公开(公告)号：US08872850B2

公开(公告)日：2014-10-28

申请号：US13411651

申请日：2012-03-05

Applicant: Neel Suresh Joshi ,  Sisil Sanjeev Mehta ,  Michael F. Cohen ,  Steven M. Drucker ,  Hugues Hoppe ,  Matthieu Uyttendaele

Inventor： Neel Suresh Joshi ,  Sisil Sanjeev Mehta ,  Michael F. Cohen ,  Steven M. Drucker ,  Hugues Hoppe ,  Matthieu Uyttendaele

IPC: G09G5/377

CPC classification number: G11B27/031 ,  G06T11/60 ,  G06T13/80 ,  G06T15/503 ,  G11B27/34

Abstract: Various technologies described herein pertain to juxtaposing still and dynamic imagery to create a cliplet. A first subset of a spatiotemporal volume of pixels in an input video can be set as a static input segment, and the static input segment can be mapped to a background of the cliplet. Further, a second subset of the spatiotemporal volume of pixels in the input video can be set as a dynamic input segment based on a selection of a spatial region, a start time, and an end time within the input video. Moreover, the dynamic input segment can be refined spatially and/or temporally and mapped to an output segment of the cliplet within at least a portion of output frames of the cliplet based on a predefined temporal mapping function, and the output segment can be composited over the background for the output frames of the cliplet.

Abstract translation: 这里描述的各种技术与并置静态和动态图像以创建小屋。 可以将输入视频中的时空体积像素的第一子集设置为静态输入段，静态输入段可以映射到小区的背景。 此外，可以基于输入视频内的空间区域，开始时间和结束时间的选择，将输入视频中的时空体积像素的第二子集设置为动态输入片段。 此外，基于预定义的时间映射函数，动态输入段可以在空间上和/或时间上精细化并且被映射到小块的输出帧的至少一部分内的小区的输出段，并且输出段可以被合成 背景为小猫的输出框架。

公开(公告)号：US08428390B2

公开(公告)日：2013-04-23

申请号：US12815264

申请日：2010-06-14

Applicant: Yunpeng Li ,  Sing Bing Kang ,  Neel Suresh Joshi ,  Steven Maxwell Seitz

Inventor： Yunpeng Li ,  Sing Bing Kang ,  Neel Suresh Joshi ,  Steven Maxwell Seitz

IPC: G06K9/40 ,  G06K9/00 ,  G09G1/14 ,  G09G3/28 ,  G09G3/30 ,  G09G5/00 ,  H04N9/64 ,  H04N5/202 ,  H04N1/40 ,  G03F3/08

CPC classification number: H04N5/23238 ,  G06T5/003 ,  G06T2207/10016 ,  G06T2207/20201

Abstract: A “Blur Remover” provides various techniques for constructing deblurred images from a sequence of motion-blurred images such as a video sequence of a scene. Significantly, this deblurring is accomplished without requiring specialized side information or camera setups. In fact, the Blur Remover receives sequential images, such as a typical video stream captured using conventional digital video capture devices, and directly processes those images to generate or construct deblurred images for use in a variety of applications. No other input beyond the video stream is required for a variety of the embodiments enabled by the Blur Remover. More specifically, the Blur Remover uses joint global motion estimation and multi-frame deblurring with optional automatic video “duty cycle” estimation to construct deblurred images from video sequences for use in a variety of applications. Further, the automatically estimated video duty cycle is also separately usable in a variety of applications.

Abstract translation: “模糊去除”提供了用于从诸如场景的视频序列的运动模糊图像序列构建去模糊图像的各种技术。 重要的是，这种脱模是完成的，而不需要专门的信息或相机设置。 事实上，Blur Remover接收连续图像，例如使用常规数字视频捕获设备捕获的典型视频流，并直接处理这些图像以生成或构造用于各种应用的去模糊图像。 对于由Blur Remover启用的各种实施例，不需要视频流之外的其他输入。 更具体地，Blur Remover使用联合全局运动估计和多帧去模糊与可选的自动视频“占空比”估计来构建来自用于各种应用的视频序列的去模糊图像。 此外，自动估计的视频占空比也可以在各种应用中单独使用。

公开(公告)号：US07086061B1

公开(公告)日：2006-08-01

申请号：US10211822

申请日：2002-08-01

Applicant: Prajakta Suresh Joshi ,  Sunanda Lakshmi Kommula

Inventor： Prajakta Suresh Joshi ,  Sunanda Lakshmi Kommula

IPC: G06F9/46 ,  G06F15/16 ,  G06F15/173 ,  G06F3/00 ,  G06F13/24 ,  G06F13/36

CPC classification number: H04L29/12066 ,  H04L29/12783 ,  H04L61/1511 ,  H04L61/35 ,  H04L67/1002 ,  H04L67/1008 ,  H04L67/101 ,  H04L67/1017 ,  H04L67/1021 ,  H04L67/1023

Abstract: Server load-balancing operation-related data, such as data associated with a system configured for global server load balancing (GSLB) that orders IP addresses into a list based on a set of performance metrics, is tracked. Such operation-related data includes inbound source IP addresses (e.g., the address of the originator of a DNS request), the requested host and zone, identification of the selected “best” IP addresses resulting from application of a GSLB algorithm and the selection metric used to decide on an IP address as the “best” one. Furthermore, the data includes a count of the selected “best” IP addresses selected via application of the GSLB algorithm, and for each of these IP addresses, the list of deciding performance metrics, along with a count of the number of times each of these metrics in the list was used as a deciding factor in selection of this IP address as the best one. This tracking feature allows better understanding of GSLB policy decisions (such as those associated with performance, maintenance, and troubleshooting) and intelligent deployment of large-scale resilient GSLB networks.

Abstract translation: 跟踪服务器负载均衡操作相关数据，例如与根据一组性能指标将IP地址排列到列表中的全局服务器负载平衡（GSLB）相关联的系统数据。 这样的操作相关数据包括入站源IP地址（例如，DNS请求的发起者的地址），所请求的主机和区域，从应用GSLB算法产生的所选择的“最佳”IP地址的标识和选择度量 用于决定IP地址为“最佳”。 此外，数据包括通过应用GSLB算法选择的所选择的“最佳”IP地址的计数，并且对于这些IP地址中的每一个，决定性能度量的列表以及每个这些IP地址的次数的计数 列表中的指标被用作选择该IP地址作为最佳选择的决定因素。 此跟踪功能可以更好地了解GSLB策略决策（例如与性能，维护和故障排除相关的策略）以及大规模弹性GSLB网络的智能部署。

公开(公告)号：US10670566B2

公开(公告)日：2020-06-02

申请号：US15777750

申请日：2016-11-18

Applicant: Wan Y. Shih ,  Wei-Heng Shih ,  Christopher Emery ,  Xin Xu ,  Suresh Joshi ,  Wei Wu

Inventor： Wan Y. Shih ,  Wei-Heng Shih ,  Christopher Emery ,  Xin Xu ,  Suresh Joshi ,  Wei Wu

IPC: C12Q1/18 ,  G01N29/12 ,  G01N29/036 ,  G01N29/02

Abstract: A system for and method of antimicrobial susceptibility testing includes detecting a resonance peak of a sensor provided with live microbes on a surface thereof; applying a substance to the live microbes; detecting a resonance peak of said sensor after application of said substance; determining a width of a top of each of said resonance peaks before and after application of the substance from one of: (1) a phase angle versus frequency plot where the phase angle is the phase angle of the electrical impedance of said sensor. (2) a real part of a plot of an electrical impedance versus frequency of said sensor. (3) a plot of a magnitude of electrical impedance versus frequency of said sensor, and (4) a phase angle versus frequency plot where the phase angle is the phase angle between an output voltage and an input voltage of said sensor, and comparing the determined widths of tops of said resonance peaks or standard deviations of the frequency of said resonance peaks to determine antimicrobial susceptibility including the minimum inhibitory concentration (MIC).

公开(公告)号：US20110211758A1

公开(公告)日：2011-09-01

申请号：US12715347

申请日：2010-03-01

Applicant: Neel Suresh Joshi ,  Michael F. Cohen

Inventor： Neel Suresh Joshi ,  Michael F. Cohen

IPC: G06K9/40 ,  G06K9/32 ,  G06K9/00

CPC classification number: G06T5/50 ,  G06T5/002 ,  G06T5/003 ,  G06T2207/20216

Abstract: The multi-image sharpening and denoising technique described herein creates a clean (low-noise, high contrast), detailed image of a scene from a temporal series of images of the scene. The technique employs a process of image alignment to remove global and local camera motion plus a novel weighted image averaging procedure that avoids sacrificing sharpness to create a resultant high-detail, low-noise image from the temporal series. In addition, the multi-image sharpening and denoising technique can employ a dehazing procedure that uses a spatially varying airlight model to dehaze an input image.

Abstract translation: 本文描述的多图像锐化和去噪技术从场景的时间序列图像创建清晰（低噪声，高对比度）的场景的详细图像。 该技术采用图像对准处理来去除全局和局部相机运动加上新颖的加权图像平均过程，避免了从时间序列产生高精细，低噪声的图像的清晰度。 此外，多图像锐化和去噪技术可以采用使用空间变化的气模模型去粉碎输入图像的去雾程序。

公开(公告)号：US20100223621A1

公开(公告)日：2010-09-02

申请号：US11429177

申请日：2006-05-05

Applicant: Prajakta Suresh Joshi ,  Sunanda Lakshmi Kommula

Inventor： Prajakta Suresh Joshi ,  Sunanda Lakshmi Kommula

IPC: G06F9/46 ,  G06F15/173

CPC classification number: H04L29/12066 ,  H04L29/12783 ,  H04L61/1511 ,  H04L61/35 ,  H04L67/1002 ,  H04L67/1008 ,  H04L67/101 ,  H04L67/1017 ,  H04L67/1021 ,  H04L67/1023

Abstract: Server load-balancing operation-related data, such as data associated with a system configured for global server load balancing (GSLB) that orders IP addresses into a list based on a set of performance metrics, is tracked. Such operation-related data includes inbound source IP addresses (e.g., the address of the originator of a DNS request), the requested host and zone, identification of the selected “best” IP addresses resulting from application of a GSLB algorithm and the selection metric used to decide on an IP address as the “best” one. Furthermore, the data includes a count of the selected “best” IP addresses selected via application of the GSLB algorithm, and for each of these IP addresses, the list of deciding performance metrics, along with a count of the number of times each of these metrics in the list was used as a deciding factor in selection of this IP address as the best one. This tracking feature allows better understanding of GSLB policy decisions (such as those associated with performance, maintenance, and troubleshooting) and intelligent deployment of large-scale resilient GSLB networks.

Abstract translation: 跟踪服务器负载均衡操作相关数据，例如与根据一组性能指标将IP地址排列到列表中的全局服务器负载平衡（GSLB）相关联的系统数据。 这样的操作相关数据包括入站源IP地址（例如，DNS请求的发起者的地址），所请求的主机和区域，从应用GSLB算法产生的所选择的“最佳”IP地址的标识和选择度量 用于决定IP地址为“最佳”。 此外，数据包括通过应用GSLB算法选择的所选择的“最佳”IP地址的计数，并且对于这些IP地址中的每一个，决定性能度量的列表以及每个这些IP地址的次数的计数 列表中的指标被用作选择该IP地址作为最佳选择的决定因素。 此跟踪功能可以更好地了解GSLB策略决策（例如与性能，维护和故障排除相关的策略）以及大规模弹性GSLB网络的智能部署。

公开(公告)号：US07327694B2

公开(公告)日：2008-02-05

申请号：US10209314

申请日：2002-07-31

Applicant: Atul Suresh Joshi ,  Anoop R. Kulkarni

Inventor： Atul Suresh Joshi ,  Anoop R. Kulkarni

IPC: H04Q7/24

CPC classification number: H04L69/16 ,  H04L1/0001 ,  H04L1/1809 ,  H04L1/1832 ,  H04L1/1838 ,  H04L1/1858 ,  H04L69/163 ,  H04W52/0241 ,  H04W80/00 ,  H04W92/10

Abstract: A system for transmitting data is provided. The system includes a first station having a processor to format source data into data frames and idle frames, and a module to transmit the data and idle frames. A second station is in communication with the first station and has a module to receive the data frames and idle frames and a processor configured to detect an absence of an expected data frame, transmit a plurality of repeat negative acknowledgements if the absent expected data frame is not received, transmit a negative acknowledgement corresponding to the absent expected data frame, determine whether a rate of idle frames exceeds a predetermined threshold and reduce transmission of repeat negative acknowledgements when the rate of idle frames does not exceed the predetermined threshold. The first station may be a base station and the second station may be a mobile station.

Abstract translation: 提供了一种用于发送数据的系统。 该系统包括具有将源数据格式化为数据帧和空闲帧的处理器的第一站以及用于发送数据和空闲帧的模块。 第二站与第一站通信，并且具有用于接收数据帧和空闲帧的模块，以及被配置为检测不存在期望数据帧的处理器，如果缺少的预期数据帧是不存在，则发送多个重复否定确认 不接收，发送对应于不存在的预期数据帧的否定确认，确定空闲帧的速率是否超过预定阈值，并且当空闲帧的速率不超过预定阈值时，减少重复否定确认的传输。 第一站可以是基站，第二站可以是移动站。