DocumentCode
568315
Title
A highly efficient mode decision algorithm and architecture for AVS HD Video Encoder
Author
Li, Shuai ; Zhu, Chuang ; Wang, Fei ; Jia, Hui-zhu ; Xie, Xiao-dong ; Gao, Wen
Author_Institution
Nat. Eng. Lab. for Video Technol., Peking Univ., Beijing, China
fYear
2012
fDate
16-17 July 2012
Firstpage
371
Lastpage
376
Abstract
In Advanced Audio Video coding Standard (AVS), the utilization of variable block size ranging from 16×16 to 8×8 in inter frame encoding improves the coding efficiency significantly compared with a fixed MB partition. Rate distortion optimization (RDO) is the best known mode decision method, but the corresponding extremely high computational complexity limits its application. This paper proposes an algorithm based on the visual perception model and Sobel operator edge detection model to quickly select the best inter mode from 16×16, 16×8, 8×16 and 8×8 just by using the original pixels. We further analyze and redesign the MB level pipeline structure, and give the optimized hardware structure of the encoder. We tested different sequences including cif, 720p and 1080p, and the experimental results show that the coding efficiency is comparable with the traditional RDO method. The proposed hardware structure saves fractional motion estimation (FME) by 60% in areas and reduces the processing time by 200 cycles. Our proposed mode decision architecture can support the real time processing of 1080P@30fps.
Keywords
audio coding; computational complexity; edge detection; optimisation; video coding; AVS HD video encoder; MB level pipeline structure; Sobel operator edge detection; advanced audio video coding standard; computational complexity; fixed MB partition; fractional motion estimation; inter frame encoding; mode decision algorithm; optimized hardware structure; rate distortion optimization; visual perception; Brightness; Computational modeling; Encoding; Hardware; Image edge detection; Pipeline processing; Visual perception; AVS; Sobel operator; hardware structure; inter mode decision; visual perception determining model;
fLanguage
English
Publisher
ieee
Conference_Titel
Imaging Systems and Techniques (IST), 2012 IEEE International Conference on
Conference_Location
Manchester
Print_ISBN
978-1-4577-1776-5
Type
conf
DOI
10.1109/IST.2012.6295561
Filename
6295561
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