METHOD AND APPARATUS FOR PROCESSING VIDEO SEQUENCES
    11.
    发明申请
    METHOD AND APPARATUS FOR PROCESSING VIDEO SEQUENCES 有权
    用于处理视频序列的方法和装置

    公开(公告)号:US20100128789A1

    公开(公告)日:2010-05-27

    申请号:US12451264

    申请日:2008-04-25

    Abstract: A method for processing a video sequence having a plurality of frames includes the steps of: extracting features from each of the frames, determining correspondences between the extracted features from two of the frames, estimating motion in the video sequence based on the determined correspondences, generating a background mosaic for the video sequence based on the estimated motion, and performing foreground-background segmentation on each of the frames based on the background mosaic.

    Abstract translation: 一种用于处理具有多个帧的视频序列的方法包括以下步骤:从每个帧中提取特征,确定来自两帧中提取的特征之间的对应关系,基于所确定的对应度估计视频序列中的运动,产生 基于估计运动的视频序列的背景马赛克,以及基于背景马赛克对每个帧执行前景背景分割。

    ESTIMATING A LOCATION OF AN OBJECT IN AN IMAGE
    12.
    发明申请
    ESTIMATING A LOCATION OF AN OBJECT IN AN IMAGE 审中-公开
    估计图像中的对象的位置

    公开(公告)号:US20100054536A1

    公开(公告)日:2010-03-04

    申请号:US12312737

    申请日:2007-11-30

    Inventor: Yu Huang Joan Llach

    Abstract: An implementation provides a method including forming a metric surface in a particle-based framework for tracking an object, the metric surface relating to a particular image in a sequence of digital images. Multiple hypotheses are formed of a location of the object in the particular image, based on the metric surface. The location of the object is estimated based on probabilities of the multiple hypotheses.

    Abstract translation: 实现提供了一种方法,包括在用于跟踪对象的基于粒子的框架中形成度量表面,该度量表面与数字图像序列中的特定图像相关。 基于公制表面,由特定图像中对象的位置形成多个假设。 基于多个假设的概率来估计对象的位置。

    Method and system for providing a highly-personalized recommendation engine

    公开(公告)号:US10956523B2

    公开(公告)日:2021-03-23

    申请号:US16129453

    申请日:2018-09-12

    Applicant: Yu Huang Fang Chen

    Inventor: Yu Huang Fang Chen

    Abstract: Various embodiments of a deep learning (DL)-based face perception engine for constructing, providing, and applying a highly-personalized face perception model for an individual through a deep learning process are disclosed. In some embodiments, a disclosed face perception engine includes a deep neural network configured for training a personalized face perception model for a unique individual based on a standard set of training images and a corresponding set of decisions on the set of training images provided by the unique individual. When sufficiently trained using the standard set of training images and the corresponding set of decisions, the personalized face perception model for the unique individual perceives a new face photo/image as if through the eyes of that unique individual. Hence, the trained face perception model can be used an “agent” or “representative” of the associated person in making very personal decisions, such as to decide if a given face photo/image includes a desirable face in the eyes of that person.

    Compactor independent direct diagnosis of test hardware
    17.
    发明授权
    Compactor independent direct diagnosis of test hardware 有权
    压缩机独立直接诊断测试硬件

    公开(公告)号:US08280688B2

    公开(公告)日:2012-10-02

    申请号:US12790049

    申请日:2010-05-28

    CPC classification number: G01R31/318547 G06F11/267 G06F11/27

    Abstract: Methods, apparatus, and systems for performing fault diagnosis are disclosed herein. In one exemplary embodiment, a failure log is received comprising entries indicative of compressed test responses to chain patterns and compressed test responses to scan patterns. A faulty scan chain in the circuit-under-test is identified based at least in part on one or more of the entries indicative of the compressed test responses to chain patterns. One or more faulty scan cell candidates in the faulty scan chain are identified based at least in part on one or more of the entries indicative of the compressed test responses to scan patterns. The one or more identified scan cell candidates can be reported. Computer-readable media comprising computer-executable instructions for causing a computer to perform any of the disclosed methods are also provided. Likewise, computer-readable media storing lists of fault candidates identified by any of the disclosed methods are also provided.

    Abstract translation: 本文公开了用于执行故障诊断的方法,装置和系统。 在一个示例性实施例中,接收到故障日志,其包括指示对链模式的压缩测试响应的条目和对扫描模式的压缩测试响应。 至少部分地基于指示压缩的测试对链模式的测试响应的一个或多个条目来识别被测电路中的有缺陷的扫描链。 至少部分地基于指示对扫描模式的压缩测试响应的一个或多个条目来识别故障扫描链中的一个或多个错误的扫描小区候选。 可以报​​告一个或多个识别的扫描单元候选。 还提供了包括用于使计算机执行任何所公开的方法的计算机可执行指令的计算机可读介质。 同样,还提供了存储通过任何所公开的方法识别的故障候选列表的计算机可读介质。

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