A rate-distortion analysis on motion prediction efficiency and mode decision for scalable wavelet video coding
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- 作者：Chia-Yang Tsai ; Hsueh-Ming Hang
- 关键词：Interframe wavelet coding ; Scalable wavelet video ; Motion prediction efficiency ; Motion information gain ; Rate-distortion optimization ; Prediction mode decision ; Video coding bit allocation ; Video coding rate control
- 刊名：Journal of Visual Communication and Image Representation
- 出版年：2010
- 出版时间：November 2010
- 年：2010
- 卷：21
- 期：8
- 页码：917-929
- 全文大小：1276 K
文摘
A rate-distortion model for describing the motion prediction efficiency in interframe wavelet video coding is proposed in this paper. Different from the non-scalable video coding, the scalable wavelet video coding needs to operate under multiple bitrate conditions and it has an open-loop structure. The conventional Lagrangian multiplier, which is widely used to solve the rate-distortion optimization problems in video coding, does not fit well into the scalable wavelet structure. In order to find the rate-distortion trade-off due to different bits allocated to motion and textual information, we suggest a motion information gain (MIG) metric to measure the motion prediction efficiency. Based on this metric, a new cost function for mode decision is proposed. Compared with the conventional Lagrangian method, our experiments show that the proposed method is less extraction-bitrate dependent and generally improves both the PSNR performance and the visual quality for the scalability cases.