DocumentCode
2472011
Title
A fast intra prediction mode decision method based on high correlation of video sequences
Author
Park, Jihan ; Jeon, Yongwook ; Har, Dongsoo
Author_Institution
Dept. of Inf. & Commun., Gwangju Inst. of Sci. & Technol., Gwangju, South Korea
fYear
2010
fDate
14-17 March 2010
Firstpage
157
Lastpage
161
Abstract
H.264/AVC achieved better coding efficiency and visual quality than the previous video coding standards such as H.262, MPEG-1, MPEG-2, H.263 and MPEG-4 part2 at the same bit rate. To achieve the better coding efficiency, H.264/AVC uses the rate distortion optimization technique (RDO). The computational complexity is increased by using RDO calculation in all possible modes of intra prediction. To reduce this complexity, a number of fast algorithms for inter/intra-predications are proposed. One of approaches to reducing complexity is based on the minimization of the candidate modes by using preprocessing. In this paper, we propose a fast intra prediction mode decision method using high correlation in video sequences. The proposed method decides intra prediction mode using high correlation of the video sequence. The experimental results show that the encoding time saving can be achieved up to maximally 59% with negligible PSNR (Peak Signal-to-Noise Ratio) drop and a slight increment in bit rate compared to the results of the joint model (JM) reference software of H.264/AVC proceedings.
Keywords
computational complexity; decision theory; image sequences; prediction theory; rate distortion theory; video coding; H.264/AVC; candidate mode minimization; coding efficiency; computational complexity; fast intra prediction mode decision method; peak signal-to-noise ratio drop; rate distortion optimization technique; video coding standards; video sequences; visual quality; Automatic voltage control; Bit rate; Computational complexity; MPEG 4 Standard; Rate-distortion; Redundancy; Transform coding; Video coding; Video compression; Video sequences;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Technology (ICIT), 2010 IEEE International Conference on
Conference_Location
Vi a del Mar
Print_ISBN
978-1-4244-5695-6
Electronic_ISBN
978-1-4244-5696-3
Type
conf
DOI
10.1109/ICIT.2010.5472671
Filename
5472671
Link To Document