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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算法的宏块来改进分布式视频编码侧信息

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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)的性能大大依赖于侧面信息的质量(SI)。本文通过智能地组合由两个SI生成算法产生的宏块(MB),即高阶分段时间轨迹插值(HOPTI)和自适应重叠的块运动补偿(AOBMC)来研究一种新颖的方式。这两个算法以不同的方式解决了问题。 Hoptti尝试使用高阶轨迹插值来改善运动估计,而Aombc地解决了由不准确的块匹配引起的阻塞和重叠问题。通过明智地选择何时将AOBMC与HOPTTI合并,它将提供SI质量的峰值信噪比(PSNR)改善。已经研究了两种开关机制,它已经研究了宏块级别的空间时间相关性,并发现了基于RST的智能模式切换(IMS)算法来产生增强的SI质量。实验结果表明,与仅使用Hoptti相比,基本模式切换算法在SI质量上提供了高达1.8dB的PSNR改进。对于某些测试序列,基于智能的基于RST的切换提供了高达1.1dB的PSNR增强。

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