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1. 发明申请

US20130346347A1 Method to Predict a Communicative Action that is Most Likely to be Executed Given a Context 审中-公开
标题翻译：预测给予上下文最可能执行的沟通行为的方法
公开(公告)号：US20130346347A1
公开(公告)日：2013-12-26
申请号：US13568957
申请日：2012-08-07
申请人： Anna Patterson , Hrishikesh Aradhye , Wei Hua , Daniel Lehmann , Ruei-Sung Lin
发明人： Anna Patterson , Hrishikesh Aradhye , Wei Hua , Daniel Lehmann , Ruei-Sung Lin
IPC分类号： G06F15/18
CPC分类号： H04M1/72569 , G06N20/00 , H04M1/6008 , H04M1/72566 , H04M1/72572 , H04M2250/06
摘要： Disclosed are apparatus and methods for providing machine-learning services. A context-identification system executing on a mobile platform can receive data comprising context-related data associated with the mobile platform and application-related data received from the mobile platform. The context-identification system can identify a context using the context-related data associated with the mobile platform and/or the application-related data received from the mobile platform. Based on at least one context identified, context-identification system can predict a communicative action associated with the mobile platform by performing a machine-learning operation on the received data. An instruction can be received to execute the communicative action associated with the mobile platform.
摘要翻译：公开了用于提供机器学习服务的装置和方法。在移动平台上执行的上下文识别系统可以接收包括与移动平台相关联的上下文相关数据的数据和从移动平台接收的应用相关数据。上下文识别系统可以使用与移动平台相关联的上下文相关数据和/或从移动平台接收的应用相关数据来识别上下文。基于所识别的至少一个上下文，上下文识别系统可以通过对接收到的数据执行机器学习操作来预测与移动平台相关联的交互动作。可以接收指令来执行与移动平台相关联的交互动作。

2. 发明申请

US20090002475A1 Apparatus and System for Improving Image Quality 有权
标题翻译：用于提高图像质量的设备和系统
公开(公告)号：US20090002475A1
公开(公告)日：2009-01-01
申请号：US11769002
申请日：2007-06-27
申请人： Kevin W. Jelley , Ruei-Sung Lin , Bei Tang
发明人： Kevin W. Jelley , Ruei-Sung Lin , Bei Tang
IPC分类号： H04N7/14
CPC分类号： H04N7/142 , H04N5/2256 , H04N5/33 , H04N5/35545
摘要： A system and an apparatus for improving image quality of an object in video telephony are described. The apparatus comprises an image detection unit, an image alignment unit and an image fusion unit. A near infrared light source in the image detection unit illuminates the object, such that the object is front illuminated. An image sensor alongside the near infrared light source generates a near infrared image and a visible image. An image alignment unit aligns the near infrared image and the visible image. An image fusion unit fuses the aligned near infrared image and aligned visible image pair to form a composite image of the object. The composite image of the object has improved image quality, image detail, and a reduction in shadows.
摘要翻译：描述了用于提高视频电话中的对象的图像质量的系统和装置。该装置包括图像检测单元，图像对准单元和图像融合单元。图像检测单元中的近红外光源照射物体，使得物体被正面照亮。靠近近红外光源的图像传感器产生近红外图像和可见光图像。图像对准单元对准近红外图像和可见图像。图像融合单元将对齐的近红外图像和对准的可见图像对融合以形成对象的合成图像。对象的合成图像具有改善的图像质量，图像细节和减少阴影。

3. 发明授权

US07463754B2 Adaptive probabilistic visual tracking with incremental subspace update 有权
标题翻译：具有增量子空间更新的自适应概率视觉跟踪
公开(公告)号：US07463754B2
公开(公告)日：2008-12-09
申请号：US10989966
申请日：2004-11-15
申请人： Ming-Hsuan Yang , Jongwoo Lim , David Ross , Ruei-Sung Lin
发明人： Ming-Hsuan Yang , Jongwoo Lim , David Ross , Ruei-Sung Lin
IPC分类号： G06K9/00
CPC分类号： G06K9/621 , G06K9/3241 , G06T7/207
摘要： A system and a method are disclosed for adaptive probabilistic tracking of an object within a motion video. The method utilizes a time-varying Eigenbasis and dynamic, observation and inference models. The Eigenbasis serves as a model of the target object. The dynamic model represents the motion of the object and defines possible locations of the target based upon previous locations. The observation model provides a measure of the distance of an observation of the object relative to the current Eigenbasis. The inference model predicts the most likely location of the object based upon past and present observations. The method is effective with or without training samples. A computer-based system provides a means for implementing the method. The effectiveness of the system and method are demonstrated through simulation.
摘要翻译：公开了用于运动视频内的对象的自适应概率跟踪的系统和方法。该方法利用时变特征向量和动态，观察和推理模型。 Eigenbasis作为目标对象的模型。动态模型表示对象的运动，并根据先前的位置定义目标的可能位置。观察模型提供了对象相对于当前Eigenbasis的观察距离的度量。推论模型基于过去和现在的观察预测对象的最可能的位置。该方法在有或没有训练样本的情况下是有效的。基于计算机的系统提供了实现该方法的手段。通过仿真证明了系统和方法的有效性。

4. 发明授权

US08706675B1 Video content claiming classifier 有权
标题翻译：视频内容声明分类器
公开(公告)号：US08706675B1
公开(公告)日：2014-04-22
申请号：US13220378
申请日：2011-08-29
申请人： Clifford Samaniego , David G. King , David A. Ross , Alexander Joshua Frank , Omid Madani , Kenji Arai , Ruei-Sung Lin
发明人： Clifford Samaniego , David G. King , David A. Ross , Alexander Joshua Frank , Omid Madani , Kenji Arai , Ruei-Sung Lin
IPC分类号： G06F9/44 , G06N7/02 , G06N7/06
CPC分类号： G06N5/022 , G06Q30/0201 , G06Q30/0241 , G06Q30/0251
摘要： A video hosting service comprising video classifiers that identify content sources of content included in videos uploaded to the video hosting service. Identifying the content source allows a content owner of the content source to claim ownership of videos that include content based on the content source. Usage policies associated with the content owners are applied to the uploaded videos that describe how the video hosting service is to treat the videos.
摘要翻译：一种视频托管服务，包括视频分类器，其识别上传到视频托管服务的视频中的内容的内容源。识别内容源允许内容来源的内容所有者声称基于内容源包含内容的视频的所有权。与内容所有者相关联的使用政策适用于上传的视频，描述视频托管服务如何对待视频。

5. 发明申请

US20100111440A1 METHOD AND APPARATUS FOR TRANSFORMING A NON-LINEAR LENS-DISTORTED IMAGE 有权
标题翻译：用于变换非线性透镜失真图像的方法和装置
公开(公告)号：US20100111440A1
公开(公告)日：2010-05-06
申请号：US12262363
申请日：2008-10-31
申请人： Sek M. Chai , Malcolm R. Dwyer , Ruei-Sung Lin , Daniel A. Linzmeier , Nikolaos Bellas
发明人： Sek M. Chai , Malcolm R. Dwyer , Ruei-Sung Lin , Daniel A. Linzmeier , Nikolaos Bellas
IPC分类号： G06K9/54
CPC分类号： G06T5/006 , G06T3/0018 , H04N1/387
摘要： A method and apparatus for image processing a lens-distorted image (e.g., a fisheye image) is provided. The method includes partitioning coordinate points in a selected output image into tiles. The output image is an undistorted rendition of a subset of the lens-distorted image. Coordinate points on a border of the tiles in the output image are selected. For each tile, coordinate points in the lens-distorted image corresponding to each selected coordinate point in the output image are calculated. In addition, for each tile, a bounding box on the lens-distorted image is selected. The bounding box includes the calculated coordinates in the lens-distorted image. The bounding boxes are expanded so that they encompass all coordinate points in the lens-distorted image that map to all coordinate points in their respective corresponding tiles. Output pixel values are generated for each tile from pixel values in their corresponding expanded bounding boxes.
摘要翻译：提供了一种用于图像处理镜片失真图像（例如，鱼眼图像）的方法和装置。该方法包括将所选输出图像中的坐标点分割成瓦片。输出图像是透镜失真图像的子集的未失真的再现。选择输出图像中瓦片边框的坐标点。对于每个瓦片，计算与输出图像中的每个所选坐标点相对应的透镜失真图像中的坐标点。另外，对于每个瓦片，选择透镜失真图像上的边界框。边界框包括透镜失真图像中计算的坐标。边界框被扩展，使得它们包含映射到它们各自对应的瓦片中的所有坐标点的透镜失真图像中的所有坐标点。从其对应的扩展边界框中的像素值为每个图块生成输出像素值。

6. 发明申请

US20060023916A1 Visual tracking using incremental fisher discriminant analysis 有权
标题翻译：使用增量渔民判别分析的视觉跟踪
公开(公告)号：US20060023916A1
公开(公告)日：2006-02-02
申请号：US11179280
申请日：2005-07-11
申请人： Ming-Hsuan Yang , Ruei-Sung Lin
发明人： Ming-Hsuan Yang , Ruei-Sung Lin
IPC分类号： G06K9/00
CPC分类号： G06K9/00241 , G06K9/00261 , G06K9/3233 , G06K9/6214 , G06K9/6234 , G06K9/6247 , G06T7/246 , G06T7/277 , G06T7/70 , G06T2207/30241
摘要： Visual tracking over a sequence of images is formulated by defining an object class and one or more background classes. The most discriminant features available in the images are then used to select a portion of each image as belonging to the object class. Fisher's linear discriminant method is used to project high-dimensional image data onto a lower-dimensional space, e.g., a line, and perform classification in the lower-dimensional space. The projection function is incrementally updated.
摘要翻译：通过定义一个对象类和一个或多个后台类来制定一系列图像的视觉跟踪。然后使用图像中可用的最大判别特征来将每个图像的一部分选择为属于对象类。 Fisher线性判别方法用于将高维图像数据投影到较低维空间（例如一行）上，并在低维空间中进行分类。投影功能逐步更新。

7. 发明授权

US08326077B2 Method and apparatus for transforming a non-linear lens-distorted image 有权
标题翻译：用于变换非线性透镜失真图像的方法和装置
公开(公告)号：US08326077B2
公开(公告)日：2012-12-04
申请号：US12262363
申请日：2008-10-31
申请人： Sek M. Chai , Malcolm R. Dwyer , Ruei-Sung Lin , Daniel A. Linzmeier , Nikolaos Bellas
发明人： Sek M. Chai , Malcolm R. Dwyer , Ruei-Sung Lin , Daniel A. Linzmeier , Nikolaos Bellas
IPC分类号： G06K9/40
CPC分类号： G06T5/006 , G06T3/0018 , H04N1/387
摘要： A method and apparatus for image processing a lens-distorted image (e.g., a fisheye image) is provided. The method includes partitioning coordinate points in a selected output image into tiles. The output image is an undistorted rendition of a subset of the lens-distorted image. Coordinate points on a border of the tiles in the output image are selected. For each tile, coordinate points in the lens-distorted image corresponding to each selected coordinate point in the output image are calculated. In addition, for each tile, a bounding box on the lens-distorted image is selected. The bounding box includes the calculated coordinates in the lens-distorted image. The bounding boxes are expanded so that they encompass all coordinate points in the lens-distorted image that map to all coordinate points in their respective corresponding tiles. Output pixel values are generated for each tile from pixel values in their corresponding expanded bounding boxes.
摘要翻译：提供了一种用于图像处理镜片失真图像（例如，鱼眼图像）的方法和装置。该方法包括将所选输出图像中的坐标点分割成瓦片。输出图像是透镜失真图像的子集的未失真的再现。选择输出图像中瓦片边框的坐标点。对于每个瓦片，计算与输出图像中的每个所选坐标点相对应的透镜失真图像中的坐标点。另外，对于每个瓦片，选择透镜失真图像上的边界框。边界框包括透镜失真图像中计算的坐标。边界框被扩展，使得它们包含映射到它们各自对应的瓦片中的所有坐标点的透镜失真图像中的所有坐标点。从其对应的扩展边界框中的像素值为每个图块生成输出像素值。

8. 发明授权

US08139899B2 Increasing resolution of video images 有权
标题翻译：增加视频图像的分辨率
公开(公告)号：US08139899B2
公开(公告)日：2012-03-20
申请号：US11923044
申请日：2007-10-24
申请人： Ruei-Sung Lin , Boaz Super
发明人： Ruei-Sung Lin , Boaz Super
IPC分类号： G06K9/32
CPC分类号： G06T3/4007
摘要： A method and apparatus for increasing resolution of video images are disclosed. Vectors may be produced based on a sequence of video frames. Low dimensional vectors may be produced from the vectors. Groups of at least two of the low dimensional vectors may be interpolated to produce respective low dimensional interpolated vectors. Each of the low dimensional vectors and the interpolated low dimensional vectors may be mapped, according to a model, to obtain dimensionally increased image information. Aspects of the image information may be included in corresponding video frames and corresponding interpolated video frames.
摘要翻译：公开了一种提高视频图像分辨率的方法和装置。可以基于视频帧序列来生成向量。可以从载体产生低维向量。可以对至少两个低维向量的组进行内插以产生相应的低维插值向量。可以根据模型来映射每个低维向量和内插的低维向量以获得尺寸增大的图像信息。图像信息的方面可以包括在对应的视频帧和对应的内插视频帧中。

9. 发明申请

US20090110329A1 Method and Apparatus to Facilitate Forming a Compensated Image of a Wide-Angle Image 有权
标题翻译：促进形成广角图像的补偿图像的方法和装置
公开(公告)号：US20090110329A1
公开(公告)日：2009-04-30
申请号：US11924254
申请日：2007-10-25
申请人： Ruei-Sung Lin , James E. Crenshaw
发明人： Ruei-Sung Lin , James E. Crenshaw
IPC分类号： G06K9/20
CPC分类号： G06T5/006
摘要： Straight lines in a compensated image of a wide-angle image are identified (102) and corresponding curved lines of pixels in the wide-angle image identified (103) as well. For given points in the aforementioned straight lines, a corresponding point in the corresponding curved lines is identified by determining an intersection of those curved lines with another line of pixels in the wide-angle image (104). The latter can comprise either a curved line that corresponds to another straight line in the compensated image, in which case the intersection is noted by tracing the curved lines using a scan-rasterization algorithm. The latter can also comprise, if desired, a straight line that corresponds to another straight line in the compensated image. In either case, the point of intersection is readily and efficiently determined.
摘要翻译：在广角图像的补偿图像中的直线也被识别（102）和所确定的广角图像中的对应的像素曲线（103）。对于上述直线中的给定点，通过确定这些曲线与广角图像（104）中的另一行像素的相交，来识别相应曲线中的对应点。后者可以包括对应于补偿图像中的另一条直线的曲线，在这种情况下，通过使用扫描光栅化算法跟踪曲线来注意交点。如果需要，后者还可以包括对应于补偿图像中的另一条直线的直线。在任一情况下，交叉点都容易有效地确定。

10. 发明申请

US20060036399A1 Adaptive discriminative generative model and application to visual tracking 有权
标题翻译：自适应识别生成模型和应用于视觉跟踪
公开(公告)号：US20060036399A1
公开(公告)日：2006-02-16
申请号：US11179881
申请日：2005-07-11
申请人： Ming-Hsuan Yang , Ruei-Sung Lin , Jongwoo Lim , David Ross
发明人： Ming-Hsuan Yang , Ruei-Sung Lin , Jongwoo Lim , David Ross
IPC分类号： G06F17/18
CPC分类号： G06K9/00241 , G06K9/00261 , G06K9/3233 , G06K9/6214 , G06K9/6234 , G06K9/6247 , G06T7/246 , G06T7/277 , G06T7/70 , G06T2207/30241
摘要： A system and a method are disclosed for an adaptive discriminative generative model with a probabilistic interpretation. As applied to visual tracking, the discriminative generative model separates the target object from the background more accurately and efficiently than conventional methods. A computationally efficient algorithm constantly updates the discriminative model over time. The discriminative generative model adapts to accommodate dynamic appearance variations of the target and background. Experiments show that the discriminative generative model effectively tracks target objects undergoing large pose and lighting changes.
摘要翻译：公开了一种具有概率解释的自适应识别生成模型的系统和方法。应用于视觉跟踪，鉴别生成模型比传统方法更准确有效地将目标对象与背景分离。计算有效的算法随着时间不断更新辨别模型。鉴别生成模型适应于适应目标和背景的动态外观变化。实验表明，识别性生成模型有效地跟踪目标物体的大姿态和照明变化。

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