中科微点-全球专利检索

  1. Login
  2. Sign Up

Search Results

51 records (took 0.021 seconds)

    GENERATION OF SIMULATED LONG EXPOSURE IMAGES IN RESPONSE TO MULTIPLE SHORT EXPOSURES
    3.
    发明申请
    GENERATION OF SIMULATED LONG EXPOSURE IMAGES IN RESPONSE TO MULTIPLE SHORT EXPOSURES 失效
    模拟长时间暴露影像的生成对多种短期暴露的反应

    公开(公告)号：US20100265357A1

    公开(公告)日：2010-10-21

    申请号：US12426101

    申请日：2009-04-17

    Applicant: Ming-Chang Liu ,  Mark Robertson

    Inventor： Ming-Chang Liu ,  Mark Robertson

    IPC: H04N9/73 ,  H04N5/235

    CPC classification number: G06T5/50 ,  G06T11/00 ,  G06T2207/10016 ,  G06T2207/20216 ,  H04N5/235 ,  H04N5/2355

    Abstract: Simulating a long exposure-time image from a sequence of short exposure-time images captured at slightly different times. The sequence of images is combined in a temporal integration process to create a long exposure image that simulates the output from a still camera, steadied by a tripod, whose light-sensitive material has been exposed to the same scene from the time of the beginning of the first input image of the sequence to the last image of the input sequence. The method overcomes limitations of hand-held video and image recording devices, allowing the user to easily create effects normally associated with high-end digital still cameras under expert control.

    Abstract translation: 从稍微不同时间拍摄的短曝光时间图像序列模拟长曝光时间图像。 图像序列在时间积分过程中组合以创建长时间曝光图像，该长曝光图像模拟来自静止照相机的输出，由三脚架稳定，三角架的感光材料已经从开始时开始暴露于同一场景 将序列的第一个输入图像输入到输入序列的最后一个图像。 该方法克服了手持视频和图像记录设备的局限性，允许用户在专家控制下轻松创建通常与高端数码相机相关的效果。

    Method and apparatus for improving depth of field (DOF) in microscopy
    5.
    发明授权
    Method and apparatus for improving depth of field (DOF) in microscopy 有权
    在显微镜下改善景深（DOF）的方法和装置

    公开(公告)号：US08988520B2

    公开(公告)日：2015-03-24

    申请号：US13553265

    申请日：2012-07-19

    Applicant: Ming-Chang Liu ,  Mark Robertson

    Inventor： Ming-Chang Liu ,  Mark Robertson

    IPC: H04N9/47 ,  G02B21/24 ,  G02B21/36 ,  H04N19/00

    CPC classification number: G02B21/244 ,  G02B21/367 ,  G06T9/00 ,  H04N19/00

    Abstract: A method for improving depth for field (DOF) in microscopic imaging, the method comprising combining a sequence of images captured from different focal distances to form an all-focus image, comprising computing a focus measure at every pixel, finding the largest peaks at each position in the focus measure as multiple candidate values and blending the multiple candidates values according to the focus measure to determine the all-focus image.

    Abstract translation: 一种用于在微观成像中改善场的深度（DOF）的方法，所述方法包括组合从不同焦距获取的图像序列以形成全焦点图像，包括计算每个像素处的聚焦度量，在每个像素处找到最大峰值 将焦点测量中的位置作为多个候选值，并根据聚焦度量混合多个候选值以确定全焦点图像。

    Method to increase the accuracy of phase correlation motion estimation in low-bit-precision circumstances
    6.
    发明授权
    Method to increase the accuracy of phase correlation motion estimation in low-bit-precision circumstances 有权
    在低位精度情况下提高相位运动估计精度的方法

    公开(公告)号：US08896759B2

    公开(公告)日：2014-11-25

    申请号：US12912536

    申请日：2010-10-26

    Applicant: Mark Robertson ,  Ming-Chang Liu ,  Yoshihiro Murakami ,  Toru Kurata ,  Yutaka Yoneda

    Inventor： Mark Robertson ,  Ming-Chang Liu ,  Yoshihiro Murakami ,  Toru Kurata ,  Yutaka Yoneda

    IPC: H04N5/14 ,  G06T7/20

    CPC classification number: H04N5/145 ,  G06T7/262 ,  G06T2207/20021 ,  G06T2207/20056

    Abstract: A method and system to improve the performance of phase correlation motion estimation for low-bit-precision implementation are described herein. Phase correlation uses the Fast Fourier Transform (FFT) with operations with infinite-precision constants. Since physical implementations use finite-precision arithmetic, there is some loss in precision relative to the ideal infinite-precision case. In low-complexity implementations, it is desirable to use as few bits as possible, and if the precision is too low, the performance of traditional phase correlation suffers. A pre-processing technique is applied to the data prior to taking the FFT, which minimizes the negative effects of finite precision in the FFT and allows high quality results from phase correlation. The pre-processing step is a content-dependent contrast adjustment that maps the range of the input images' pixel values to the range of input values for the FFT. There is no post-processing required after the FFT to compensate for the pre-processing step.

    Abstract translation: 本文描述了一种用于提高低位精度实现的相位运动估计性能的方法和系统。 相位相关使用具有无限精度常数的运算的快速傅里叶变换（FFT）。 由于物理实现使用有限精度算术，相对于理想的无限精度情况，精度有一定的损失。 在低复杂度实现中，期望尽可能少地使用位，如果精度太低，则传统相位相关的性能受损。 在采用FFT之前，将预处理技术应用于数据，这最小化了FFT中有限精度的负面影响，并允许相位相关的高质量结果。 预处理步骤是内容相关的对比度调整，其将输入图像的像素值的范围映射到用于FFT的输入值的范围。 在FFT之后不需要后处理来补偿预处理步骤。

    Using human intelligence tasks for precise image analysis
    7.
    发明授权
    Using human intelligence tasks for precise image analysis 有权
    使用人类智能任务进行精确的图像分析

    公开(公告)号：US08873842B2

    公开(公告)日：2014-10-28

    申请号：US13219500

    申请日：2011-08-26

    Applicant: M. Dirk Robinson ,  Mark Robertson ,  Hadar Isaac ,  Oliver Guinan ,  Thomas Joseph Melendez ,  Daniel Berkenstock ,  Julian Mann

    Inventor： M. Dirk Robinson ,  Mark Robertson ,  Hadar Isaac ,  Oliver Guinan ,  Thomas Joseph Melendez ,  Daniel Berkenstock ,  Julian Mann

    IPC: G06K9/00 ,  G06K9/62

    CPC classification number: G06K9/0063 ,  G06K9/6253

    Abstract: Described are systems, methods, computer programs, and user interfaces for image location, acquisition, analysis, and data correlation that uses human-in-the-loop processing, Human Intelligence Tasks (HIT), and/or or automated image processing. Results obtained using image analysis are correlated to non-spatial information useful for commerce and trade. For example, images of regions of interest of the earth are used to count items (e.g., cars in a store parking lot to predict store revenues), detect events (e.g., unloading of a container ship, or evaluating the completion of a construction project), or quantify items (e.g., the water level in a reservoir, the area of a farming plot).

    Abstract translation: 描述了使用人在环处理，人类智能任务（HIT）和/或自动图像处理的图像定位，获取，分析和数据相关的系统，方法，计算机程序和用户界面。 使用图像分析获得的结果与对商业和贸易有用的非空间信息相关。 例如，地球感兴趣区域的图像用于计数项目（例如，商店停车场中的汽车来预测商店收入），检测事件（例如，卸载集装箱船或评估建筑项目的完成情况 ）或量化项目（例如，水库的水位，农业地区的面积）。

    Method to improve detection of motion with phase correlation
    8.
    发明授权
    Method to improve detection of motion with phase correlation 有权
    改善相位相关运动检测的方法

    公开(公告)号：US08842735B2

    公开(公告)日：2014-09-23

    申请号：US12912561

    申请日：2010-10-26

    Applicant: Mark Robertson ,  Ming-Chang Liu ,  Yoshihiro Murakami ,  Toru Kurata ,  Yutaka Yoneda

    Inventor： Mark Robertson ,  Ming-Chang Liu ,  Yoshihiro Murakami ,  Toru Kurata ,  Yutaka Yoneda

    IPC: H04N11/02 ,  H04N19/523 ,  H04N19/615 ,  H04N19/51 ,  H04N19/547

    CPC classification number: H04N19/00636 ,  G06T7/262 ,  H04N19/523 ,  H04N19/547 ,  H04N19/63

    Abstract: Phase correlation is an established method for computing motion which relies on the ability to find peaks in a computed phase correlation surface. Two methods to improve the ability to detect peaks in the phase correlation surface are described herein. The first method applies a theoretically-derived and spatially-varying gain to the phase correlation surface. The gain compensates for peaks whose amplitudes have been decreased due to windowing effects; such effects are unavoidable in phase correlation. The second method uses concepts from matched filters to improve detection of peaks whose amplitudes are diminished due to a spreading of the peak energy into surrounding positions in the phase correlation surface. Peak detection filters allow such low-amplitude peaks to be properly detected. It is possible to use only the first method, or only the second method or both methods combined.

    Abstract translation: 相位相关是用于计算运动的已知方法，其依赖于在计算的相位相关表面中找到峰值的能力。 这里描述了提高检测相位相关表面中的峰值能力的两种方法。 第一种方法将理论上衍生的和空间变化的增益应用于相位相关表面。 增益补偿了振幅由于窗口效应而降低的峰值; 这种影响在相位相关中是不可避免的。 第二种方法使用来自匹配滤波器的概念来改善由于峰值能量扩散到相位相关表面中的周围位置而使幅度减小的峰值的检测。 峰值检测滤波器允许正确检测这样的低幅度峰值。 可以仅使用第一种方法，或仅使用第二种方法或两种方法组合。

    SMART STREAM DELIVERY SERVER, SYSTEM AND METHODS FOR ASSEMBLING A MIX OF SERVICES TO BE DELIVERED TO A SUBSCRIBER'S PREMISES
    9.
    发明申请
    SMART STREAM DELIVERY SERVER, SYSTEM AND METHODS FOR ASSEMBLING A MIX OF SERVICES TO BE DELIVERED TO A SUBSCRIBER'S PREMISES 审中-公开
    SMART STREAM交付服务器，系统和方法，用于组装提供给订阅者的服务的一系列服务

    公开(公告)号：US20130312046A1

    公开(公告)日：2013-11-21

    申请号：US13472051

    申请日：2012-05-15

    Applicant: Mark Robertson ,  Chris Phillips

    Inventor： Mark Robertson ,  Chris Phillips

    IPC: H04N21/266

    CPC classification number: H04N21/00 ,  H04N21/43615 ,  H04N21/472 ,  H04N21/47202 ,  H04N21/482

    Abstract: A smart stream delivery server, a system, and methods are described herein for assembling a mix of services (e.g., linear channels, video on demand, broadcast television, and recordings) which are to be delivered over one or more networks to a premises (e.g., home, business) of a subscriber. In one embodiment, the system includes a smart stream delivery server that assembles the mix of services which are to be delivered over the at least one network to the home of the subscriber based at least on a subscriber policy which is provided by the subscriber. The subscriber policy includes equipment priorities for a list of devices which consume the services, and service priorities for a plurality of services which are available for consumption by the devices.

    Abstract translation: 本文描述了智能流传送服务器，系统和方法，用于组合要通过一个或多个网络传送到场所的服务（例如，线性频道，视频点播，广播电视和录音）的组合（ 例如，家庭，商业）。 在一个实施例中，系统包括智能流传送服务器，该智能流传送服务器至少基于由用户提供的用户策略，将要通过至少一个网络传送的服务的混合组合到用户的家庭。 订户策略包括消费服务的设备列表的设备优先级，以及可由设备消费的多个服务的服务优先级。

    Using Human Intelligence Tasks for Precise Image Analysis
    10.
    发明申请
    Using Human Intelligence Tasks for Precise Image Analysis 有权
    使用人类智能任务进行精确图像分析

    公开(公告)号：US20130051661A1

    公开(公告)日：2013-02-28

    申请号：US13219500

    申请日：2011-08-26

    Applicant: M. Dirk Robinson ,  Mark Robertson ,  Hadar Isaac ,  Oliver Guinan ,  Thomas Joseph Melendez ,  Daniel Berkenstock ,  Julian Mann

    Inventor： M. Dirk Robinson ,  Mark Robertson ,  Hadar Isaac ,  Oliver Guinan ,  Thomas Joseph Melendez ,  Daniel Berkenstock ,  Julian Mann

    IPC: G06K9/62 ,  G06F3/00 ,  G06K9/48

    CPC classification number: G06K9/0063 ,  G06K9/6253

    Abstract: Described are systems, methods, computer programs, and user interfaces for image location, acquisition, analysis, and data correlation that uses human-in-the-loop processing, Human Intelligence Tasks (HIT), and/or or automated image processing. Results obtained using image analysis are correlated to non-spatial information useful for commerce and trade. For example, images of regions of interest of the earth are used to count items (e.g., cars in a store parking lot to predict store revenues), detect events (e.g., unloading of a container ship, or evaluating the completion of a construction project), or quantify items (e.g., the water level in a reservoir, the area of a farming plot).

    Abstract translation: 描述了使用人在环处理，人类智能任务（HIT）和/或自动图像处理的图像定位，获取，分析和数据相关的系统，方法，计算机程序和用户界面。 使用图像分析获得的结果与对商业和贸易有用的非空间信息相关。 例如，地球感兴趣区域的图像用于计数项目（例如，商店停车场中的汽车来预测商店收入），检测事件（例如，卸载集装箱船或评估建筑项目的完成情况 ）或量化项目（例如，水库的水位，农业地区的面积）。

Patent Agency Ranking