DocumentCode :
1727350
Title :
Method for fast bits estimation in rate distortion for intra coding units in HEVC
Author :
Johar, S. ; Alwani, M.
Author_Institution :
STMicroelectron. India Pvt. Ltd., Noida, India
fYear :
2013
Firstpage :
721
Lastpage :
724
Abstract :
Improved performance of Intra Prediction in HEVC in comparison to H.264/AVC is primarily due to two main feature enhancements, first is increase in the number of intra prediction directions and secondly due to the support for larger transform sizes. Using lagrangian based rate distortion measure to decide the appropriate prediction direction and Transform Unit size requires calculation of bits generated using complete cabac encoding for every candidate, which is computationally very exhaustive. In order to avoid complex cabac encoding is to use only distortion as a comparison measure, but it has a detrimental effect on coding efficiency. In this paper we present a method based on regression, to estimate the cabac bits for direction mode and for Transform Unit based on the magnitude of non-zero coefficients. This way we avoid calculating cabac encoding for bits calculation and the results show that our method gives 5.4% average BD-rate gain for Luma in comparison to using only distortion as a comparative measure.
Keywords :
image enhancement; regression analysis; video coding; BD-rate gain; CABAC bit estimation; H.264-AVC; HEVC; Lagrangian-based rate distortion; coding efficiency; complex CABAC encoding; direction mode; feature enhancement; intracoding unit; intraprediction performance improvement; nonzero coefficient magnitude; prediction direction; regression method; transform size; transform unit size; Bit rate; Entropy; PSNR; Transforms; Coding Unit; HEVC; Intra Prediction; Rate Distortion; Transform Unit;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Consumer Communications and Networking Conference (CCNC), 2013 IEEE
Conference_Location :
Las Vegas, NV
Print_ISBN :
978-1-4673-3131-9
Type :
conf
DOI :
10.1109/CCNC.2013.6488534
Filename :
6488534
Link To Document :
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