Title :
Improving H.264/AVC video coding with adaptive coefficient suppression
Author :
Luo, Zhengyi ; Song, Li ; Zheng, Shibao
Author_Institution :
Inst. of Image Commun. & Inf. Process., Shanghai Jiao Tong Univ., Shanghai, China
fDate :
May 30 2010-June 2 2010
Abstract :
Video coding has been widely adopted to achieve pleasant video quality at constrained bitrate. In this paper, adaptive frequency coefficient suppression directed by Human Visual System (HVS) is presented for H.264 video coding. Firstly, starting from Just Noticeable Distortion (JND) models for the classic DCT domain, we deduce a JND threshold for the H.264 transform domain with decent adaptation. Then the resultant threshold is used to adaptively suppress the transform coefficients of prediction residuals. It should be noted that our scheme is fully compatible with the H.264 standard. And experimental results show that compared to normal methods, significant bitrate reduction can be obtained by our scheme at similar subjective quality.
Keywords :
data compression; discrete cosine transforms; video coding; DCT domain; H.264 transform domain; H.264-AVC video coding; adaptive frequency coefficient suppression; bitrate reduction; human visual system; just noticeable distortion models; video quality; Automatic voltage control; Bit rate; Discrete cosine transforms; Frequency; Humans; Image coding; Spatial resolution; Video coding; Video compression; Visual system;
Conference_Titel :
Circuits and Systems (ISCAS), Proceedings of 2010 IEEE International Symposium on
Conference_Location :
Paris
Print_ISBN :
978-1-4244-5308-5
Electronic_ISBN :
978-1-4244-5309-2
DOI :
10.1109/ISCAS.2010.5537392
