Automated video production system and method using expert video production rules for online publishing of lectures
    91.
    发明授权
    Automated video production system and method using expert video production rules for online publishing of lectures 失效
    自动视频制作系统和方法,使用专家视频制作规则进行在线发布演讲

    公开(公告)号:US07349005B2

    公开(公告)日:2008-03-25

    申请号:US09681835

    申请日:2001-06-14

    CPC classification number: H04N7/188 H04N7/181

    Abstract: An automated system and method for producing videos using expert video production rules. The automated video production system and method of the present invention is particularly well-suited for the online publishing of lectures. The system of the present invention includes a camera system for capturing the lecture, such as an audience-tracking camera and a non-intrusive lecturer-tracking camera. Moreover, each camera may be controlled by a cinematographer. Tracking of a subject is performed using a history-based, reduced-motion tracker that sets up a camera shot based on the subject's movement history and leaves the shot fixed until the camera is switched. The system also includes a virtual director module having a probabilistic finite state machine (FSM) module that uses probabilistic rules and the expert video production rules to determine a current camera view.

    Abstract translation: 一种使用专业视频制作规则制作视频的自动化系统和方法。 本发明的自动化视频制作系统和方法特别适用于在线出版讲座。 本发明的系统包括用于捕获演讲的相机系统,诸如观众跟踪相机和非侵入式讲师跟踪相机。 此外,每个摄像机可以由摄影机控制。 使用基于历史的减少运动的跟踪器来执行对象的跟踪,该跟踪器基于被摄体的移动历史设置拍摄的照相机,并将照片固定,直到相机切换为止。 该系统还包括具有概率有限状态机(FSM)模块的虚拟导向器模块,该模块使用概率规则和专家视频制作规则来确定当前的摄像机视图。

    Image segmentation using spatial-color gaussian mixture models
    94.
    发明申请
    Image segmentation using spatial-color gaussian mixture models 失效
    使用空间色高斯混合模型的图像分割

    公开(公告)号:US20070237393A1

    公开(公告)日:2007-10-11

    申请号:US11393576

    申请日:2006-03-30

    Abstract: A spatial-color Gaussian mixture model (SCGMM) image segmentation technique for segmenting images. The SCGMM image segmentation technique specifies foreground objects in the first frame of an image sequence, either manually or automatically. From the initial segmentation, the SCGMM segmentation system learns two spatial-color Gaussian mixture models (SCGMM) for the foreground and background objects. These models are built into a first-order Markov random field (MRF) energy function. The minimization of the energy function leads to a binary segmentation of the images in the image sequence, which can be solved efficiently using a conventional graph cut procedure

    Abstract translation: 用于分割图像的空间色彩高斯混合模型(SCGMM)图像分割技术。 SCGMM图像分割技术手动或自动地指定图像序列的第一帧中的前景对象。 从初始分割,SCGMM分割系统为前景和背景对象学习两个空间色高斯混合模型(SCGMM)。 这些模型内置于一阶马尔科夫随机场(MRF)能量函数中。 能量函数的最小化导致图像序列中的图像的二进制分割,这可以使用常规的图形切割程序有效地解决

    System and process for time delay estimation in the presence of correlated noise and reverberation
    96.
    发明授权
    System and process for time delay estimation in the presence of correlated noise and reverberation 有权
    在存在相关噪声和混响的情况下进行延时估计的系统和过程

    公开(公告)号:US07113605B2

    公开(公告)日:2006-09-26

    申请号:US11182633

    申请日:2005-07-14

    CPC classification number: H04R3/005 H04R2430/23

    Abstract: A system and process for estimating the time delay of arrival (TDOA) between a pair of audio sensors of a microphone array is presented. Generally, a generalized cross-correlation (GCC) technique is employed. However, this technique is improved to include provisions for both reducing the influence (including interference) from correlated ambient noise and reverberation noise in the sensor signals prior to computing the TDOA estimate. Two unique correlated ambient noise reduction procedures are also proposed. One involves the application of Wiener filtering, and the other a combination of Wiener filtering with a Gnn subtraction technique. In addition, two unique reverberation noise reduction procedures are proposed. Both involve applying a weighting factor to the signals prior to computing the TDOA which combines the effects of a traditional maximum likelihood (TML) weighting function and a phase transformation (PHAT) weighting function.

    Abstract translation: 提出了一种用于估计麦克风阵列的一对音频传感器之间的到达时间延迟(TDOA)的系统和过程。 通常,采用广义互相关(GCC)技术。 然而,该技术被改进为包括在计算TDOA估计之前减少传感器信号中相关环境噪声和混响噪声的影响(包括干扰)的规定。 还提出了两个独特的相关环境降噪程序。 一个涉及Wiener滤波的应用,另一个涉及Wiener滤波与G>减法技术的组合。 另外还提​​出了两个独特的混响降噪程序。 两者都涉及在计算结合了传统最大似然(TML)加权函数和相变(PHAT)加权函数的效果的TDOA之前对信号应用加权因子。

    Event-based system and process for recording and playback of collaborative electronic presentations

    公开(公告)号:US20060167662A1

    公开(公告)日:2006-07-27

    申请号:US11390895

    申请日:2006-03-27

    Applicant: Bin Yu Yong Rui

    Inventor: Bin Yu Yong Rui

    CPC classification number: G06Q10/10

    Abstract: An event-based system and process for recording and playback of collaborative electronic presentations is presented. The present system and process includes a technique for recording collaborative electronic presentations by capturing and storing the interactions between each participant and presentation data where each interaction event is timestamped and linked to a data file comprising the presentation data. The present system and process also includes a technique for playing back the recorded collaborative electronic presentation, which involves displaying the presentation data in an order it was originally presented and reproducing the recorded interactions between each participant and the displayed presentation data at the same point in the presentation that they were originally performed, based on the aforementioned timestamps.

    System and process for providing an interactive, computer network-based, virtual team worksite
    98.
    发明申请
    System and process for providing an interactive, computer network-based, virtual team worksite 审中-公开
    系统和流程,用于提供基于计算机网络的互动虚拟团队工作现场

    公开(公告)号:US20060101022A1

    公开(公告)日:2006-05-11

    申请号:US10973185

    申请日:2004-10-25

    Applicant: Bin Yu Yong Rui

    Inventor: Bin Yu Yong Rui

    CPC classification number: G06Q10/10

    Abstract: A system and process for providing an interactive computer network-based virtual team worksite that combines data storage, team members' presence information, interaction tools and a past history log into one virtual complex is presented. Generally, this is accomplished by integrating a shared data module, a unique presence module and various conferencing tools such as a collaborative presentation module and chat module into a single worksite assessable over a distributed computer network. Thus, everything a team would need related to a project is available in this integrated place. A team member who logs onto the worksite can input data and commands using the worksite window sectors to interface with other team members also logged on to the worksite and to interact with the displayed data in the collaborative presentation sector.

    Abstract translation: 提供了一种系统和过程,用于提供基于交互式计算机网络的虚拟团队工作现场,将数据存储,团队成员的存在信息,交互工具和过去历史记录结合到一个虚拟复合体中。 通常,这通过将共享数据模块,独特存在模块和诸如协作呈现模块和聊天模块的各种会议工具集成到通过分布式计算机网络可评估的单个工作现场来实现。 因此,一个团队需要与项目相关的一切都可以在这个集成的地方使用。 登录工地的团队成员可以使用工地窗口部门输入数据和命令,以便与登录到工作现场的其他团队成员进行交互,并与协作演示部门中显示的数据进行交互。

    System and process for time delay estimation in the presence of correlated noise and reverberation

    公开(公告)号:US07039200B2

    公开(公告)日:2006-05-02

    申请号:US10404219

    申请日:2003-03-31

    CPC classification number: H04R3/005 H04R2430/23

    Abstract: A system and process for estimating the time delay of arrival (TDOA) between a pair of audio sensors of a microphone array is presented. Generally, a generalized cross-correlation (GCC) technique is employed. However, this technique is improved to include provisions for both reducing the influence (including interference) from correlated ambient noise and reverberation noise in the sensor signals prior to computing the TDOA estimate. Two unique correlated ambient noise reduction procedures are also proposed. One involves the application of Wiener filtering, and the other a combination of Wiener filtering with a Gnn subtraction technique. In addition, two unique reverberation noise reduction procedures are proposed. Both involve applying a weighting factor to the signals prior to computing the TDOA which combines the effects of a traditional maximum likelihood (TML) weighting function and a phase transformation (PHAT) weighting function.

    Automated online broadcasting system and method using an omni-directional camera system for viewing meetings over a computer network

    公开(公告)号:US20050285933A1

    公开(公告)日:2005-12-29

    申请号:US11193702

    申请日:2005-07-29

    CPC classification number: H04N7/142 H04N7/147 H04N7/15

    Abstract: An automated system and method for broadcasting meetings over a computer network. The meeting is filmed using an omni-directional camera system and capable of being presented to a viewer both live and on-demand. The system of the present invention includes an automated camera management system for controlling the camera system and an analysis module determining the location of meeting participants in the meeting environments. The method of the present invention includes using the system of the present invention to broadcast an event to a viewer over a computer network. In particular, the method includes filming the event using an omni-directional camera system. Next, the method determines the location of each event participant in the event environment. Finally, a viewer is provided with a user interface for viewing the broadcast event. This user interface allows a viewer to choose which event participant that the viewer would like to view.

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