Abstract
Block Motion Estimation is vital to the coding (compression) of natural video images, and it is one of the most important components of the standards of video compression technology. In order to reduce the high computational complexity of Motion Estimation, this paper proposed a context-adaptive parallelogram search pattern, and developed a fast motion-estimation algorithm based on the search pattern. Parallelogram search pattern contains five search models, and the search model may be chosen from a selection of five search models in the process of Motion Estimation. The experimental results show that the proposed algorithm can provide a remarkable computational complexity reduction in Motion Estimation(ME), while it maintains high compression efficiency.
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© 2004 Springer-Verlag Berlin Heidelberg
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Tian, C., Shen, C., Li, S. (2004). A Fast Motion Estimation Algorithm Based on Context-Adaptive Parallelogram Search Pattern. In: Roca, V., Rousseau, F. (eds) Interactive Multimedia and Next Generation Networks. MIPS 2004. Lecture Notes in Computer Science, vol 3311. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30493-7_16
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DOI: https://doi.org/10.1007/978-3-540-30493-7_16
Publisher Name: Springer, Berlin, Heidelberg
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