MPEG 4 is a basic tool for interactivity and manipulation of video sequences. Video object segmentation is a key issue in defining the content of any video sequence, which is often divided into two steps: initial obj...MPEG 4 is a basic tool for interactivity and manipulation of video sequences. Video object segmentation is a key issue in defining the content of any video sequence, which is often divided into two steps: initial object segmentation and object tracking. In this paper, an initial object segmentation method for video object plane(VOP) generation using color information is proposed. Based on 3 by 3 linear templates, a cellular neural network (CNN) is used to implemented object segmentation. The Experimental results are presented to verify the efficiency and robustness of this approach.展开更多
Segmentation of semantic Video Object Planes (VOP's) from video sequence is a key to the standard MPEG-4 with content-based video coding. In this paper, the approach of automatic Segmentation of VOP's Based on...Segmentation of semantic Video Object Planes (VOP's) from video sequence is a key to the standard MPEG-4 with content-based video coding. In this paper, the approach of automatic Segmentation of VOP's Based on Spatio-Temporal Information (SBSTI) is proposed.The proceeding results demonstrate the good performance of the algorithm.展开更多
传统检测房室平面位移的方法因测量信息不完整及房室平面特征点跟踪不准等缺点,造成房室平面位移(Atrioventricular Plane Displacement,AVPD)曲线失真。利用图像处理技术结合心血管核磁共振图像(Cardiovascular Magnetic Resonance,CMR...传统检测房室平面位移的方法因测量信息不完整及房室平面特征点跟踪不准等缺点,造成房室平面位移(Atrioventricular Plane Displacement,AVPD)曲线失真。利用图像处理技术结合心血管核磁共振图像(Cardiovascular Magnetic Resonance,CMR)可以更准确地检测室平面位移。首先,采用具有通道和空间可靠性的判别相关滤波器(Discriminative Correlation Filter with Channel and Spatial Reliability,CSR-DCF)增强对房室平面特征点的跟踪能力。其次,基于心脏核磁共振图像的空间信息构建三维的房室平面多面体,从整体上评估房室平面位移。最后,通过主成分分析法(Principal Component Analysis,PCA)重建房室平面的位移曲线。实验表明,本文方法重建后的房室平面位移保留了原始数据信息的96%以上并且房室平面位移曲线更加平滑的同时符合生理特性。展开更多
该文提出了一种对视频序列中的运动目标进行自动分割的算法。该算法分析图像在L U V空间中的局部变化,同时使用运动信息来把目标从背景中分离出来。首先根据图像的局部变化,使用基于图论的方法把图像分割成不同的区域。然后,通过度量合...该文提出了一种对视频序列中的运动目标进行自动分割的算法。该算法分析图像在L U V空间中的局部变化,同时使用运动信息来把目标从背景中分离出来。首先根据图像的局部变化,使用基于图论的方法把图像分割成不同的区域。然后,通过度量合成的全局运动与估计的局部运动之间的偏差来检测出运动的区域,运动的区域通过基于区域的仿射运动模型来跟踪到下一帧。为了提高提取的目标的时空连续性,使用Hausdorff跟踪器对目标的二值模型进行跟踪。对一些典型的MPEG-4测试序列所进行的评估显示了该算法的优良性能。展开更多
文摘MPEG 4 is a basic tool for interactivity and manipulation of video sequences. Video object segmentation is a key issue in defining the content of any video sequence, which is often divided into two steps: initial object segmentation and object tracking. In this paper, an initial object segmentation method for video object plane(VOP) generation using color information is proposed. Based on 3 by 3 linear templates, a cellular neural network (CNN) is used to implemented object segmentation. The Experimental results are presented to verify the efficiency and robustness of this approach.
文摘Segmentation of semantic Video Object Planes (VOP's) from video sequence is a key to the standard MPEG-4 with content-based video coding. In this paper, the approach of automatic Segmentation of VOP's Based on Spatio-Temporal Information (SBSTI) is proposed.The proceeding results demonstrate the good performance of the algorithm.
文摘传统检测房室平面位移的方法因测量信息不完整及房室平面特征点跟踪不准等缺点,造成房室平面位移(Atrioventricular Plane Displacement,AVPD)曲线失真。利用图像处理技术结合心血管核磁共振图像(Cardiovascular Magnetic Resonance,CMR)可以更准确地检测室平面位移。首先,采用具有通道和空间可靠性的判别相关滤波器(Discriminative Correlation Filter with Channel and Spatial Reliability,CSR-DCF)增强对房室平面特征点的跟踪能力。其次,基于心脏核磁共振图像的空间信息构建三维的房室平面多面体,从整体上评估房室平面位移。最后,通过主成分分析法(Principal Component Analysis,PCA)重建房室平面的位移曲线。实验表明,本文方法重建后的房室平面位移保留了原始数据信息的96%以上并且房室平面位移曲线更加平滑的同时符合生理特性。
文摘该文提出了一种对视频序列中的运动目标进行自动分割的算法。该算法分析图像在L U V空间中的局部变化,同时使用运动信息来把目标从背景中分离出来。首先根据图像的局部变化,使用基于图论的方法把图像分割成不同的区域。然后,通过度量合成的全局运动与估计的局部运动之间的偏差来检测出运动的区域,运动的区域通过基于区域的仿射运动模型来跟踪到下一帧。为了提高提取的目标的时空连续性,使用Hausdorff跟踪器对目标的二值模型进行跟踪。对一些典型的MPEG-4测试序列所进行的评估显示了该算法的优良性能。