Automatic location of text in video frames
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Towards Automatic Video-based Whiteboard Reading
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Automatic text detection and removal in video sequences
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A wireless handheld multi-modal digital video library client system
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Hybrid approach to efficient text extraction in complex color images
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Multimodal Video Indexing: A Review of the State-of-the-art
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Video text recognition using sequential Monte Carlo and error voting methods
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Image Analysis for Efficient Categorization of Image-based Spam E-mail
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An embedded application for degraded text recognition
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Soccer video processing for the detection of advertisement billboards
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Accurate text localization in images based on SVM output scores
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Text detection in natural scene images with feature combination
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Multi-script and multi-oriented text localization from scene images
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Text extraction from videos using a hybrid approach
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Text that appears in a scene or is graphically added to video can provide an important supplemental source of index information as well as clues for decoding the video's structure and for classification. In this work, we present algorithms for detecting and tracking text in digital video. Our system implements a scale-space feature extractor that feeds an artificial neural processor to detect text blocks. Our text tracking scheme consists of two modules: a sum of squared difference (SSD) based module to find the initial position and a contour-based module to refine the position. Experiments conducted with a variety of video sources show that our scheme can detect and track text robustly