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Text in video, whether overlay or in-scene, contains a wealth of information vital to automated content analysis systems. However, low resolution of the imagery, coupled with richness of the background and compression artifacts limit the detection accuracy that can be achieved in practice using existing text detection algorithms. This paper presents a novel, non-causal temporal aggregation method...
Data from most industrial processes contain contributions at multiple scales in time and frequency. In contrast, most existing methods for fault detection are best for detecting events at only one scale. This paper provides experimental validation and insight into a new method of process fault detection based on the integration of multiscale signal representation and scale-specific clustering-based...
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