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Titlebook: Image and Signal Processing; 8th International Co Alamin Mansouri,Abderrahim El Moataz,Driss Mammass Conference proceedings 2018 Springer N

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Automatic Anonymization of Printed-Text Document Imagesnymization or de-identification is a solution for hiding all sensible information contained in the documents. Although the problem has been mainly studied for plain printed-text documents, there are not works where the de-identification task also produces anonymized document images with the same tex
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An Adaptive Block-Based Histogram Packing for Improving the Compression Performance of JPEG-LS for Icks containing only a subset of the possible values from the nominal alphabet. The aim of this work is to improve the compression performance of JPEG-LS by introducing a preprocessing technique that leads to improvements. Results of its effectiveness are presented.
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Automatic Camera Selection in the Context of Basketball Gamethe right camera. We use an azimuth camera to detect the center of gravity of the players representing the action in the match. The effectiveness of our method has been tested by comparing the editing obtained with that carried out by a human operator.
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0302-9743 test developments in image and signal processing, video processing, computer vision, multimedia and computer graphics, and mathematical imaging and vision... .978-3-319-94210-0978-3-319-94211-7Series ISSN 0302-9743 Series E-ISSN 1611-3349
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An Image Processing Method Based on Features Selection for Crop Plants and Weeds Discrimination Usinations. On a training dataset, these 2 configurations are evaluated for the performance of classification in terms of true and false positive rates, according to ROC curves and area under curves. On a test dataset, these 2 configurations are exploited, giving both a relevant classification rate.
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Spatially Constrained Mixture Model with Feature Selection for Image and Video Segmentationge or frame, spatial information is incorporated as a prior information between neighboring pixels. Experimental results which are performed on a several real world images and videos demonstrate the effectiveness of the proposed framework with respect to other conventional Gaussian-based mixture models.
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