Abstract
It is well known that the text that appears in a video scene or is graphically added to it is an important source of semantic information for indexing and retrieval, notably in the context of video databases. This paper proposes an improved algorithm for the automatic extraction of text in digital video; its major strengths are its robustness in terms of text skew and its improved performance in dealing with scene text. The system is based on a segmentation approach, using geometrical and spatial analyses for text detection. After, temporal redundancy is exploited to improve the detection performance by means of motion analysis. The output of the text detection step is then directly passed to a standard OCR software package in order to obtain the detected text as ASCII characters.
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Palma, D., Ascenso, J., Pereira, F. (2004). Automatic Text Extraction in Digital Video Based on Motion Analysis. In: Campilho, A., Kamel, M. (eds) Image Analysis and Recognition. ICIAR 2004. Lecture Notes in Computer Science, vol 3211. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30125-7_73
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DOI: https://doi.org/10.1007/978-3-540-30125-7_73
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-23223-0
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