在可分级视频编码(SVC,scalable video coding)的框架下,利用分布式视频编码(DVC,distributed video coding)技术,设计了一种低编码复杂度的SVC方案。该系统具有空间可分级的特性,各分层中仅用到了传统的帧内编码技术和DVC技术,最大限...在可分级视频编码(SVC,scalable video coding)的框架下,利用分布式视频编码(DVC,distributed video coding)技术,设计了一种低编码复杂度的SVC方案。该系统具有空间可分级的特性,各分层中仅用到了传统的帧内编码技术和DVC技术,最大限度的减小了SVC系统的编码复杂度。在该系统中,充分利用分级系统的特点,在增强层(EL)的解码中提出了一种基于二次搜索和残差补偿(DSRCB)的边信息(SI)生成算法和一种基于时空域虚拟噪声模型的估计算法,并针对各分层图像的频域特性优化了量化模型。实验表明,与基于传统视频编码技术的SVC系统相比,该系统具有极低的复杂度,性能超过了非可分级的DVC系统,而且在较小的GOP(group of pictures)尺寸下获得了接近传统SVC系统的性能。展开更多
In the Wyner-Ziv(WZ) video coding paradigm, a virtual correlation channel is assumed between the quantized source and the side information(SI) at the decoder, and channel coding is applied to achieve compression. In t...In the Wyner-Ziv(WZ) video coding paradigm, a virtual correlation channel is assumed between the quantized source and the side information(SI) at the decoder, and channel coding is applied to achieve compression. In this paper, errors caused by the virtual correlation channel are addressed and an error concealment approach is proposed for pixel-based WZ video coding. In the approach, errors after decoding are classified into two types. Type 1 errors are caused by residual bit errors after channel decoding, while type 2 errors are due to low quality of SI in part of a frame which causes SI not lying within the quantization bin of a decoded quantized pixel value. Two separate strategies are respectively designed to detect and conceal the two types of errors. Simulations are carried out and results are presented to demonstrate the effectiveness of the proposed approach.展开更多
文摘在可分级视频编码(SVC,scalable video coding)的框架下,利用分布式视频编码(DVC,distributed video coding)技术,设计了一种低编码复杂度的SVC方案。该系统具有空间可分级的特性,各分层中仅用到了传统的帧内编码技术和DVC技术,最大限度的减小了SVC系统的编码复杂度。在该系统中,充分利用分级系统的特点,在增强层(EL)的解码中提出了一种基于二次搜索和残差补偿(DSRCB)的边信息(SI)生成算法和一种基于时空域虚拟噪声模型的估计算法,并针对各分层图像的频域特性优化了量化模型。实验表明,与基于传统视频编码技术的SVC系统相比,该系统具有极低的复杂度,性能超过了非可分级的DVC系统,而且在较小的GOP(group of pictures)尺寸下获得了接近传统SVC系统的性能。
基金Supported by the National Science and Technology Major Project of China(No.2018ZX10734401-004)
文摘In the Wyner-Ziv(WZ) video coding paradigm, a virtual correlation channel is assumed between the quantized source and the side information(SI) at the decoder, and channel coding is applied to achieve compression. In this paper, errors caused by the virtual correlation channel are addressed and an error concealment approach is proposed for pixel-based WZ video coding. In the approach, errors after decoding are classified into two types. Type 1 errors are caused by residual bit errors after channel decoding, while type 2 errors are due to low quality of SI in part of a frame which causes SI not lying within the quantization bin of a decoded quantized pixel value. Two separate strategies are respectively designed to detect and conceal the two types of errors. Simulations are carried out and results are presented to demonstrate the effectiveness of the proposed approach.
