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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References
Lienharte, R., Effelsberg, W.: Automatic Text Segmentation and Text Recognition for Video Indexing. Multimedia Systems 8(1), 69–81 (2000)
Sato, T., Kanade, T., Hughes, E.K., Smithe, M.A., Satoh, S.: Video OCR: Indexing Digital News Libraries by Recognition of Superimposed Captions. Multimedia Systems 7(5), 385–395 (1999)
Li, H., Doermanne, D., Kia, O.: Automatic Text Detection and Tracking in Digital Video. IEEE Transactions on Image Processing 1(1), 147–156 (2000)
Lienharte, R., Wernicke, A.: Localizing and Segmenting Text in Images and Videos. IEEE Transactions on Circuits and Systems for Video Technology 12(4), 256–268 (2002)
Lindsaye, P.H., Norman, D.A.: Introduction into Psychology – Human Information Reception and Processing. Springer, Heidelberg (1991)
Palma, D.: Automatic Text Extraction in Digital Video Sequences Instituto Superior Técnico, Lisboa, Master Thesis (2004)
Canny, J.: A Computational Approach to Edge Detection. IEEE Transactions on Pattern Analysis and Machine Intelligence 8(6), 679–698 (1986)
Cortez, D., Nunes, P., Sequeira, M., Pereira, F.: Image Segmentation Towards New Image Representation Methods. Signal Processing: Image Communication 6(6), 485–498 (1995)
Jähne, B.: Digital Image Processing. In: Concepts, Algorithms, and Scientific Applications, Springer, Heidelberg (1997)
Paet, A.: Fast Algorithm for General Raster Rotation. Graphics Interface, 77–81 (1986)
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© 2004 Springer-Verlag Berlin Heidelberg
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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
Online ISBN: 978-3-540-30125-7
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