Abstract
With the rapid growth of the number of TV channels, the internet and online information services, more and more information becomes available and accessible. The digitization enhances preservation of records and makes the access to documents easier. However, when the quantity of documents become important the digitalization is not enough to ensure an efficient access. Indeed, we need to extract semantic information to help users to find what we need quickly. The text included in video sequences is highly needed for indexing and searching system. However, this text is difficult to detect and recognize because of the variability of its size, low resolution characters and the complexity of the backgrounds. To resolve these shortcomings, we propose a two task system: As a first step, we extract the textual information from video sequences and second, we recognize this text. Our system is tested on a diverse database composed of several Arabic news broadcast. The obtained results are encouraging and prove the qualities of our approach.
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Halima, M.B., Karray, H., Alimi, A.M. (2010). A Comprehensive Method for Arabic Video Text Detection, Localization, Extraction and Recognition. In: Qiu, G., Lam, K.M., Kiya, H., Xue, XY., Kuo, CC.J., Lew, M.S. (eds) Advances in Multimedia Information Processing - PCM 2010. PCM 2010. Lecture Notes in Computer Science, vol 6298. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15696-0_60
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DOI: https://doi.org/10.1007/978-3-642-15696-0_60
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-15695-3
Online ISBN: 978-3-642-15696-0
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