Scalable video fusion
Scalable video fusion
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DOI：
10.1109/icip.2013.6738263
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发表时间：
2013-12
期刊：
影响因子：
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通讯作者：
P. Hill;A. Achim;D. Bull
中科院分区：
文献类型：
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作者：
P. Hill;A. Achim;D. Bull
介绍了一种能够在变换域中融合两组或多组多模态视频的新系统。这是在没有漂移的情况下实现的，并产生提供细粒度可扩展性的嵌入式比特流。由于传统视频编码内的预测循环的复杂性，先前在变换域中融合的尝试对于视频压缩系统是不可能的。该压缩系统是基于一个优化的时空编解码器，使用3D离散双树小波变换（DDWT）连同位平面编码方法（SPIHT）和系数稀疏化过程（噪声整形）。总之，这些方法可以有效地编码视频序列，而不需要由于变换的方向（在空间和时间上）选择性而进行运动补偿。该系统提供了非常灵活的视频融合在动态带宽环境中，有可变的客户端接收能力。
A novel system is introduced that is able to fuse two or more sets of multimodal videos in the transform domain. This is achieved without drift and produces an embedded bitstream that offers fine grain scalability. Previous attempts to fuse in the transform domain have not been possible for video compression systems due to the complications of predictive loops within conventional video encoding. The compression system is based on an optimised spatiotemporal codec using the 3D Discrete Dual-tree Wavelet Transform (DDWT) together with a bit plane encoding method (SPIHT) and a coefficient sparsification process (noise shaping). Together, these methods can efficiently encode a video sequence without the need for motion compensation due to the directional (in space and time) selectivity of the transform. This system offers extremely flexible video fusion in dynamic bandwidth environments where there are variable client receiving capabilities.