公开(公告)号：US08543924B2

公开(公告)日：2013-09-24

申请号：US12043543

申请日：2008-03-06

申请人： Ying Shan ,  Ying Li

发明人： Ying Shan ,  Ying Li

IPC分类号： G09G5/00

CPC分类号： G06Q30/02

摘要： Methods and computer storage media for creating contextual-display advertisements are provided. A request for a contextual-display advertisement to be presented on a page is received. Upon receiving the request, the page is evaluated to determine the context of the page so that the resulting advertisement is contextually related to the requesting page. The contextually related text and base image are extracted from their respective database to be merged into a contextual-display advertisement. The visual characteristics of the advertisement text are manipulated to provide visual congruity among the elements of the advertisement. Additionally, the placement of the text on the base image is optimized to provide a contextual-image advertisement that is then rendered to be presented on the requesting page.

摘要翻译： 提供了用于创建上下文显示广告的方法和计算机存储介质。 接收到在页面上呈现的上下文显示广告的请求。 在接收到请求时，评估页面以确定页面的上下文，使得所生成的广告与请求页面上下文相关。 从相应的数据库中提取上下文相关的文本和基本图像以合并到上下文显示广告中。 操纵广告文字的视觉特征，以提供广告元素之间的视觉一致性。 此外，文本在基本图像上的放置被优化以提供上下文图像广告，然后将其呈现在请求页面上。

公开(公告)号：US20110078623A1

公开(公告)日：2011-03-31

申请号：US12633609

申请日：2009-12-08

申请人： Xu Liu ,  Ying Shan

发明人： Xu Liu ,  Ying Shan

IPC分类号： G06F3/048

CPC分类号： G06Q30/02

摘要： Computer-readable media and computerized methods for utilizing an awareness of video content within a media file to incorporate an advertisement therein are provided. Building the video-content awareness involves performing an offline authoring process to generate a trajectory. In particular, the offline authoring process includes targeting an object appearing in the video content, tracking movement of the object over a sequence of frames within the media file, and, based on the tracked movement, writing locations of the object to the trajectory. In an online rendering process, invoked upon initiating play of the media file, the advertisement is automatically selected and dynamically placed on top of the video content as a function of the locations within the trajectory. Accordingly, by repositioning the advertisement (typically an animation) within the video content based on the movement of the object, an illusion that the advertisement visually interacts with the object is generated.

摘要翻译： 提供了一种用于利用媒体文件中的视频内容的意识来包含其中的广告的计算机可读介质和计算机化方法。 构建视频内容感知包括执行离线创作过程以生成轨迹。 特别地，离线创作过程包括定位出现在视频内容中的对象，通过媒体文件中的一系列帧跟踪对象的移动，并且基于跟踪的移动，将对象的位置写入轨迹。 在联机绘制过程中，在发起媒体文件的播放时被调用，广告被自动选择并被动态地放置在视频内容之上，作为轨迹内的位置的函数。 因此，通过基于对象的移动重新定位视频内容内的广告（通常为动画），生成广告与对象视觉交互的错觉。

公开(公告)号：US07853072B2

公开(公告)日：2010-12-14

申请号：US11780109

申请日：2007-07-19

申请人： Feng Han ,  Ying Shan ,  Ryan Cekander ,  Harpreet S. Sawhney ,  Rakesh Kumar

发明人： Feng Han ,  Ying Shan ,  Ryan Cekander ,  Harpreet S. Sawhney ,  Rakesh Kumar

IPC分类号： G06K9/62

CPC分类号： G06K9/4642

摘要： The present invention provides an improved system and method for object detection with histogram of oriented gradient (HOG) based support vector machine (SVM). Specifically, the system provides a computational framework to stably detect still or not moving objects over a wide range of viewpoints. The framework includes providing a sensor input of images which are received by the “focus of attention” mechanism to identify the regions in the image that potentially contain the target objects. These regions are further computed to generate hypothesized objects, specifically generating selected regions containing the target object hypothesis with respect to their positions. Thereafter, these selected regions are verified by an extended HOG-based SVM classifier to generate the detected objects.

摘要翻译： 本发明提供一种用于基于定向梯度（HOG）的支持向量机（SVM）直方图的物体检测的改进的系统和方法。 具体地，该系统提供了一个计算框架，用于在宽范围的视点中稳定地检测静止或不移动的物体。 框架包括提供通过“注意力”机制接收的图像的传感器输入，以识别可能包含目标对象的图像中的区域。 进一步计算这些区域以产生假设对象，特别地生成包含关于其位置的目标对象假设的选定区域。 此后，通过扩展的基于HOG的SVM分类器验证这些选择的区域以生成检测到的对象。

公开(公告)号：US20100312608A1

公开(公告)日：2010-12-09

申请号：US12479428

申请日：2009-06-05

申请人： YING SHAN ,  XU LIU ,  JUNXIAN WANG ,  HUAZHONG NING ,  JIAYUAN HUANG ,  ASHISH GUPTA

发明人： YING SHAN ,  XU LIU ,  JUNXIAN WANG ,  HUAZHONG NING ,  JIAYUAN HUANG ,  ASHISH GUPTA

IPC分类号： G06Q30/00 ,  G06Q99/00 ,  G06F17/30 ,  G06F3/01

CPC分类号： H04N21/4882 ,  G06F16/9535 ,  G06Q30/02 ,  G06Q30/0255 ,  G06Q30/0256 ,  G06Q30/0269 ,  H04N21/4312 ,  H04N21/4314 ,  H04N21/4318 ,  H04N21/44008 ,  H04N21/44016 ,  H04N21/4532 ,  H04N21/4622 ,  H04N21/478 ,  H04N21/812 ,  H04N21/8126

摘要： Described herein are techniques and components for displaying a text advertisement in an online video being viewed by a user. The advertisement is selected based on keywords associated with the online video or the user, and the selected advertisement is presented as an overlay on the rendered video over regions of frames determined to be less important in the video. To determine importance, every frame of the online video is divided into grids, and parameters of the visual data in each grid are analyzed. Based on the analysis of each grid, regions in successive frames are identified to display the selected advertisement.

摘要翻译： 这里描述的是用于在用户正在观看的在线视频中显示文本广告的技术和组件。 基于与在线视频或用户相关联的关键词选择广告，并且所选择的广告在被确定为在视频中不那么重要的帧的区域上被呈现为所渲染的视频上的覆盖。 为了确定重要性，将在线视频的每个帧划分为网格，并分析每个网格中的视觉数据的参数。 基于每个网格的分析，识别连续帧中的区域以显示所选择的广告。

公开(公告)号：US20090251594A1

公开(公告)日：2009-10-08

申请号：US12060890

申请日：2008-04-02

申请人： Gang Hua ,  Cha Zhang ,  Zhengyou Zhang ,  Zicheng Liu ,  Ying Shan

发明人： Gang Hua ,  Cha Zhang ,  Zhengyou Zhang ,  Zicheng Liu ,  Ying Shan

IPC分类号： H04N7/01

CPC分类号： G06T11/00 ,  H04N1/3875 ,  H04N7/0122 ,  H04N21/2662

摘要： Videos are retargeted to a target display for viewing with little to no geometric distortion or video information loss. Salient regions of video frames may be determined using scale-space spatiotemporal information. Video information loss may be a result of spatial loss, due to cropping, and resolution loss, due to resizing. A desired cropping window may be determined using a coarse-to-fine searching strategy. Video frames may be cropped with a window that matches an aspect ratio of the target display, and resized isotropically to match a size of the target display.

摘要翻译： 视频被重定向到目标显示器，用于观看几乎没有几何失真或视频信息丢失。 可以使用尺度空间时空信息来确定视频帧的显着区域。 视频信息丢失可能是由于调整大小而导致的空间损失，由于裁剪和分辨率损失造成的。 可以使用粗略到精细的搜索策略来确定期望的裁剪窗口。 可以用与目标显示器的纵横比匹配的窗口裁剪视频帧，并且各向同性地调整大小以匹配目标显示器的大小。

公开(公告)号：US20080089579A1

公开(公告)日：2008-04-17

申请号：US11762400

申请日：2007-06-13

申请人： Feng Han ,  Ying Shan ,  Harpreet Sawhney ,  Rakesh Kumar

发明人： Feng Han ,  Ying Shan ,  Harpreet Sawhney ,  Rakesh Kumar

IPC分类号： G06K9/62

CPC分类号： G06K9/6256

摘要： The present invention provides a computer implemented process for detecting multi-view multi-pose objects. The process comprises training of a classifier for each intra-class exemplar, training of a strong classifier and combining the individual exemplar-based classifiers with a single objective function. This function is optimized using the two nested AdaBoost loops. The first loop is the outer loop that selects discriminative candidate exemplars. The second loop, the inner loop selects the discriminative candidate features on the selected exemplars to compute all weak classifiers for a specific position such as a view/pose. Then all the computed weak classifiers are automatically combined into a final classifier (strong classifier) which is the object to be detected.

摘要翻译： 本发明提供了一种用于检测多视点多姿态对象的计算机实现过程。 该过程包括针对每个类内样本的分类器的训练，强分类器的训练和将单个基于样本的分类器与单个目标函数组合。 使用两个嵌套的AdaBoost循环来优化此功能。 第一个循环是选择区分候选样本的外循环。 第二个循环，内循环选择所选样本上的鉴别候选特征，以计算特定位置（例如视图/姿态）的所有弱分类器。 然后将所有计算的弱分类器自动组合成最终分类器（强分类器），该分类器是要检测的对象。

公开(公告)号：US07308115B2

公开(公告)日：2007-12-11

申请号：US11182629

申请日：2005-07-14

申请人： Zhengyou Zhang ,  Ying Shan

发明人： Zhengyou Zhang ,  Ying Shan

IPC分类号： G06K9/00

CPC分类号： G06T7/251 ,  G06T7/80 ,  G06T2207/10016 ,  G06T2207/30244

摘要： An incremental motion estimation system and process for estimating the camera pose parameters associated with each image of a long image sequence. Unlike previous approaches, which rely on point matches across three or more views, the present system and process also includes those points shared only by two views. The problem is formulated as a series of localized bundle adjustments in such a way that the estimated camera motions in the whole sequence are consistent with each other. The result of the inclusion of two-view matching points and the localized bundle adjustment approach is more accurate estimates of the camera pose parameters for each image in the sequence than previous incremental techniques, and providing an accuracy approaching that of global bundle adjustment techniques except with processing times about 100 to 700 times faster than the global approaches.

摘要翻译： 用于估计与长图像序列的每个图像相关联的相机姿态参数的增量运动估计系统和过程。 不同于以上三种或更多视图中依赖点匹配的方法，本系统和过程也包括仅由两个视图共享的点。 该问题被形成为一系列本地化的束调整，使得整个序列中估计的摄像机运动彼此一致。 包含双视点匹配点和局部束调整方法的结果是对序列中每个图像的相机姿态参数的估计值比以前的增量技术更准确，并提供接近全局束调整技术的精度，除了 处理时间比全球方法快100到700倍。

公开(公告)号：US20060204035A1

公开(公告)日：2006-09-14

申请号：US11295688

申请日：2005-12-05

申请人： Yanlin Guo ,  Harpreet Sawhney ,  Rakesh Kumar ,  Ying Shan ,  Steve Hsu

发明人： Yanlin Guo ,  Harpreet Sawhney ,  Rakesh Kumar ,  Ying Shan ,  Steve Hsu

IPC分类号： G06K9/00 ,  H04N5/225

CPC分类号： G06K9/3241 ,  G06K9/00711 ,  G06K2209/23 ,  G06T7/20 ,  G06T7/246 ,  G06T7/33

摘要： A method and apparatus for tracking a movable object using a plurality of images, each of which is separated by an interval of time is disclosed. The plurality of images includes first and second images. The method and apparatus include elements for aligning the first and second images as a function of (i) at least one feature of a first movable object captured in the first image, and (ii) at least one feature of a second movable object captured in the second image; and after aligning the first and second images, comparing at least one portion of the first image with at least one portion of the second image.

摘要翻译： 公开了一种使用多个图像跟踪可移动物体的方法和装置，每个图像间隔一段时间。 多个图像包括第一和第二图像。 所述方法和装置包括用于将第一和第二图像对准的元件作为（i）在第一图像中捕获的第一可移动物体的至少一个特征的功能，以及（ii）捕获在第一图像中的第二可移动物体的至少一个特征 第二个图像; 并且在对准所述第一和第二图像之后，将所述第一图像的至少一部分与所述第二图像的至少一部分进行比较。

公开(公告)号：US20060008121A1

公开(公告)日：2006-01-12

申请号：US11182629

申请日：2005-07-14

申请人： Zhengyou Zhang ,  Ying Shan

发明人： Zhengyou Zhang ,  Ying Shan

IPC分类号： G06K9/00

CPC分类号： G06T7/251 ,  G06T7/80 ,  G06T2207/10016 ,  G06T2207/30244

摘要： An incremental motion estimation system and process for estimating the camera pose parameters associated with each image of a long image sequence. Unlike previous approaches, which rely on point matches across three or more views, the present system and process also includes those points shared only by two views. The problem is formulated as a series of localized bundle adjustments in such a way that the estimated camera motions in the whole sequence are consistent with each other. The result of the inclusion of two-view matching points and the localized bundle adjustment approach is more accurate estimates of the camera pose parameters for each image in the sequence than previous incremental techniques, and providing an accuracy approaching that of global bundle adjustment techniques except with processing times about 100 to 700 times faster than the global approaches.

公开(公告)号：US06665440B1

公开(公告)日：2003-12-16

申请号：US09583062

申请日：2000-05-30

申请人： Zhengyou Zhang ,  Ying Shan

发明人： Zhengyou Zhang ,  Ying Shan

IPC分类号： G06K962

CPC分类号： G06K9/6211 ,  G06K9/32 ,  G06T7/593

摘要： The present invention is embodied in a curve matching system and method that is guided by a set of matched corners. The corner guided curve matching produces a geometrical representation of the scene from the images, which can be used for any suitable application, such as computer and stereo vision applications. In general, first, multiple images depicting a scene are digitally received by the system. The images are graphical images digitally received and processed. For example, the images can be two dimensional image data, such as bitmap or raster image data. Curves of the images are then matched to correlate the two images of the scene for creating three dimensional (3D) curve information, such as 3D vector or mathematical information, of the scene. This 3D vector information can then be used in any suitable manner, for example, to digitally reconstruct the scene for stereo vision applications.

摘要翻译： 本发明以曲线匹配系统和方法体现，该系统和方法由一组匹配的角指导。 角引导曲线匹配产生了来自图像的场景的几何表示，其可以用于任何合适的应用，诸如计算机和立体视觉应用。 通常，首先，描绘场景的多个图像被系统数字地接收。 图像是数字接收和处理的图形图像。 例如，图像可以是二维图像数据，例如位图或光栅图像数据。 然后匹配图像的曲线以将场景的两个图像相关联，用于创建场景的三维（3D）曲线信息，例如3D矢量或数学信息。 然后可以以任何合适的方式使用该3D矢量信息，例如，数字重建用于立体视觉应用的场景。