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
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
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
针对高效视频编码(High Efficiency Video Coding,HEVC)在4K超高清电视信号压缩中的技术挑战,深入分析HEVC的适用性,提出基于编码树单元(Coding Tree Unit,CTU)优化、预测单元自适应划分以及变换单元动态选择的压缩效率提升策略。实际...针对高效视频编码(High Efficiency Video Coding,HEVC)在4K超高清电视信号压缩中的技术挑战,深入分析HEVC的适用性,提出基于编码树单元(Coding Tree Unit,CTU)优化、预测单元自适应划分以及变换单元动态选择的压缩效率提升策略。实际应用效果测试表明,与传统高级视频编码(Advanced Video Coding,AVC)(又称H.264)方法相比,所提策略在保持相同视觉质量的前提下,平均压缩比提高32.7%,平均比特率节省28.5%,为4K超高清电视信号的高效传输和存储提供了有力技术支持。展开更多
高效音视频编码技术具有降低码率和保持画质的优势,能满足数字电视传输中地面、有线、卫星及OTT(Over The Top)多场景下高清及超高清节目的高质量传输需求。围绕编码技术的流程与标准适配性分析在不同传输模式下的频谱利用率提升、频道...高效音视频编码技术具有降低码率和保持画质的优势,能满足数字电视传输中地面、有线、卫星及OTT(Over The Top)多场景下高清及超高清节目的高质量传输需求。围绕编码技术的流程与标准适配性分析在不同传输模式下的频谱利用率提升、频道承载能力优化及带宽成本降低的实现路径,进一步借助工程案例验证其在带宽节省和图像质量保障方面的应用效果,结果表明高效音视频编码技术能够提升数字电视传输的稳定性和频谱利用效率,满足超高清及多业务承载需求。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
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。
文摘针对高效视频编码(High Efficiency Video Coding,HEVC)在4K超高清电视信号压缩中的技术挑战,深入分析HEVC的适用性,提出基于编码树单元(Coding Tree Unit,CTU)优化、预测单元自适应划分以及变换单元动态选择的压缩效率提升策略。实际应用效果测试表明,与传统高级视频编码(Advanced Video Coding,AVC)(又称H.264)方法相比,所提策略在保持相同视觉质量的前提下,平均压缩比提高32.7%,平均比特率节省28.5%,为4K超高清电视信号的高效传输和存储提供了有力技术支持。
文摘高效音视频编码技术具有降低码率和保持画质的优势,能满足数字电视传输中地面、有线、卫星及OTT(Over The Top)多场景下高清及超高清节目的高质量传输需求。围绕编码技术的流程与标准适配性分析在不同传输模式下的频谱利用率提升、频道承载能力优化及带宽成本降低的实现路径,进一步借助工程案例验证其在带宽节省和图像质量保障方面的应用效果,结果表明高效音视频编码技术能够提升数字电视传输的稳定性和频谱利用效率,满足超高清及多业务承载需求。
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。
