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Titlebook: New Research in Multimedia and Internet Systems; Aleksander Zgrzywa,Kazimierz Choroś,Andrzej Siemiń Conference proceedings 2015 Springer I

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Document Image Segmentation through Clustering and Connectivity Analysisresent the design of the algorithm as well as the test results on various document images. The experiments validate the efficacy and efficiency of the proposed approach when compared with other algorithms.
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Facial Emotion Recognition Based on Cascade of Neural Networksltilayered networks were tested. Experiments covered different resolutions of the images presenting faces as well as the images including regions of mouths and eyes. On the basis of the tests results a cascade of the neural networks was proposed. The cascade recognizes six basic emotions and neutral expression.
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Estimation of the Level of Disturbance in Time Series Using a Median Filter method of estimating the level of disturbance, based on median filtration and the assumption that the smoothing process applies to noise, exclusively. The knowledge of a noise reduction coefficient enables the determining of an estimated quantity.
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Human Behavior Recognition Using Negative Curvature Minima and Positive Curvature Maxima Pointsprecision of the human activity recognition versus size of the descriptor (a temporal interval durations between the nodes of the model). The experimental results are focused on recognition of call for help behavior. The results prove high score of recognition of the proposed method.
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Document Image Segmentation through Clustering and Connectivity Analysisf the tiles suspected to be part of an image and filtering them subsequently. In the end, the results are enhanced through a reconstruction stage. I present the design of the algorithm as well as the test results on various document images. The experiments validate the efficacy and efficiency of the
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