公开(公告)号：US20090100330A1

公开(公告)日：2009-04-16

申请号：US12264566

申请日：2008-11-04

申请人： Jin-Lin Chen ,  Yudong Yang ,  Hong-Jiang Zhang

发明人： Jin-Lin Chen ,  Yudong Yang ,  Hong-Jiang Zhang

IPC分类号： G06F17/00

CPC分类号： G06F17/3089

摘要： By understanding a website author's intention through an analysis of the function of a website, website content can be adapted for presentation or rendering in a manner that more closely appreciates and respects the function behind the website. Various inventive systems and methods analyze a website's function so that its content can be adapted to different client environments, e.g. devices, network conditions, or user preferences. A novel function-based object model automatically identifies objects associated with a website, and analyzes those objects in terms of their functions. The function-based object model permits consistent, informed decisions to be made in the adaptation process, so that web content is displayed not only in an organized manner, but in a manner that reflects the author's intention.

摘要翻译： 通过对网站功能的分析了解网站作者的意图，网站内容可以以更加欣赏和尊重网站背后的功能的方式进行呈现或呈现。 各种发明的系统和方法分析网站的功能，使得其内容可以适应于不同的客户端环境，例如， 设备，网络条件或用户偏好。 基于功能的新型对象模型自动识别与网站相关联的对象，并根据其功能对这些对象进行分析。 基于功能的对象模型允许在适应过程中做出一致的，明智的决定，使得网页内容不仅以有组织的方式显示，而且以反映作者意图的方式显示。

公开(公告)号：US07519217B2

公开(公告)日：2009-04-14

申请号：US10997073

申请日：2004-11-23

申请人： Tie-Yan Liu ,  Zhike Kong ,  Hong-Jiang Zhang

发明人： Tie-Yan Liu ,  Zhike Kong ,  Hong-Jiang Zhang

IPC分类号： G06K9/62 ,  G06K9/68

CPC分类号： G06K9/00711 ,  G06K9/6292

摘要： A method and system for generating a classifier to classify sub-objects of an object based on a relationship between sub-objects is provided. The classification system provides training sub-objects along with the actual classification of each training sub-object. The classification system may iteratively train sub-classifiers based on feature vectors representing the features of each sub-object, the actual classification of the sub-object, and a weight associated with the sub-object. After a sub-classifier is trained, the classification system classifies the training sub-objects using the trained sub-classifier. The classification system then adjusts the classifications based on relationships between training sub-objects. The classification system assigns a weight for the sub-classifier and weight for each sub-object based on the accuracy of the adjusted classifications.

摘要翻译： 提供了一种用于生成分类器以根据子对象之间的关系对对象的子对象进行分类的方法和系统。 分类系统提供训练子对象以及每个训练子对象的实际分类。 分类系统可以基于表示每个子对象的特征，子对象的实际分类以及与子对象相关联的权重的特征向量迭代地训练子分类器。 在训练子分类器之后，分类系统使用经过训练的子分类器对训练子对象进行分类。 然后，分类系统基于训练子对象之间的关系来调整分类。 分类系统根据调整后的分类的准确性为每个子对象分配子分类器的权重和权重。

公开(公告)号：US20090052748A1

公开(公告)日：2009-02-26

申请号：US12194467

申请日：2008-08-19

申请人： Dalong Jiang ,  Hong-Jiang Zhang ,  Lei Zhang ,  Shuicheng Yan ,  Yuxiao Hu

发明人： Dalong Jiang ,  Hong-Jiang Zhang ,  Lei Zhang ,  Shuicheng Yan ,  Yuxiao Hu

IPC分类号： G06K9/00 ,  G06K9/36

CPC分类号： G06K9/00288 ,  G06K9/00208

摘要： A method and system for generating 3D images of faces from 2D images, for generating 2D images of the faces at different image conditions from the 3D images, and for recognizing a 2D image of a target face based on the generated 2D images is provided. The recognition system provides a 3D model of a face that includes a 3D image of a standard face under a standard image condition and parameters indicating variations of an individual face from the standard face. To generate the 3D image of a face, the recognition system inputs a 2D image of the face under a standard image condition. The recognition system then calculates parameters that map the points of the 2D image to the corresponding points of a 2D image of the standard face. The recognition system uses these parameters with the 3D model to generate 3D images of the face at different image conditions.

摘要翻译： 提供了一种用于从2D图像生成面部的3D图像的方法和系统，用于在3D图像的不同图像条件下生成面部的2D图像，并且基于所生成的2D图像来识别目标面部的2D图像。 识别系统提供了一种面部的3D模型，其包括在标准图像条件下的标准面的3D图像和指示单个脸部与标准脸部的变化的参数。 为了生成面部的3D图像，识别系统在标准图像条件下输入面部的2D图像。 识别系统然后计算将2D图像的点映射到标准面的2D图像的对应点的参数。 识别系统使用这些参数与3D模型在不同图像条件下生成脸部的3D图像。

公开(公告)号：US07379627B2

公开(公告)日：2008-05-27

申请号：US10689106

申请日：2003-10-20

申请人： Mingjing Li ,  Lei Zhang ,  Yanfeng Sun ,  Hong-Jiang Zhang ,  David R. Parlin

发明人： Mingjing Li ,  Lei Zhang ,  Yanfeng Sun ,  Hong-Jiang Zhang ,  David R. Parlin

IPC分类号： G06K9/54 ,  G06K9/60 ,  G06F17/00 ,  G06F7/00

CPC分类号： G06K9/4652 ,  G06K9/00664 ,  Y10S707/99945 ,  Y10S707/99948

摘要： A process for comparing two digital images is described. The process includes comparing texture moment data for the two images to provide a similarity index, combining the similarity index with other data to provide a similarity value and determining that the two images match when the similarity value exceeds a first threshold value.

摘要翻译： 描述用于比较两个数字图像的过程。 该过程包括比较两个图像的纹理时刻数据以提供相似性索引，将相似性索引与其他数据组合以提供相似性值，并且当相似度值超过第一阈值时确定两个图像匹配。

公开(公告)号：US07302004B2

公开(公告)日：2007-11-27

申请号：US11056030

申请日：2005-02-11

申请人： Hong-Jiang Zhang ,  Yufei Ma

发明人： Hong-Jiang Zhang ,  Yufei Ma

IPC分类号： H04B1/66

CPC分类号： G06K9/00711 ,  G06T7/215 ,  H04N5/144 ,  H04N5/145 ,  H04N19/503

摘要： A system and process for video characterization that facilitates video classification and retrieval, as well as motion detection, applications. This involves characterizing a video sequence with a gray scale image having pixel levels that reflect the intensity of motion associated with a corresponding region in the sequence of video frames. The intensity of motion is defined using any of three characterizing processes. Namely, a perceived motion energy spectrum (PMES) characterizing process that represents object-based motion intensity over the sequence of frames, a spatio-temporal entropy (STE) characterizing process that represents the intensity of motion based on color variation at each pixel location, a motion vector angle entropy (MVAE) characterizing process which represents the intensity of motion based on the variation of motion vector angles.

摘要翻译： 用于视频表征的系统和过程，便于视频分类和检索，以及运动检测应用。 这涉及用具有反映与视频帧序列中的对应区域相关联的运动强度的像素级的灰度级图像表征视频序列。 使用三个特征过程中的任何一个定义运动的强度。 即，表示基于帧序列上的基于对象的运动强度的感知运动能谱（PMES）表征过程，基于每个像素位置处的颜色变化的表示运动强度的时空熵（STE）表征过程， 运动矢量角熵（MVAE）表征过程，其表示基于运动矢量角度的变化的运动强度。

公开(公告)号：US07283992B2

公开(公告)日：2007-10-16

申请号：US09998092

申请日：2001-11-30

申请人： Wen-Yin Liu ,  Hong-Jiang Zhang ,  Zheng Chen

发明人： Wen-Yin Liu ,  Hong-Jiang Zhang ,  Zheng Chen

IPC分类号： G06F17/30

CPC分类号： G06F17/30017 ,  Y10S707/99933 ,  Y10S707/99934 ,  Y10S707/99935 ,  Y10S707/99936 ,  Y10S707/99937 ,  Y10S707/99943

摘要： The described arrangements and procedures provide an intelligent media agent to autonomously collect semantic multimedia data text descriptions on behalf of a user whenever and wherever the user accesses media content. The media agent analyzes these semantic multimedia data text descriptions in view of user behavior patterns and actions to assist the user in identifying multimedia content and related information that is appropriate to the context within which the user is operating or working. For instance, the media agent detects insertion of text and analyzes the inserted text. Based on the analysis, the agent predicts whether a user intends to access media content. If so, the agent retrieves information corresponding to media content from a media content source and presents the information to a user as a suggestion.

摘要翻译： 所描述的布置和过程提供智能媒体代理，用于在用户访问媒体内容的任何地点以及代表用户自主地收集语义多媒体数据文本描述。 媒体代理根据用户行为模式和动作分析这些语义多媒体数据文本描述，以帮助用户识别适合于用户正在操作或工作的上下文的多媒体内容和相关信息。 例如，媒体代理检测文本的插入并分析插入的文本。 基于分析，代理预测用户是否打算访问媒体内容。 如果是这样，代理从媒体内容源检索对应于媒体内容的信息，并将该信息作为建议呈现给用户。

公开(公告)号：US07263660B2

公开(公告)日：2007-08-28

申请号：US10112198

申请日：2002-03-29

申请人： Hong-Jiang Zhang ,  Dong Zhang

发明人： Hong-Jiang Zhang ,  Dong Zhang

IPC分类号： G06F3/00

CPC分类号： G06F17/30843

摘要： A video skim is assembled by identifying one or more key frames from a video shot. Certain lengths of frames to the left and right of the key frame are measured for visual content variety. Depending upon the measured visual content variety to the left and right of the key frame, the video skim is assembled that has L frames to the left of the key frame and R frames to the right of the key frame. Measuring the visual content variety to the left and right of the key frame, provides a video skim that incorporates the more salient features of a shot.

摘要翻译： 通过从视频拍摄中识别一个或多个关键帧来组装视频摘要。 测量关键帧左侧和右侧的某些长度的帧，以获得视觉内容的多样性。 根据关键帧的左侧和右侧所测量的可视内容变化，组合了视频脱落，该关键帧左侧具有L个帧，右侧的R帧位于关键帧的右侧。 测量关键帧左侧和右侧的视觉内容种类，提供了一个视频剪辑，其中包含了镜头的更显着特征。

公开(公告)号：US07218760B2

公开(公告)日：2007-05-15

申请号：US10610494

申请日：2003-06-30

申请人： Lie Gu ,  Li Ziqing ,  Hong-Jiang Zhang

发明人： Lie Gu ,  Li Ziqing ,  Hong-Jiang Zhang

IPC分类号： G06K9/00

CPC分类号： G06K9/00281

摘要： A face model having outer and inner facial features is matched to that of first and second models. Each facial feature of the first and second models is represented by plurality of points that are adjusted for each matching outer and inner facial feature of the first and second models using 1) the corresponding epipolar constraint for the inner features of the first and second models. 2) Local grey-level structure of both outer and inner features of the first and second models. The matching and the adjusting are repeated, for each of the first and second models, until the points for each of the outer and inner facial features on the respective first and second models that are found to match that of the face model have a relative offset there between of not greater than a predetermined convergence tolerance. The inner facial features can include a pair of eyes, a nose and a mouth. The outer facial features can include a pair of eyebrows and a silhouette of the jaw, chin, and cheeks.

摘要翻译： 具有外部和内部面部特征的面部模型与第一和第二模型的面部模型相匹配。 第一和第二模型的每个面部特征由对于第一和第二模型的每个匹配的外部和内部面部特征进行调整的多个点表示，使用1）用于第一和第二模型的内部特征的对应的对极限制。 2）第一和第二模型的外部和内部特征的局部灰度结构。 重复匹配和调整，对于第一和第二模型中的每一个，直到被发现与面部模型相匹配的相应第一和第二模型上的每个外部和内部面部特征的点具有相对偏移量 其间存在不大于预定的会聚容限。 内部的面部特征可以包括一双眼睛，鼻子和嘴巴。 外部面部特征可以包括一对眉毛和下巴，下巴和脸颊的轮廓。

公开(公告)号：US07190829B2

公开(公告)日：2007-03-13

申请号：US10610245

申请日：2003-06-30

申请人： Lei Zhang ,  Mingjing Li ,  Hong-Jiang Zhang

发明人： Lei Zhang ,  Mingjing Li ,  Hong-Jiang Zhang

IPC分类号： G06K9/00

CPC分类号： G06K9/6256 ,  G06K9/00234

摘要： Improved methods and apparatuses are provided for use in face detection. The methods and apparatuses significantly reduce the number of candidate windows within a digital image that need to be processed using more complex and/or time consuming face detection algorithms. The improved methods and apparatuses include a skin color filter and an adaptive non-face skipping scheme.

摘要翻译： 提供改进的方法和装置用于面部检测。 这些方法和装置显着地减少了使用更复杂和/或耗时的面部检测算法需要处理的数字图像内的候选窗口数量。 改进的方法和装置包括皮肤滤色器和自适应非面部跳过方案。

公开(公告)号：US07132595B2

公开(公告)日：2006-11-07

申请号：US11264326

申请日：2005-11-01

申请人： Lie Lu ,  Hong-Jiang Zhang

发明人： Lie Lu ,  Hong-Jiang Zhang

IPC分类号： G10H7/00

CPC分类号： G10H1/40 ,  G10H2210/076 ,  G10H2210/391 ,  G10H2240/325 ,  G10H2250/135 ,  G10H2250/285

摘要： A system that analyzes music to detect musical beats and to rectify beats that are out of sync with the actual beat phase of the music. The music analysis includes onset detection, tempo/meter estimation, and beat analysis, which includes the rectification of out-of-sync beats.

摘要翻译： 一种分析音乐以检测音乐节奏并纠正与音乐的实际节奏不同步的节奏的系统。 音乐分析包括开始检测，速度/仪表估计和拍频分析，其中包括纠错不同步拍摄。