Title :
Novel residual prediction scheme for hybrid video coding
Author :
Kim, Sung Dae ; Hwang, Sung Jo ; Sunwoo, Myung H.
Author_Institution :
A Sch. of Electr. & Comput. Eng., Ajou Univ., Suwon, South Korea
Abstract :
This paper proposes a novel residual prediction scheme. The object of the prediction in general video coding is only the original video data. In order to improve the coding efficiency, we extend the object of the prediction to the residual data. The proposed scheme performs the second prediction for the residual data of transform/quantization. The simulation results show that the proposed scheme can save up to 9% of bit-rate without peak signal to noise ratio degradation.
Keywords :
video coding; hybrid video coding; quantization residual data; residual prediction scheme; second order prediction; transform residual data; video coding expert group; Adaptive filters; Automatic voltage control; Communications technology; Degradation; Interpolation; Motion estimation; PSNR; Prediction methods; Quantization; Video coding; H.264/AVC; H.265; hybrid video coding; residual prediction; second order prediction;
Conference_Titel :
Image Processing (ICIP), 2009 16th IEEE International Conference on
Conference_Location :
Cairo
Print_ISBN :
978-1-4244-5653-6
Electronic_ISBN :
1522-4880
DOI :
10.1109/ICIP.2009.5413848