Abstract
A high quality video acquisition algorithm is proposed in this work. We construct a flashing system to capture lit and unlit frames alternately. We develop a reliable motion estimation scheme, which matches correspondences between an unlit frame and a lit frame. Then, we construct a high quality frame, which combines natural scene mood in the unlit frame and textural details in the lit frame. Furthermore, we propose an object segmentation algorithm based on the observation that foreground objects are more sensitive to flash lights than backgrounds. Simulation results demonstrate that the proposed algorithm can acquire high quality video sequences and segment foreground objects from the sequences efficiently.
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© 2010 Springer-Verlag Berlin Heidelberg
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Lee, DY., Ahn, JK., Lee, C., Kim, CS. (2010). High Quality Video Acquisition and Segmentation Using Alternate Flashing System. 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_42
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DOI: https://doi.org/10.1007/978-3-642-15696-0_42
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-15695-3
Online ISBN: 978-3-642-15696-0
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