Abstract
In this paper, we propose an algorithm that reduces unnecessary computations, while keeping the same prediction quality as that of the full search algorithm. In the proposed algorithm, we can reduce unnecessary computations efficiently by calculating initial matching error point from first 1/N partial errors. We can increase the probability that hits minimum error point as soon as possible. Our algorithm decreases the computational amount by about 20% of the conventional PDE algorithm without any degradation of prediction quality. Our algorithm would be useful in real-time video coding applications using MPEG-2/4 AVC standards.
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Kim, JN. (2010). A Fast PDE Algorithm Using Adaptive Scan and Search for Video Coding. In: Kim, Th., Kim, HK., Khan, M.K., Kiumi, A., Fang, Wc., Ślęzak, D. (eds) Advances in Software Engineering. ASEA 2010. Communications in Computer and Information Science, vol 117. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17578-7_24
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DOI: https://doi.org/10.1007/978-3-642-17578-7_24
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-17577-0
Online ISBN: 978-3-642-17578-7
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