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Improving distributed video coding side information by intelligently combining macro-blocks from multiple algorithms

机译:通过智能地组合来自多种算法的宏块来改善分布式视频编码侧信息

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摘要

The performance of distributed video coding (DVC) greatly relies on the quality of Side information (SI). This paper investigates a novel way of producing SI by intelligently combining macroblocks (MB) produced by two SI generation algorithms, namely higher-order piecewise temporal trajectory interpolation (HOPTTI) and adaptive overlapped block motion compensation (AOBMC). The two algorithms address the problem differently. HOPTTI attempts to improve the motion estimation using higher order trajectory interpolation while AOMBC addresses the blocking and overlapping problem caused by inaccurate block matching. By judiciously selecting when to incorporate AOBMC with HOPTTI, it would give a peak signal-to-noise ratio (PSNR) improvement in SI quality. Two switching mechanisms, which exploit the spatial-temporal correlation at the macro-block level, have been investigated and the RST-based intelligent mode switching (IMS) algorithm is found to produce enhanced SI quality. Experimental results show that the basic mode switching algorithm gives a PSNR improvement of up to 1.8dB in SI quality compared to using only HOPTTI. The more intelligent RST-based switching provides a further PSNR enhancement of up to 1.1dB for certain test sequences.
机译:分布式视频编码(DVC)的性能在很大程度上取决于辅助信息(SI)的质量。本文研究了一种通过智能组合两种SI生成算法生成的宏块(MB)来生成SI的新方法,这些算法是高阶分段时间轨迹插值(HOPTTI)和自适应重叠块运动补偿(AOBMC)。两种算法以不同的方式解决该问题。 HOPTTI尝试使用更高阶的轨迹插值来改善运动估计,而AOMBC解决了由于不正确的块匹配而引起的阻塞和重叠问题。通过明智地选择何时将AOBMC与HOPTTI结合使用,可以提高SI质量的峰值信噪比(PSNR)。已经研究了两种在宏块级别利用时空相关性的切换机制,并且发现基于RST的智能模式切换(IMS)算法可产生增强的SI质量。实验结果表明,与仅使用HOPTTI相比,基本模式切换算法可将SI质量的PSNR改善高达1.8dB。对于某些测试序列,基于RST的更智能的开关可进一步提高PSNR高达1.1dB。

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