Adaptively weighted update steps in motion compensated lifting based scalable video compression
Adaptively weighted update steps in motion compensated lifting based scalable video compression
复制标题
基于运动补偿提升的可伸缩视频压缩中的自适应加权更新步骤
DOI：
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发表时间：
2003
期刊：
影响因子：
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通讯作者：
D. Taubman
中科院分区：
文献类型：
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作者：
N. Mehrseresht;D. Taubman
运动补偿时域小波分解是一种用于完全可伸缩视频压缩方案的使用框架。在本文中，我们提出了一种新的方法来减少鬼影文物在低通时间子带，我们自适应加权的更新步骤，根据能量在高通时间子带在相应的位置。实验结果表明，该算法能够有效地去除低通时间帧中的重影。重要的是，在全帧速率下，所提出的算法具有与原始运动补偿时间分解相似的性能，在运动模型明显失效的情况下具有上级性能。虽然完全跳过更新步骤实现了类似的目标，我们表明，所提出的方法自适应加权的更新步骤具有更好的性能，特别是在存在加性噪声。由于压缩比特流是可缩放的，解码器通常不具有与编码器用于确定更新步骤的权重的信息完全相同的信息。然而，所提出的方法表现出良好的鲁棒性的量化误差。
Motion-compensated temporal wavelet decomposition is a use-framework for fully scalable video compression schemes. In paper we propose a new approach to reduce the ghosting artifacts in low-pass temporal subbands; we adaptively weight the update steps according to the energy in the high-pass temporal sub-bands at the corresponding location. Experimental results show that the proposed algorithm can substantially remove ghosting from low-pass temporal frames. Importantly, at full frame-rate, the proposed algorithm has similar performance to the original motion-compensated temporal decomposition, with superior performance where the motion model fails significantly. While entirely skipping the update steps accomplishes a similar objective, we show that the proposed method for adaptively weighting the update steps has better performance, especially in the presence of additive noise. Since the compressed bit-stream is scalable, the decoder does not generally have exactly the same information which the encoder used to determine weights for the update steps. Nevertheless, the proposed method exhibits good robustness to quantization error.