在现有的多视角分布式视频编码MDVC(Multi-view Distributed Video Coding)边信息SI(side information)生成方法中,时间与空间边信息的融合未能有效地选择和提取两种边信息的可靠部分。针对这个问题,提出一种基于置信度的时空边信息的...在现有的多视角分布式视频编码MDVC(Multi-view Distributed Video Coding)边信息SI(side information)生成方法中,时间与空间边信息的融合未能有效地选择和提取两种边信息的可靠部分。针对这个问题,提出一种基于置信度的时空边信息的融合方法。利用时间和空间边信息的可靠性模版以及时空置信度的模版,获得时空融合模版;然后,利用时空融合模版从时间边信息与空间边信息中选择出最优的像素组成最终的融合边信息。实验结果表明,在相同码率的条件下,获得的峰值信噪比PSNR(Peak Signal to Noise Ratio)相比于时间主导融合方法最高有0.79 d B的提升,相比于时空补偿融合模板最高有0.58 d B的提升。此外,获得的重构帧能有效地保留原始图像的细节部分。展开更多
系统地阐述了分布式视频编码(distributed video coding,DVC)技术框架的基本原理和近五年的发展历程;列举了国内外多个研究小组的基本思想研究现状;分析了分布式视频编码技术的发展趋势;揭示了技术的关键和研究热点;展望了该技术在信息...系统地阐述了分布式视频编码(distributed video coding,DVC)技术框架的基本原理和近五年的发展历程;列举了国内外多个研究小组的基本思想研究现状;分析了分布式视频编码技术的发展趋势;揭示了技术的关键和研究热点;展望了该技术在信息安全、可伸缩编码、多描述编码以及光场编码中的应用前景。展开更多
The variable block-size motion estimation(ME) and disparity estimation(DE) are adopted in multi-view video coding(MVC) to achieve high coding efficiency. However, much higher computational complexity is also introduce...The variable block-size motion estimation(ME) and disparity estimation(DE) are adopted in multi-view video coding(MVC) to achieve high coding efficiency. However, much higher computational complexity is also introduced in coding system, which hinders practical application of MVC. An efficient fast mode decision method using mode complexity is proposed to reduce the computational complexity. In the proposed method, mode complexity is firstly computed by using the spatial, temporal and inter-view correlation between the current macroblock(MB) and its neighboring MBs. Based on the observation that direct mode is highly possible to be the optimal mode, mode complexity is always checked in advance whether it is below a predefined threshold for providing an efficient early termination opportunity. If this early termination condition is not met, three mode types for the MBs are classified according to the value of mode complexity, i.e., simple mode, medium mode and complex mode, to speed up the encoding process by reducing the number of the variable block modes required to be checked. Furthermore, for simple and medium mode region, the rate distortion(RD) cost of mode 16×16 in the temporal prediction direction is compared with that of the disparity prediction direction, to determine in advance whether the optimal prediction direction is in the temporal prediction direction or not, for skipping unnecessary disparity estimation. Experimental results show that the proposed method is able to significantly reduce the computational load by 78.79% and the total bit rate by 0.07% on average, while only incurring a negligible loss of PSNR(about 0.04 d B on average), compared with the full mode decision(FMD) in the reference software of MVC.展开更多
文摘在现有的多视角分布式视频编码MDVC(Multi-view Distributed Video Coding)边信息SI(side information)生成方法中,时间与空间边信息的融合未能有效地选择和提取两种边信息的可靠部分。针对这个问题,提出一种基于置信度的时空边信息的融合方法。利用时间和空间边信息的可靠性模版以及时空置信度的模版,获得时空融合模版;然后,利用时空融合模版从时间边信息与空间边信息中选择出最优的像素组成最终的融合边信息。实验结果表明,在相同码率的条件下,获得的峰值信噪比PSNR(Peak Signal to Noise Ratio)相比于时间主导融合方法最高有0.79 d B的提升,相比于时空补偿融合模板最高有0.58 d B的提升。此外,获得的重构帧能有效地保留原始图像的细节部分。
文摘系统地阐述了分布式视频编码(distributed video coding,DVC)技术框架的基本原理和近五年的发展历程;列举了国内外多个研究小组的基本思想研究现状;分析了分布式视频编码技术的发展趋势;揭示了技术的关键和研究热点;展望了该技术在信息安全、可伸缩编码、多描述编码以及光场编码中的应用前景。
基金Project(08Y29-7)supported by the Transportation Science and Research Program of Jiangsu Province,ChinaProject(201103051)supported by the Major Infrastructure Program of the Health Monitoring System Hardware Platform Based on Sensor Network Node,China+1 种基金Project(61100111)supported by the National Natural Science Foundation of ChinaProject(BE2011169)supported by the Scientific and Technical Supporting Program of Jiangsu Province,China
文摘The variable block-size motion estimation(ME) and disparity estimation(DE) are adopted in multi-view video coding(MVC) to achieve high coding efficiency. However, much higher computational complexity is also introduced in coding system, which hinders practical application of MVC. An efficient fast mode decision method using mode complexity is proposed to reduce the computational complexity. In the proposed method, mode complexity is firstly computed by using the spatial, temporal and inter-view correlation between the current macroblock(MB) and its neighboring MBs. Based on the observation that direct mode is highly possible to be the optimal mode, mode complexity is always checked in advance whether it is below a predefined threshold for providing an efficient early termination opportunity. If this early termination condition is not met, three mode types for the MBs are classified according to the value of mode complexity, i.e., simple mode, medium mode and complex mode, to speed up the encoding process by reducing the number of the variable block modes required to be checked. Furthermore, for simple and medium mode region, the rate distortion(RD) cost of mode 16×16 in the temporal prediction direction is compared with that of the disparity prediction direction, to determine in advance whether the optimal prediction direction is in the temporal prediction direction or not, for skipping unnecessary disparity estimation. Experimental results show that the proposed method is able to significantly reduce the computational load by 78.79% and the total bit rate by 0.07% on average, while only incurring a negligible loss of PSNR(about 0.04 d B on average), compared with the full mode decision(FMD) in the reference software of MVC.
