Abstract
The latest video compression standard H.264 supports many intra and inter prediction modes. The mode with the optimal rate-distortion performance is determined using the powerful Lagrangian minimization tool such as rate-distortion optimization, which achieves highest possible coding efficiency but results in much higher computational complexity. In this paper, a fast prediction mode decision algorithm for H.264 is proposed. It is based on hierarchical mode classification framework which assists fast mode decision by pre-selecting the class for macroblock using the extracted spatial and temporal features of macroblock. Since tests for many modes of non-selected classes will be skipped, much computation of rate-distortion optimization can be saved. Experimental results show that the proposed method can reduce the execution time of mode decision by 85% on the average without perceivable loss in coding rate and quality.
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References
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© 2006 Springer-Verlag Berlin Heidelberg
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Shen, Cd., Li, Sk. (2006). Fast Prediction Mode Decision Algorithm for H.264 Based on Hierarchical Mode Classification Framework. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2006. Lecture Notes in Computer Science, vol 4292. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11919629_88
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DOI: https://doi.org/10.1007/11919629_88
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-48626-8
Online ISBN: 978-3-540-48627-5
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