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Fast CU Size Decision Algorithm Based on Minimum Mean Squared Error Estimators

Authors: Meihua Gu; Tingting Yang; Xinhui Liu;

Fast CU Size Decision Algorithm Based on Minimum Mean Squared Error Estimators

Abstract

A fast CU size decision algorithm is proposed for High Efficiency Video Coding (HEVC) intra prediction in this paper. Prediction unit (PU) is decided by analyzing the threshold of judgment, the complexity of the algorithm is increased if the threshold is too big, and the quality of the image is seriously damaged if the threshold is too small. The robustness of the algorithm would be destroyed if the threshold was not selected well. The robustness is enhanced by deciding the threshold with the statistic of rate-distortion costs and the Minimum Mean Squared Error Estimators (MMSE) simultaneously. Experimental results show that the encoding speed can be evidently improved, the encoding time is reduced by 103% on average, while the BD-Rate gain is only 4.6%, and the image quality is equally perceptual.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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