This paper proposes a drawing tool recognition method based on features calculated from the shape of stroke endings. The application for this method is to help art historians to identify the drawing tool used for a dr...
Motivated by claims to 'bridge the representational gap between image and model features' and by the growing importance of topological properties we discuss several extensions to dual graph pyramids: structura...
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Although scene classification has been studied for decades, indoor scene recognition remains challenging due to its large view point variance and massive irregular artefacts. In fact, most existing methods for outdoor...
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In this paper, we present a novel viewpoint of treating conks-based calibration as the algebraic and geometric constraints. From this viewpoint, we use four intersection points correspondence to conduct a unified alge...
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We propose a new method for human action recognition based on multiple features and a hybrid generative/discriminative model. Specifically, we propose a new action representation based on computing a rich set of descr...
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Visual attention has been widely used in image pre-processing, since it can rapidly detect the region of interest in the given scene. This paper presents a novel technique to track the moving object, which is based on...
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Visual attention has been widely used in image pre-processing, since it can rapidly detect the region of interest in the given scene. This paper presents a novel technique to track the moving object, which is based on the motion saliency model. The salient region is computed by the combination of multi-feature maps and motion saliency map, which vastly reduce the amount of information in further imageprocessing. Next, a single matching method, normalized color histogram, is used to measure the similarity for tracking processing. Experimental results, found in AVSS 07, are reported, which validate our model useful and effective.
In this paper we propose a method for segmenting characters in multispectral images of ancient documents. Due to the low quality of the document images the main idea of our study is to combine the multispectral behavi...
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In this paper, we take the advantages of color contrast and color distribution to get high quality saliency maps. The overall procedure flow of our unified framework contains superpixel pre-segmentation, color contras...
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Multi-atlas segmentation methods will benefit from atlases covering the complete spectrum of population patterns, while the difficulties in generating such large enough datasets and the computation burden required in ...
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Two medieval Slavonic manuscripts are recorded, investigated and analyzed by philologists in collaboration with computer scientists. The aim of the project is to develop algorithms that support the philologists by aut...
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