关键词: 可分级视频编码, 层间帧内预测, 维纳滤波器

Abstract:

In order to improve the performance of inter-layer intra prediction (ILIP) in scalable video coding, a Wiener filter based block level adaptive ILIP method is proposed. Firstly, the frame to be coded is divided into a number of blocks. Afterwards, the Wiener filter coefficients are obtained by a frame-by-frame training procedure, in which both of the enhancement layer (EL) signal and the corresponding up-sampled base layer (BL) signal are utilized. Finally, the achieved Wiener filter coefficients are applied to optimize the up-sampled BL signal, and a block level filter control is introduced to reduce prediction error energy. Experiments show that, compared with the traditional ILIP method, the proposed method can get more accurate prediction of the EL signal, resulting in up to 14.45% encoding bit rate reduction.

Key words: scalable video coding, inter-layer intra prediction, Wiener filter