视频摘要能够充分表达视频信息.在MPEG-1/2中,关键帧可以反映镜头的内容.类似地,关键视频对象可以表示基于MPEG-4对象框架的视频内容.将关键视频对象选择模型(key video object selection model,简称KVOS)扩展为基于交互计算的交互式关...视频摘要能够充分表达视频信息.在MPEG-1/2中,关键帧可以反映镜头的内容.类似地,关键视频对象可以表示基于MPEG-4对象框架的视频内容.将关键视频对象选择模型(key video object selection model,简称KVOS)扩展为基于交互计算的交互式关键视频对象选择模型(interactive key video object selection model,简称IKVOS),并证明了关键视频对象选择模型满足归纳法准则,交互式关键视频对象选择模型满足余归纳法准则.同时用户可以根据偏好灵活选取关键视频对象.实验表明,根据紧凑和全面策略选择的关键视频对象,其失真率均低于相关方法.展开更多
受网络吞吐量及稳定性等因素影响,无线网络中的移动视频业务体验欠佳。为了提升移动视频用户体验质量(QoE,Quality of Experience),本文提出一种自由视频码率选择算法,不再对所有用户使用统一的低等级初始码率,而根据用户不同的网络状...受网络吞吐量及稳定性等因素影响,无线网络中的移动视频业务体验欠佳。为了提升移动视频用户体验质量(QoE,Quality of Experience),本文提出一种自由视频码率选择算法,不再对所有用户使用统一的低等级初始码率,而根据用户不同的网络状态来确定码率自适应传输的初始视频码率;同时,在视频播放过程中控制码率平稳变化。仿真实验利用Matlab软件,采用"停等"策略模拟LTE网络中的实时视频传输,以QoE评分为性能度量,验证本文方法的有效性。展开更多
To improve the coding performance of H.264/AVC, this paper proposes a rate control scheme composed of a novel flame complexity optimized selection and a quantization parameter （QP） value computation approach. First,...To improve the coding performance of H.264/AVC, this paper proposes a rate control scheme composed of a novel flame complexity optimized selection and a quantization parameter （QP） value computation approach. First, it extracts the frame coding complexity from two rate distortion models, and then introduces five statistic modes to estimate the frame coding complexity. An optimal mode is selected according to the coding efficiency. Finally the paper presents a novel QP calculation method for the H.264/AVC rate control. Experimental results show that the proposed algorithra outperforms the algorithm integrated in the 3M model in obtaining precise frame coding complexity, achieving robust buffer control and improving coding quality. And the improving visual quality is high up to 0.90dB for CIF sequences.展开更多
In order to reduce the computational complexity of the high efficiency video coding(HEVC) standard, a new algorithm for HEVC intra prediction, namely, fast prediction unit(PU) size selection method for HEVC based on s...In order to reduce the computational complexity of the high efficiency video coding(HEVC) standard, a new algorithm for HEVC intra prediction, namely, fast prediction unit(PU) size selection method for HEVC based on salient regions is proposed in this paper. We first build a saliency map for each largest coding unit(LCU) to reduce its texture complexity. Secondly, the optimal PU size is determined via a scheme that implements an information entropy comparison among sub-blocks of saliency maps. Finally, we apply the partitioning result of saliency map on the original LCUs, obtaining the optimal partitioning result. Our algorithm can determine the PU size in advance to the angular prediction in intra coding, reducing computational complexity of HEVC. The experimental results show that our algorithm achieves a 37.9% reduction in encoding time, while producing a negligible loss in Bjontegaard delta bit rate(BDBR) of 0.62%.展开更多
基金Supported by the National Natural Science Foundation of China under Grant No.60473002(国家自然科学基金)the Key Project of Beijing Natural Science Foundation of China under Grant No.4051004(北京市自然基金重点项目)the Scientific Research Fund of Hu’nan Provincial Education Department of China under Grant No.06B095 (湖南省教育厅科研项目)
文摘视频摘要能够充分表达视频信息.在MPEG-1/2中,关键帧可以反映镜头的内容.类似地,关键视频对象可以表示基于MPEG-4对象框架的视频内容.将关键视频对象选择模型(key video object selection model,简称KVOS)扩展为基于交互计算的交互式关键视频对象选择模型(interactive key video object selection model,简称IKVOS),并证明了关键视频对象选择模型满足归纳法准则,交互式关键视频对象选择模型满足余归纳法准则.同时用户可以根据偏好灵活选取关键视频对象.实验表明,根据紧凑和全面策略选择的关键视频对象,其失真率均低于相关方法.
文摘受网络吞吐量及稳定性等因素影响,无线网络中的移动视频业务体验欠佳。为了提升移动视频用户体验质量(QoE,Quality of Experience),本文提出一种自由视频码率选择算法,不再对所有用户使用统一的低等级初始码率,而根据用户不同的网络状态来确定码率自适应传输的初始视频码率;同时,在视频播放过程中控制码率平稳变化。仿真实验利用Matlab软件,采用"停等"策略模拟LTE网络中的实时视频传输,以QoE评分为性能度量,验证本文方法的有效性。
基金Supported by the Nat：onal Natural Science Foundation of China （No. 60873185） and the Foundation of Science ＆ Technology Department of Sichuan Province （No. 2011HH0037）.
文摘To improve the coding performance of H.264/AVC, this paper proposes a rate control scheme composed of a novel flame complexity optimized selection and a quantization parameter （QP） value computation approach. First, it extracts the frame coding complexity from two rate distortion models, and then introduces five statistic modes to estimate the frame coding complexity. An optimal mode is selected according to the coding efficiency. Finally the paper presents a novel QP calculation method for the H.264/AVC rate control. Experimental results show that the proposed algorithra outperforms the algorithm integrated in the 3M model in obtaining precise frame coding complexity, achieving robust buffer control and improving coding quality. And the improving visual quality is high up to 0.90dB for CIF sequences.
文摘In order to reduce the computational complexity of the high efficiency video coding(HEVC) standard, a new algorithm for HEVC intra prediction, namely, fast prediction unit(PU) size selection method for HEVC based on salient regions is proposed in this paper. We first build a saliency map for each largest coding unit(LCU) to reduce its texture complexity. Secondly, the optimal PU size is determined via a scheme that implements an information entropy comparison among sub-blocks of saliency maps. Finally, we apply the partitioning result of saliency map on the original LCUs, obtaining the optimal partitioning result. Our algorithm can determine the PU size in advance to the angular prediction in intra coding, reducing computational complexity of HEVC. The experimental results show that our algorithm achieves a 37.9% reduction in encoding time, while producing a negligible loss in Bjontegaard delta bit rate(BDBR) of 0.62%.
