High Efficiency Video Coding (HEVC) is the latest international video coding standard, which can provide the similar quality with about half bandwidth compared with its predecessor, H.264/MPEG?4 AVC. To meet the requi...High Efficiency Video Coding (HEVC) is the latest international video coding standard, which can provide the similar quality with about half bandwidth compared with its predecessor, H.264/MPEG?4 AVC. To meet the requirement of higher bit depth coding and more chroma sampling formats, range extensions of HEVC were developed. This paper introduces the coding tools in HEVC range extensions and provides experimental results to compare HEVC range extensions with previous video coding standards. Ex?perimental results show that HEVC range extensions improve coding efficiency much over H.264/MPEG?4 AVC High Predictive profile, especially for 4K sequences.展开更多
This paper explains intra prediction method for High Efficiency Video Coding(HEVC).Intra prediction removes correlation of adjacent samples in spatial domain.Intra predictor requires reference images which are stored ...This paper explains intra prediction method for High Efficiency Video Coding(HEVC).Intra prediction removes correlation of adjacent samples in spatial domain.Intra predictor requires reference images which are stored in external memory.Memory access is required frequently in process of intra prediction.The proposed architecture can reduce external memory access by optimized internal buffer.展开更多
In view of the fact that the current high efficiency video coding standard does not consider the characteristics of human vision, this paper proposes a perceptual video coding algorithm based on the just noticeable di...In view of the fact that the current high efficiency video coding standard does not consider the characteristics of human vision, this paper proposes a perceptual video coding algorithm based on the just noticeable distortion model (JND). The adjusted JND model is combined into the transformation quantization process in high efficiency video coding (HEVC) to remove more visual redundancy and maintain compatibility. First of all, we design the JND model based on pixel domain and transform domain respectively, and the pixel domain model can give the JND threshold more intuitively on the pixel. The transform domain model introduces the contrast sensitive function into the model, making the threshold estimation more precise. Secondly, the proposed JND model is embedded in the HEVC video coding framework. For the transformation skip mode (TSM) in HEVC, we adopt the existing pixel domain called nonlinear additively model (NAMM). For the non-transformation skip mode (non-TSM) in HEVC, we use transform domain JND model to further reduce visual redundancy. The simulation results show that in the case of the same visual subjective quality, the algorithm can save more bitrates.展开更多
探讨视频压缩编码技术在高分辨率视频传输中的应用,详细分析视频传输带宽的优化、高效视频编码(High Efficiency Video Coding,HEVC)和多功能视频编码(Versatile Video Coding,VVC)等编码标准的实现,以及低延迟实时传输的技术保障。利用...探讨视频压缩编码技术在高分辨率视频传输中的应用,详细分析视频传输带宽的优化、高效视频编码(High Efficiency Video Coding,HEVC)和多功能视频编码(Versatile Video Coding,VVC)等编码标准的实现,以及低延迟实时传输的技术保障。利用Netflix的4K流媒体传输案例展示视频压缩编码技术在不同网络环境下对比特率、视频质量和延迟优化的成效。展开更多
随着高清和超高清直播需求的增长,传统编码技术在压缩效率和传输质量方面逐渐显现出局限性。针对这一问题,提出基于高效视频编码(High Efficiency Video Coding,HEVC)技术的优化策略,以期改善直播电视信号的压缩效率、传输延迟及画质清...随着高清和超高清直播需求的增长,传统编码技术在压缩效率和传输质量方面逐渐显现出局限性。针对这一问题,提出基于高效视频编码(High Efficiency Video Coding,HEVC)技术的优化策略,以期改善直播电视信号的压缩效率、传输延迟及画质清晰度。实验结果表明,HEVC技术结合快速用户数据报协议互联网连接(Quick User Datagram Protocol Internet Connections,QUIC)协议和硬件加速技术,可显著提高高分辨率场景下的信号稳定性和实时性。展开更多
In-loop filtering significantly helps detect and remove blocking artifacts across block boundaries in low bitrate coded High Efficiency Video Coding(HEVC)frames and improves its subjective visual quality in multimedia...In-loop filtering significantly helps detect and remove blocking artifacts across block boundaries in low bitrate coded High Efficiency Video Coding(HEVC)frames and improves its subjective visual quality in multimedia services over communication networks.However,on faster processing of the complex videos at a low bitrate,some visible artifacts considerably degrade the picture quality.In this paper,we proposed a four-step fuzzy based adaptive deblocking filter selection technique.The proposed method removes the quantization noise,blocking artifacts and corner outliers efficiently for HEVC coded videos even at low bit-rate.We have considered Y(luma),U(chromablue),and V(chroma-red)components parallelly.Finally,we have developed a fuzzy system to detect blocking artifacts and use adaptive filters as per requirement in all four quadrants,namely up 45◦,down 45◦,up 135◦,and down 135◦across horizontal and vertical block boundaries.In this context,experimentation is done on a wide variety of videos.An objective and subjective analysis is carried out with MATLAB software and Human Visual System(HVS).The proposed method substantially outperforms existing postprocessing deblocking techniques in terms of YPSNR and BD_rate.In the proposed method,we achieved 0.32–0.97 dB values of YPSNR.Our method achieved a BD_rate of+1.69%for the luma component,−0.18%(U)and−1.99%(V)for chroma components,respectively,with respect to the stateof-the-art methods.The proposed method proves to have low computational complexity and has better parallel processing,hence suitable for a real-time system in the near future.展开更多
针对新一代高效视频编码标准(high efficient video coding,HEVC)逐一划分、逐层对预测模式进行RDO过程计算复杂度高的问题,提出基于结构张量和活动值的HEVC-SCC帧内快速算法。首先利用屏幕内容图像中均匀和小的全局运动区域常用大尺寸...针对新一代高效视频编码标准(high efficient video coding,HEVC)逐一划分、逐层对预测模式进行RDO过程计算复杂度高的问题,提出基于结构张量和活动值的HEVC-SCC帧内快速算法。首先利用屏幕内容图像中均匀和小的全局运动区域常用大尺寸单元CU编码,复杂或大的全局运动区域常用小尺寸CU编码的特点,通过提取能够表示CU均匀性的结构张量,研究结构张量与CTU深度划分的联系,在CTU进行遍历不同深度下的编码模式前先对当前深度CU计算结构张量值,通过结构张量值判断是否跳过当前深度下的遍历率失真优化(RDO)的过程。其次利用屏幕内容和自然内容图像纹理特性不同,屏幕内容常含有水平或垂直的边,提出了基于图像活动值的屏幕内容帧内编码模式决策。通过计算图像的编码单元(coding unit,CU)的水平活动值、垂直活动值,对CU进行判别以跳过遍历所有预测模式的过程。所提的算法经过实验测试,在全帧内(all intra)配置下,与SCM-8.8算法相比能减少26.65%的编码时间,而BDBR仅增加1.95%。展开更多
高效率视频编码(High Efficiency Video Coding,HEVC)作为新一代视频编码标准,在当前高清视频压缩传输领域具有广阔的应用前景。为保证视频编码效率,降低编码计算复杂度,文章提出一种基于四叉树结构的分块模式HEVC编码算法。该算法在保...高效率视频编码(High Efficiency Video Coding,HEVC)作为新一代视频编码标准,在当前高清视频压缩传输领域具有广阔的应用前景。为保证视频编码效率,降低编码计算复杂度,文章提出一种基于四叉树结构的分块模式HEVC编码算法。该算法在保证高质量编码性能的基础上,有效降低了编码算法的计算复杂度,提高了编码效率。展开更多
HEVC(High efficiency video coding)是新一代的视频编码标准,它仍然采用了与先前视频编码标准H.264/AVC一样的混合视频编码的基本框架,但在各个编码模块都进行了改进和革新。与H.264/AVC相比较,在相同视频质量和应用条件下HEVC的码率...HEVC(High efficiency video coding)是新一代的视频编码标准,它仍然采用了与先前视频编码标准H.264/AVC一样的混合视频编码的基本框架,但在各个编码模块都进行了改进和革新。与H.264/AVC相比较,在相同视频质量和应用条件下HEVC的码率降低将近一半。本文对HEVC的关键技术进行综述,着重研究探讨了帧内和帧间预测技术的原理和实现过程。展开更多
文摘High Efficiency Video Coding (HEVC) is the latest international video coding standard, which can provide the similar quality with about half bandwidth compared with its predecessor, H.264/MPEG?4 AVC. To meet the requirement of higher bit depth coding and more chroma sampling formats, range extensions of HEVC were developed. This paper introduces the coding tools in HEVC range extensions and provides experimental results to compare HEVC range extensions with previous video coding standards. Ex?perimental results show that HEVC range extensions improve coding efficiency much over H.264/MPEG?4 AVC High Predictive profile, especially for 4K sequences.
基金supported by the MKE(The Ministry of Knowledge Economy),Korea,under the ITRC(Infor mation Technology Research Center)support program supervised by the NIPA(National IT Industry Promotion Agency)(NIPA-2011-C1090-1021-0010)
文摘This paper explains intra prediction method for High Efficiency Video Coding(HEVC).Intra prediction removes correlation of adjacent samples in spatial domain.Intra predictor requires reference images which are stored in external memory.Memory access is required frequently in process of intra prediction.The proposed architecture can reduce external memory access by optimized internal buffer.
文摘In view of the fact that the current high efficiency video coding standard does not consider the characteristics of human vision, this paper proposes a perceptual video coding algorithm based on the just noticeable distortion model (JND). The adjusted JND model is combined into the transformation quantization process in high efficiency video coding (HEVC) to remove more visual redundancy and maintain compatibility. First of all, we design the JND model based on pixel domain and transform domain respectively, and the pixel domain model can give the JND threshold more intuitively on the pixel. The transform domain model introduces the contrast sensitive function into the model, making the threshold estimation more precise. Secondly, the proposed JND model is embedded in the HEVC video coding framework. For the transformation skip mode (TSM) in HEVC, we adopt the existing pixel domain called nonlinear additively model (NAMM). For the non-transformation skip mode (non-TSM) in HEVC, we use transform domain JND model to further reduce visual redundancy. The simulation results show that in the case of the same visual subjective quality, the algorithm can save more bitrates.
文摘探讨视频压缩编码技术在高分辨率视频传输中的应用,详细分析视频传输带宽的优化、高效视频编码(High Efficiency Video Coding,HEVC)和多功能视频编码(Versatile Video Coding,VVC)等编码标准的实现,以及低延迟实时传输的技术保障。利用Netflix的4K流媒体传输案例展示视频压缩编码技术在不同网络环境下对比特率、视频质量和延迟优化的成效。
文摘随着高清和超高清直播需求的增长,传统编码技术在压缩效率和传输质量方面逐渐显现出局限性。针对这一问题,提出基于高效视频编码(High Efficiency Video Coding,HEVC)技术的优化策略,以期改善直播电视信号的压缩效率、传输延迟及画质清晰度。实验结果表明,HEVC技术结合快速用户数据报协议互联网连接(Quick User Datagram Protocol Internet Connections,QUIC)协议和硬件加速技术,可显著提高高分辨率场景下的信号稳定性和实时性。
文摘In-loop filtering significantly helps detect and remove blocking artifacts across block boundaries in low bitrate coded High Efficiency Video Coding(HEVC)frames and improves its subjective visual quality in multimedia services over communication networks.However,on faster processing of the complex videos at a low bitrate,some visible artifacts considerably degrade the picture quality.In this paper,we proposed a four-step fuzzy based adaptive deblocking filter selection technique.The proposed method removes the quantization noise,blocking artifacts and corner outliers efficiently for HEVC coded videos even at low bit-rate.We have considered Y(luma),U(chromablue),and V(chroma-red)components parallelly.Finally,we have developed a fuzzy system to detect blocking artifacts and use adaptive filters as per requirement in all four quadrants,namely up 45◦,down 45◦,up 135◦,and down 135◦across horizontal and vertical block boundaries.In this context,experimentation is done on a wide variety of videos.An objective and subjective analysis is carried out with MATLAB software and Human Visual System(HVS).The proposed method substantially outperforms existing postprocessing deblocking techniques in terms of YPSNR and BD_rate.In the proposed method,we achieved 0.32–0.97 dB values of YPSNR.Our method achieved a BD_rate of+1.69%for the luma component,−0.18%(U)and−1.99%(V)for chroma components,respectively,with respect to the stateof-the-art methods.The proposed method proves to have low computational complexity and has better parallel processing,hence suitable for a real-time system in the near future.
文摘高效率视频编码(High Efficiency Video Coding,HEVC)作为新一代视频编码标准,在当前高清视频压缩传输领域具有广阔的应用前景。为保证视频编码效率,降低编码计算复杂度,文章提出一种基于四叉树结构的分块模式HEVC编码算法。该算法在保证高质量编码性能的基础上,有效降低了编码算法的计算复杂度,提高了编码效率。
文摘HEVC(High efficiency video coding)是新一代的视频编码标准,它仍然采用了与先前视频编码标准H.264/AVC一样的混合视频编码的基本框架,但在各个编码模块都进行了改进和革新。与H.264/AVC相比较,在相同视频质量和应用条件下HEVC的码率降低将近一半。本文对HEVC的关键技术进行综述,着重研究探讨了帧内和帧间预测技术的原理和实现过程。
