公开(公告)号：US20060233438A1

公开(公告)日：2006-10-19

申请号：US11106812

申请日：2005-04-14

Applicant: Ning Xu ,  Yeong-Taeg Kim

Inventor： Ning Xu ,  Yeong-Taeg Kim

IPC: G06K9/00

CPC classification number: G09G3/2051

Abstract: A super dithering method of color video quantization maintains the perceived video quality on a display with less bit depth of color than the input video. Super dithering relies on both the spatial and temporal properties of human visual system, wherein spatial dithering is applied to account for human eye's low pass spatial property, while temporal dithering is applied to achieve the quantization level of the spatial dithering.

Abstract translation: 彩色视频量化的超抖动方法在显示器上保持感知视频质量，比输入视频具有更少的位深度的颜色。 超级抖动依赖于人类视觉系统的空间和时间属性，其中应用空间抖动来考虑人眼的低通空间特性，同时应用时间抖动来实现空间抖动的量化水平。

公开(公告)号：US20060220843A1

公开(公告)日：2006-10-05

申请号：US11345737

申请日：2006-02-01

Applicant: Alan Broad ,  Rahul Kapur ,  Jaidev Prabhu ,  Martin Turon ,  Ning Xu

Inventor： Alan Broad ,  Rahul Kapur ,  Jaidev Prabhu ,  Martin Turon ,  Ning Xu

IPC: G08B1/08

CPC classification number: H04W52/0216 ,  G08B25/009 ,  G08B25/10 ,  G08B29/188 ,  H04W84/18 ,  Y02D70/22

Abstract: A plurality of modules interact to form an adaptive network in which each module transmits and receives data signals indicative of proximity of objects. A central computer accumulates the data produced or received and relayed by each module for analyzing proximity responses to transmit through the adaptive network control signals to a selectively-addressed module to respond to computer analyzes of the data accumulated from modules forming the adaptive network. Interactions of local processors in modules that sense an intrusion determine the location and path of movements of the intruding object and control cameras in the modules to retrieve video images of the intruding object. Multiple operational frequencies in adaptive networks permit expansions by additional networks that each operate at separate radio frequencies to avoid overlapping interaction. Additional modules may be introduced into operating networks without knowing the operating frequency at the time of introduction. New programs are distributed to all or selected modules under control of the base station.

Abstract translation: 多个模块交互以形成自适应网络，其中每个模块发送和接收指示对象接近的数据信号。 中央计算机累积由每个模块生成或接收和中继的数据，用于分析接近响应，以通过自适应网络控制信号传送到选择性寻址的模块，以响应从形成自适应网络的模块累积的数据的计算机分析。 感知入侵的模块中的本地处理器的交互决定了模块中入侵物体和控制摄像机的移动的位置和路径，以检索入侵物体的视频图像。 自适应网络中的多个操作频率允许通过附加网络进行扩展，每个网络在不同的射频频率下操作以避免重叠的交互。 在不知道引入时的工作频率的情况下，可以将额外的模块引入到操作网络中。 新程序分配给基站控制下的所有或所选模块。

公开(公告)号：US20060139448A1

公开(公告)日：2006-06-29

申请号：US11025109

申请日：2004-12-29

Applicant: Victor Ha ,  Ning Xu ,  Yeong-Taeg Kim

Inventor： Victor Ha ,  Ning Xu ,  Yeong-Taeg Kim

IPC: H04N13/04 ,  H04N15/00

CPC classification number: H04N19/597 ,  H04N13/305 ,  H04N13/31 ,  H04N13/349 ,  H04N13/359 ,  H04N13/361

Abstract: A display system that displays a mixture of 2D and 3D video content is provided. A switching mechanism in the display system turns the 2D/3D mode of different portions of the screen on and off independently and automatically. Any type (2D, 3D, mixed) of video content can be displayed on any part of the screen simultaneously. The switching between different modes (2D, 3D, mixed) is performed automatically according to input control signals received from an internal device, or determined by a 2D/3D content detector in a computer, set-top-box, and/or cable/satellite tuner/receiver.

Abstract translation: 提供了显示2D和3D视频内容的混合的显示系统。 显示系统中的切换机构可以独立自动地将屏幕的不同部分的2D / 3D模式打开和关闭。 视频内容的任何类型（2D，3D，混合）可以同时显示在屏幕的任何部分。 根据从内部设备接收到的输入控制信号，或者由计算机中的2D / 3D内容检测器，机顶盒和/或电缆/数据接收机确定的不同模式之间的切换（2D，3D，混合） 卫星调谐器/接收机。

公开(公告)号：US10178860B2

公开(公告)日：2019-01-15

申请号：US13575242

申请日：2011-01-28

Applicant: Dawn Wesson ,  Charles Apperson ,  Loganathan Ponnusamy ,  Ning Xu ,  Coby Schal ,  Christopher Hoffmann

Inventor： Dawn Wesson ,  Charles Apperson ,  Loganathan Ponnusamy ,  Ning Xu ,  Coby Schal ,  Christopher Hoffmann

IPC: A01M1/00 ,  A01M1/10 ,  A01M1/20

Abstract: A mosquito trap includes a container having an open end and a composition positioned in the container. The composition comprises at least one active agent. The mosquito trap also includes an enclosure protruding above the open end of the container. The enclosure includes an opening to access an interior of the enclosure and the open end of the container, and at least one active agent.

公开(公告)号：US20130308858A1

公开(公告)日：2013-11-21

申请号：US13981889

申请日：2012-01-30

Applicant: Ning Xu ,  James E. Crenshaw

Inventor： Ning Xu ,  James E. Crenshaw

IPC: G06K9/46

CPC classification number: G06K9/4652 ,  H04N1/60

Abstract: Methods and systems for restoring image integrity in an image are described. The described methods and systems are particularly applied against an image after determining whether the image has undergone at least one of a color mutation, a non-color mutation, or a combination of a color mutation and a non-color mutation.

Abstract translation: 描述了用于恢复图像中的图像完整性的方法和系统。 在确定图像是否经历了颜色突变，非颜色突变或颜色突变和非颜色突变的组合中的至少一种后，所描述的方法和系统特别应用于图像。

公开(公告)号：US08483518B2

公开(公告)日：2013-07-09

申请号：US12709311

申请日：2010-02-19

Applicant: Bin Zhu ,  Jia Liu ,  Qiujie Li ,  Shipeng Li ,  Ning Xu

Inventor： Bin Zhu ,  Jia Liu ,  Qiujie Li ,  Shipeng Li ,  Ning Xu

IPC: G06K9/60

CPC classification number: G06F21/36 ,  G06F17/30247 ,  G06T7/11 ,  G06T7/194 ,  G06T11/60 ,  G06T2210/22

Abstract: Techniques for an image-based CAPTCHA for object recognition are described. The disclosure describes adding images to a database by collecting images by querying descriptive keywords to an image search engine or crawling images from the Internet.The disclosure describes generating the image-based CAPTCHA. The image is retrieved from the database, along with objects having significant values. An object is cropped from its image. The portion on the image where the object has been cropped is filled with image inpainting. The process obtains other objects from the database. The object is mixed among the other objects to form a set of candidate objects. A user is asked to select “the object” from the set of candidate objects that fits or matches the image. The image-based CAPTCHA evaluates whether a response, the selection, is from a human or a bot.

Abstract translation: 描述了用于对象识别的基于图像的CAPTCHA的技术。 本公开内容描述了通过向图像搜索引擎查询描述性关键词或从因特网爬行图像来收集图像来向图像数据库添加图像。 该公开内容描述了生成基于图像的CAPTCHA。 从数据库中检索图像以及具有重要值的对象。 一个物体从其图像中裁剪出来。 被裁剪对象的图像部分填充有图像修复。 该进程从数据库获取其他对象。 对象在其他对象之间进行混合以形成一组候选对象。 要求用户从适合或匹配图像的候选对象集中选择“对象”。 基于图像的CAPTCHA评估响应，选择是来自人还是机器人。

公开(公告)号：US08107726B2

公开(公告)日：2012-01-31

申请号：US12141824

申请日：2008-06-18

Applicant: Ning Xu ,  Arunkumar Mohananchettiar

Inventor： Ning Xu ,  Arunkumar Mohananchettiar

IPC: G06K9/34

CPC classification number: G06K9/6297 ,  G06K9/6256 ,  G06K9/6857 ,  G06T7/11 ,  G06T7/162 ,  G06T2207/10016 ,  G06T2207/20016

Abstract: Systems and methods for processing an image to determine whether segments of the image belong to an object class are disclosed. In one embodiment, the method comprises receiving digitized data representing an image, the image data comprising a plurality of pixels, segmenting the pixel data into segments at a plurality of scale levels, determining feature vectors of the segments at the plurality of scale levels, the feature vectors comprising one or more measures of visual perception of the segments, determining one or more similarities, each similarity determined by comparing two or more feature vectors, determining, for each of a first subset of the segments, a first measure of probability that the segments is a member of an object class, determining probability factors based on the determined first measures of probability and similarity factors based on the determined similarities, and performing factor graph analysis to determine a second measure of probability for each of a second subset of the segments based on the probability factors and similarity factors.

Abstract translation: 公开了用于处理图像以确定图像的片段是否属于对象类的系统和方法。 在一个实施例中，所述方法包括接收表示图像的数字化数据，所述图像数据包括多个像素，将所述像素数据分割成多个尺度级别的片段，确定所述多个尺度级别上的片段的特征向量， 特征矢量，包括一段或多段视觉感知测量段，确定一个或多个相似度，通过比较两个或多个特征向量确定每个相似度，为该段的第一子集中的每一个确定第一测量概率， 段是对象类的成员，基于基于所确定的相似度的所确定的概率和相似性因子的第一度量来确定概率因子，并且执行因子图分析以确定段的第二子集中的每一个的概率的第二度量 基于概率因子和相似性因素。

公开(公告)号：US08050494B2

公开(公告)日：2011-11-01

申请号：US12126688

申请日：2008-05-23

Applicant: Haiying Guan ,  Ning Xu

Inventor： Haiying Guan ,  Ning Xu

IPC: G06K9/00

CPC classification number: G06K9/4652 ,  G06K9/00362 ,  G06K9/6226

Abstract: Systems and methods for motion detection of human skin within temporally adjacent electronic images are provided. Motion detection is accomplished by analyzing the color values of selected pixels within the electronic images represented in CbCr color space. Histogram distributions which represent skin colors and non-skin colors in CbCr color space are modeled in order to provide likelihoods that a selected color value appears within the histogram distributions. Posterior skin probability values, indicating the probability that a selected pixel having a given CbCr color value represents human skin, are calculated from these likelihoods. For each of the selected pixels, an intensity difference of the pixel between the electronic images is compared to an adaptive intensity threshold which is a function of the posterior skin probability in order to determine whether the pixel is in motion.

Abstract translation: 提供了用于在时间上相邻的电子图像内的人皮肤的运动检测的系统和方法。 通过分析CbCr颜色空间中表示的电子图像内的所选像素的颜色值来实现运动检测。 在CbCr颜色空间中表示皮肤颜色和非肤色的直方图分布进行建模，以提供所选颜色值出现在直方图分布中的可能性。 根据这些可能性计算后皮肤概率值，其指示具有给定CbCr颜色值的所选像素表示人皮肤的概率。 对于每个所选择的像素，将电子图像之间的像素的强度差与作为后皮概率的函数的自适应强度阈值进行比较，以便确定像素是否在运动。

公开(公告)号：US20110208716A1

公开(公告)日：2011-08-25

申请号：US12709311

申请日：2010-02-19

Applicant: Jia Liu ,  Bin Benjamin Zhu ,  Qiujie Li ,  Shipeng Li ,  Ning Xu

Inventor： Jia Liu ,  Bin Benjamin Zhu ,  Qiujie Li ,  Shipeng Li ,  Ning Xu

IPC: G06F17/30 ,  G06K9/00

CPC classification number: G06F21/36 ,  G06F17/30247 ,  G06T7/11 ,  G06T7/194 ,  G06T11/60 ,  G06T2210/22

Abstract: Techniques for an image-based CAPTCHA for object recognition are described. The disclosure describes adding images to a database by collecting images by querying descriptive keywords to an image search engine or crawling images from the Internet.The disclosure describes generating the image-based CAPTCHA. The image is retrieved from the database, along with objects having significant values. An object is cropped from its image. The portion on the image where the object has been cropped is filled with image inpainting. The process obtains other objects from the database. The object is mixed among the other objects to from a set of candidate objects. A user is asked to select “the object” from the set of candidate objects that fits or matches the image. The image-based CAPTCHA evaluates whether a response, the selection, is from a human or a bot.

Abstract translation: 描述了用于对象识别的基于图像的CAPTCHA的技术。 本公开内容描述了通过向图像搜索引擎查询描述性关键词或从因特网爬行图像来收集图像来向图像数据库添加图像。 该公开内容描述了生成基于图像的CAPTCHA。 从数据库中检索图像以及具有重要值的对象。 一个物体从其图像中裁剪出来。 被裁剪对象的图像部分填充有图像修复。 该进程从数据库获取其他对象。 该对象在其他对象之间从一组候选对象中进行混合。 要求用户从适合或匹配图像的候选对象集中选择“对象”。 基于图像的CAPTCHA评估响应，选择是来自人还是机器人。

公开(公告)号：US20100192451A1

公开(公告)日：2010-08-05

申请号：US12613920

申请日：2009-11-06

Applicant: Loganathan Ponnusamy ,  Ning Xu ,  Coby Schal ,  Charles S. Apperson

Inventor： Loganathan Ponnusamy ,  Ning Xu ,  Coby Schal ,  Charles S. Apperson

IPC: A01N63/00 ,  A01M1/14

CPC classification number: A01N37/02 ,  A01N63/02 ,  A01N25/22 ,  A01N2300/00

Abstract: Provided are compositions for attracting and/or stimulating oviposition. The compositions comprise a suitable carrier and a bacterium capable of producing nonanoic acid, tetradecanoic acid, or methyl tetradecanoate; Bacillus thuringiensis; Lactococcus lactis; Klebsiella oxytoca; Shigella dysenteriae; Brevundimonas vesicularis; a supernatant of a culture of any of the these bacteria; nonanoic acid; tetradecanoic acid; or methyl tetradecanoate, or any combination thereof, at a concentration effective to attract the mosquito to a target. The compositions may be comprised within a kit or trap. Also provided are methods of attracting mosquitoes to a target.

Abstract translation: 提供了用于吸引和/或刺激产卵的组合物。 组合物包含合适的载体和能够产生壬酸，十四烷酸或十四烷酸甲酯的细菌; 苏云金芽孢杆菌 乳酸乳球菌 克雷伯杆菌 志贺氏痢疾志贺氏菌 水蛭属（Brevundimonas vesicularis） 任何这些细菌的培养物的上清液; 壬酸; 十四烷酸 或十四烷酸甲酯或其任何组合，其浓度有效地将蚊子吸引至靶。 组合物可以包含在试剂盒或捕集器中。 还提供了将蚊子吸引到目标的方法。