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
高效视频编码(high efficiency video coding,HEVC)相较于上一代编码标准H.264降低了约50%的比特率,但为了提高帧内预测的准确性,HEVC提出的35种预测模式导致计算量大幅增加,对软件和硬件实现均构成了挑战.针对该问题,在HEVC的基础上提...高效视频编码(high efficiency video coding,HEVC)相较于上一代编码标准H.264降低了约50%的比特率,但为了提高帧内预测的准确性,HEVC提出的35种预测模式导致计算量大幅增加,对软件和硬件实现均构成了挑战.针对该问题,在HEVC的基础上提出了一种依据图片纹理方向,结合预测模式之间的关联性来确定帧内预测模式的快速算法.实验结果表明,本算法与HEVC参考软件HM16.20相比,在BD-Rate损失仅为5.79%的情况下,节省46%以上的编码时间,显著降低了帧内预测模式决策的复杂度,便于在嵌入式系统等硬件资源有限的端侧实现算法落地.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
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
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
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
高效视频编码(High Efficiency Video Coding,HEVC)作为下一代新的视频编码标准,旨在有限网络带宽下传输高质量的网络视频。与现有的视频编码标准相比,高效视频编码具有更高的灵活性和压缩率。编码单元(Coding Unit,CU)是视频编码处理...高效视频编码(High Efficiency Video Coding,HEVC)作为下一代新的视频编码标准,旨在有限网络带宽下传输高质量的网络视频。与现有的视频编码标准相比,高效视频编码具有更高的灵活性和压缩率。编码单元(Coding Unit,CU)是视频编码处理的基本单元,原有的算法通过四叉树递归获取最佳CU深度,在提高视频压缩性能的同时引入了较高的计算复杂度。针对该问题,提出了一种快速编码深度选择算法,该算法利用相邻CU的深度信息计算一个深度预测特征值,通过该特征值进行深度选择,以避免不必要的计算,降低计算复杂度。实验结果表明,该算法在保证视频压缩效果的同时有效降低了计算复杂度。展开更多
针对高效视频编码(HEVC)帧内预测过程中的高计算复杂度问题,提出一种基于纹理特征的预测模式选择和编码单元划分的快速帧内预测算法。利用每一深度层纹理方向强度判断编码单元是否需要进行分割,并且减少候选模式数量。首先,在每一深度...针对高效视频编码(HEVC)帧内预测过程中的高计算复杂度问题,提出一种基于纹理特征的预测模式选择和编码单元划分的快速帧内预测算法。利用每一深度层纹理方向强度判断编码单元是否需要进行分割,并且减少候选模式数量。首先,在每一深度层编码单元上结合像素方差,以像素点为单位计算相应的纹理方向强度,确定其纹理复杂度并结合阈值策略预测最终划分深度;其次,比较垂直和水平方向强度关系及统计预测候选模式概率分布,以减少预测模式数量,确定最优候选模式子集,进一步降低编码复杂度。所提算法与平台HM15.0相比,编码时间平均节省51.997%,BDPSNR(Bjontegaard Delta Peak Signal-to-Noise Rate)仅降低0.059 d B,BDBR(Bjontegaard Delta Bit Rate)仅上升了1.018%。实验数据表明,在保证信噪比和比特率基本不变的同时,所提算法能有效降低编码复杂度,利于HEVC的实时视频应用。展开更多
高效视频编码(high efficiency video coding,HEVC)帧间预测方法相比于其他视频编码标准具有更高的编码效率,但同时也带来了更高的编码复杂度.为了加速HEVC帧间预测过程,提出了一种快速帧间预测算法.该算法首先判断当前编码单元(coding ...高效视频编码(high efficiency video coding,HEVC)帧间预测方法相比于其他视频编码标准具有更高的编码效率,但同时也带来了更高的编码复杂度.为了加速HEVC帧间预测过程,提出了一种快速帧间预测算法.该算法首先判断当前编码单元(coding unit,CU)的运动特征,然后根据不同的运动特征采取不同的优化措施以减少帧间预测时间.基于HEVC校验模型(HM6.0)的实验结果表明,该算法在基本保持传统算法性能的基础上,编码时间平均可减少53.33%.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.
文摘高效视频编码(high efficiency video coding,HEVC)相较于上一代编码标准H.264降低了约50%的比特率,但为了提高帧内预测的准确性,HEVC提出的35种预测模式导致计算量大幅增加,对软件和硬件实现均构成了挑战.针对该问题,在HEVC的基础上提出了一种依据图片纹理方向,结合预测模式之间的关联性来确定帧内预测模式的快速算法.实验结果表明,本算法与HEVC参考软件HM16.20相比,在BD-Rate损失仅为5.79%的情况下,节省46%以上的编码时间,显著降低了帧内预测模式决策的复杂度,便于在嵌入式系统等硬件资源有限的端侧实现算法落地.
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。
文摘高效视频编码(High Efficiency Video Coding,HEVC)作为下一代新的视频编码标准,旨在有限网络带宽下传输高质量的网络视频。与现有的视频编码标准相比,高效视频编码具有更高的灵活性和压缩率。编码单元(Coding Unit,CU)是视频编码处理的基本单元,原有的算法通过四叉树递归获取最佳CU深度,在提高视频压缩性能的同时引入了较高的计算复杂度。针对该问题,提出了一种快速编码深度选择算法,该算法利用相邻CU的深度信息计算一个深度预测特征值,通过该特征值进行深度选择,以避免不必要的计算,降低计算复杂度。实验结果表明,该算法在保证视频压缩效果的同时有效降低了计算复杂度。
文摘针对高效视频编码(HEVC)帧内预测过程中的高计算复杂度问题,提出一种基于纹理特征的预测模式选择和编码单元划分的快速帧内预测算法。利用每一深度层纹理方向强度判断编码单元是否需要进行分割,并且减少候选模式数量。首先,在每一深度层编码单元上结合像素方差,以像素点为单位计算相应的纹理方向强度,确定其纹理复杂度并结合阈值策略预测最终划分深度;其次,比较垂直和水平方向强度关系及统计预测候选模式概率分布,以减少预测模式数量,确定最优候选模式子集,进一步降低编码复杂度。所提算法与平台HM15.0相比,编码时间平均节省51.997%,BDPSNR(Bjontegaard Delta Peak Signal-to-Noise Rate)仅降低0.059 d B,BDBR(Bjontegaard Delta Bit Rate)仅上升了1.018%。实验数据表明,在保证信噪比和比特率基本不变的同时,所提算法能有效降低编码复杂度,利于HEVC的实时视频应用。
文摘高效视频编码(high efficiency video coding,HEVC)帧间预测方法相比于其他视频编码标准具有更高的编码效率,但同时也带来了更高的编码复杂度.为了加速HEVC帧间预测过程,提出了一种快速帧间预测算法.该算法首先判断当前编码单元(coding unit,CU)的运动特征,然后根据不同的运动特征采取不同的优化措施以减少帧间预测时间.基于HEVC校验模型(HM6.0)的实验结果表明,该算法在基本保持传统算法性能的基础上,编码时间平均可减少53.33%.
