Abstract
The rise of electronic book services and the prevalence of mobile devices reveal the needs for mobile reading and the booming business opportunities in e-book developments. However, incompatible e-book readers, non-uniformed e-book formats, or even limited screen resolution causes the inconvenience of reading documents on handheld devices. Meanwhile, it is difficult to read physical magazines that do not have the corresponding digital copies. Therefore, we propose a system, Snap2Read, that can automatically segment the captured document images (i.e., from the physical magazines) in mobile phones into readable patches (e.g. text, title, image), and then scale them into suitable size so that users can easily browse the digitalized magazine pages via the mobile phone with simple clicks.
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© 2011 Springer-Verlag Berlin Heidelberg
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Hsu, YM., Lin, YL., Hsu, W.H., Wang, B. (2011). Snap2Read: Automatic Magazine Capturing and Analysis for Adaptive Mobile Reading. In: Lee, KT., Tsai, WH., Liao, HY.M., Chen, T., Hsieh, JW., Tseng, CC. (eds) Advances in Multimedia Modeling. MMM 2011. Lecture Notes in Computer Science, vol 6524. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17829-0_14
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DOI: https://doi.org/10.1007/978-3-642-17829-0_14
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-17828-3
Online ISBN: 978-3-642-17829-0
eBook Packages: Computer ScienceComputer Science (R0)