Titlebook: Networked Digital Technologies, Part I; Second International Filip Zavoral,Jakub Yaghob,Eyas El-Qawasmeh Conference proceedings 2010 Spring

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Compression of Layered Documentsrformance on these documents could be improved when we separate images from text and we apply different compression algorithms on these different types of data. In this paper we study layered image compression via a new software tool.

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Classifier Hypothesis Generation Using Visual Analysis Methodson of adequate training examples is essential for classification performance, but it may prove to be a challenging task in large document repositories. We propose a classifier hypothesis generation method relying on automated analysis and information visualisation. In our approach visualisations are

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Road Region Extraction Based on Motion Information and Seeded Region Growing for Foreground Detectioy learning on a training set of a scene over a period of time, we get the trajectory of moving object, then use SRG algorithm in which the trajectory is used as seed to extract road region. As a result, instead of detecting foreground objects in a conventional pixel by pixel manner, detection can be

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