN:
(纸本)9781941643266
Infographics, such as bar charts and line graphs, occur often in popular media and are a rich knowledge source that should be accessible to users. Unfortunately, information retrieval research has focused on the retrieval of text documents and images, with almost no attention specifically directed toward the retrieval of information graphics. Our work is the first to directly tackle the retrieval of infographics and to design a system that takes into account their unique characteristics. Learning-to-rank algorithms are applied on a large set of features to develop several models for infographics retrieval. Evaluation of the models shows that features pertaining to the structure and the content of graphics should be taken into account when retrieving graphics and that doing so results in a model with better performance than a baseline model that relies on matching query words with words in the graphic.
the MIT Alewife project, launched in the spring of 1988, comprised a dynamic group of researchers who designed and implemented the Alewife multiprocessor [1]. One of the most important and unexpected outcomes of this ...
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Natural illumination from the sun and sky plays a significant role in the appearance of outdoor scenes. We propose the use of sophisticated outdoor illumination models, developed in the computergraphics community, fo...
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Structure-from-Motion (SfM) approaches, which are conventionally based on local interest point matches, tend to work well for richly textured indoor- and outdoor environments. However, in less textured scene areas the...
the last six years has seen Moore's Law continue to produce incredible gains in computational power. Indeed, the November, 2007 list of the top ten fastest supercomputers in the world contained no machines with ac...
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We present Hough Networks (HNs), a novel method that combines the idea of Hough Forests (HFs) [12] with Convolutional Neural Networks (CNNs) [18]. Similar to HFs we perform a simultaneous classification and regression...
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Multi-view video acquisition is widely used for reconstruction and free-viewpoint rendering of dynamic scenes by directly resampling from the captured images. this paper addresses the problem of optimally resampling a...
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To increase robustness of depth-map-based multi-view stereo approaches, we combine several techniques: Depth estimates are propagated in parallel in the local neighborhood to efficiently spread reliable depth informat...
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We present a novel method for dense variational scene flow estimation based a multi-scale Ternary Census Transform in combination with a patchwise Closest Points depth data term. On the one hand, the Ternary Census Tr...
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