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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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False and Miss Detections in Temporal Segmentation of TV Sports News Videos – Causes and Remediest process in content-based video indexing. It may be achieved using different strategies such as player scenes analyses leading to the detection of playing fields, recognition of superimposed text like player or team names, identification of player faces, detection of lines typical for a given playi
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Human Behavior Recognition Using Negative Curvature Minima and Positive Curvature Maxima Pointsl, highlight extraction, video summarization and video surveillance. In this chapter a novel description of human pose - a combination of negative curvature minima (NCM) and positive curvature maxima (PCM) points are proposed. Experimental results are provided in the chapter in order to demonstrate
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An Attempt to Use Self-Adapting Genetic Algorithms to Optimize Fuzzy Systems for Predicting from a Dgression models. The method consists in building models over the chunks of a data stream determined by a sliding time window and incrementally expanding an ensemble by systematically generated models in the course of time. The aged models are utilized to compose ensembles and their output is updated
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Reduction of Concepts from Generalized One-Sided Concept Lattice Based on Subsets Quality Measureis (FCA). It provides an analysis of objects clusters according to the set of fuzzy attributes. The specific problem of such approaches is sometimes large number of concepts created by the method, which can be crucial for the interpretation of the results and their usage in practice. In this chapter
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Does Topic Modelling Reflect Semantic Prototypes?istinguish semantic prototypes that are specific for a given event from generic elements that might provide cause and result information. Moreover, this chapter discusses the results of experiments of unsupervised topic extraction performed on documents from a large-scale corpus with an additional t
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