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91. 发明授权

US06944319B1 Pose-invariant face recognition system and process 有权
标题翻译：姿态不变的人脸识别系统和过程
公开(公告)号：US06944319B1
公开(公告)日：2005-09-13
申请号：US09536820
申请日：2000-03-27
申请人： Fu Jie Huang , Hong-Jiang Zhang , Tsuhan Chen
发明人： Fu Jie Huang , Hong-Jiang Zhang , Tsuhan Chen
IPC分类号： G06K9/00 , G06K9/62 , G06K9/68
CPC分类号： G06K9/6282 , G06K9/00288
摘要： A face recognition system and process for identifying a person depicted in an input image and their face pose. This system and process entails locating and extracting face regions belonging to known people from a set of model images, and determining the face pose for each of the face regions extracted. All the extracted face regions are preprocessed by normalizing, cropping, categorizing and finally abstracting them. More specifically, the images are normalized and cropped to show only a person's face, categorized according to the face pose of the depicted person's face by assigning them to one of a series of face pose ranges, and abstracted preferably via an eigenface approach. The preprocessed face images are preferably used to train a neural network ensemble having a first stage made up of a bank of face recognition neural networks each of which is dedicated to a particular pose range, and a second stage constituting a single fusing neural network that is used to combine the outputs from each of the first stage neural networks. Once trained, the input of a face region which has been extracted from an input image and preprocessed (i.e., normalized, cropped and abstracted) will cause just one of the output units of the fusing portion of the neural network ensemble to become active. The active output unit indicates either the identify of the person whose face was extracted from the input image and the associated face pose, or that the identity of the person is unknown to the system.
摘要翻译：用于识别输入图像中描绘的人物及其脸部姿势的面部识别系统和过程。该系统和处理需要从一组模型图像中定位和提取属于已知人的面部区域，并且确定提取的每个面部区域的面部姿势。所有提取的面部区域通过归一化，裁剪，分类和最终抽象来进行预处理。更具体地，图像被归一化并且被裁剪以仅显示人脸，根据所描绘的人脸的脸部姿态将其分配给一系列面部姿态范围中的一个，并优选地通过本征面方法进行抽象。预处理的脸部图像优选地用于训练具有由一组专用于特定姿势范围的面部识别神经网络组成的第一阶段的神经网络集合，以及构成单个融合神经网络的第二阶段，用于组合来自每个第一级神经网络的输出。一旦被训练，已经从输入图像提取并且被预处理（即，归一化，裁剪和抽取）的面部区域的输入将仅导致神经网络集合的融合部分的输出单元中的一个变得活动。活动输出单元指示从输入图像中提取脸部的人的身份以及相关联的面部姿势，或者该人的身份对于系统是未知的。

92. 发明申请

US20050165763A1 Statistical bigram correlation model for image retrieval 有权
公开(公告)号：US20050165763A1
公开(公告)日：2005-07-28
申请号：US11056555
申请日：2005-02-11
申请人： Mingjing Li , Zheng Chen , Liu Wenyin , Hong-Jiang Zhang
发明人： Mingjing Li , Zheng Chen , Liu Wenyin , Hong-Jiang Zhang
IPC分类号： G06F17/30 , G06F7/00
CPC分类号： G06F17/30247 , Y10S707/99933 , Y10S707/99935 , Y10S707/99936 , Y10S707/99945 , Y10S707/99948
摘要： The disclosed subject matter improves iterative results of content-based image retrieval (CBIR) using a bigram model to correlate relevance feedback. Specifically, multiple images are received responsive to multiple image search sessions. Relevance feedback is used to determine whether the received images are semantically relevant. A respective semantic correlation between each of at least one pair of the images is then estimated using respective bigram frequencies. The bigram frequencies are based on multiple search sessions in which each image of a pair of images is semantically relevant.

93. 发明申请

US20050154743A1 Methods and systems for adaptive delivery of multimedia contents 有权
公开(公告)号：US20050154743A1
公开(公告)日：2005-07-14
申请号：US11025255
申请日：2004-12-29
申请人： Yudong Yang , Hong-Jiang Zhang
发明人： Yudong Yang , Hong-Jiang Zhang
IPC分类号： H04L29/06 , H04L29/08 , G06F17/00 , G06F15/16
CPC分类号： H04L65/4084 , H04L29/06 , H04L29/06027 , H04L65/80 , H04L67/2823 , H04L67/2828 , H04L69/329
摘要： Methods and systems for generic adaptive multimedia content delivery are described. In one embodiment, a novel framework features an abstract content model and an abstract adaptive delivery decision engine. The abstract content model recognizes important aspects of contents while hiding their physical details from other parts of the framework. The decision engine then makes content adaptation plans based on the abstracted model of the contents and needs little knowledge of any physical details of the actual contents. Thus, under the same framework, adaptive delivery of generic contents is possible.

94. 发明授权

US06901411B2 Statistical bigram correlation model for image retrieval 失效
标题翻译：图像检索统计二值相关模型
公开(公告)号：US06901411B2
公开(公告)日：2005-05-31
申请号：US10074941
申请日：2002-02-11
申请人： Mingjing Li , Zheng Chen , Liu Wenyin , Hong-Jiang Zhang
发明人： Mingjing Li , Zheng Chen , Liu Wenyin , Hong-Jiang Zhang
IPC分类号： G06F17/30
CPC分类号： G06F17/30247 , Y10S707/99933 , Y10S707/99935 , Y10S707/99936 , Y10S707/99945 , Y10S707/99948
摘要： The disclosed subject matter improves iterative results of content-based image retrieval (CBIR) using a bigram model to correlate relevance feedback. Specifically, multiple images are received responsive to multiple image search sessions. Relevance feedback is used to determine whether the received images are semantically relevant. A respective semantic correlation between each of at least one pair of the images is then estimated using respective bigram frequencies. The bigram frequencies are based on multiple search sessions in which each image of a pair of images is semantically relevant.
摘要翻译：所公开的主题改进了基于内容的图像检索（CBIR）的迭代结果，其使用二元模型来相关联反馈。具体地，响应于多个图像搜索会话接收多个图像。相关性反馈用于确定接收的图像是否具有语义相关性。然后使用相应的二进制频率来估计至少一对图像中的每一个之间的相应语义相关性。双频频率基于多个搜索会话，其中一对图像的每个图像在语义上相关。

95. 发明申请

US20050084136A1 Automatic browsing path generation to present image areas with high attention value as a function of space and time 有权
标题翻译：自动浏览路径生成，以高度的注意力来呈现作为空间和时间的函数的图像区域
公开(公告)号：US20050084136A1
公开(公告)日：2005-04-21
申请号：US10688471
申请日：2003-10-16
申请人： Xing Xie , Wei-Ying Ma , Hong-Jiang Zhang , Liu Hao
发明人： Xing Xie , Wei-Ying Ma , Hong-Jiang Zhang , Liu Hao
IPC分类号： G06F17/30 , G06K9/00
CPC分类号： G06F17/30905
摘要： Systems and methods for automatic generation of a browsing path across image content to present areas with high attention value are described. In particular, an image is modeled via multiple visual attentions to create a respective set of attention objects for each modeled attention. The attention objects and their respective attributes are analyzed to generate a browsing path to select ones of the attention objects. The browsing path is generated to optimize the rate of information gain from the attention objects as a function of information unit cost in terms of time constraints associated with multiple image browsing modes.
摘要翻译：描述了跨越图像内容自动生成浏览路径以呈现具有高注意力值的区域的系统和方法。特别地，通过多个视觉注意来建模图像，以为每个建模的注意创建相应的一组关注对象。分析注意对象及其各自的属性，生成浏览路径以选择注意对象。生成浏览路径以根据与多个图像浏览模式相关联的时间约束来优化来自注意对象的信息增益的速率作为信息单元成本的函数。

96. 发明授权

US06881889B2 Generating a music snippet 有权
标题翻译：生成音乐片段
公开(公告)号：US06881889B2
公开(公告)日：2005-04-19
申请号：US10861286
申请日：2004-06-03
申请人： Lie Lu , Hong-Jiang Zhang , Po Yuan
发明人： Lie Lu , Hong-Jiang Zhang , Po Yuan
IPC分类号： A63H5/00 , G01H7/00 , G04B13/00 , G10H1/00 , G10H7/00
CPC分类号： G10H1/00 , G10H2210/061
摘要： Systems and methods for extracting a music snippet from a music stream are described. In one aspect, one or more music sentences are extracted from the music stream. The one or more sentences are extracted as a function of peaks and valleys of acoustic energy across sequential music stream portions. The music snippet is selected based on the one or more music sentences.
摘要翻译：描述从音乐流中提取音乐片段的系统和方法。在一个方面，从音乐流中提取一个或多个音乐句子。一个或多个句子作为跨顺序音乐流部分的声能的峰值和谷值的函数被提取。基于一个或多个音乐句子来选择音乐片段。

97. 发明申请

US20050058340A1 Red-eye detection based on red region detection with eye confirmation 有权
标题翻译：基于红色区域检测的眼睛检测与眼睛确认
公开(公告)号：US20050058340A1
公开(公告)日：2005-03-17
申请号：US10958136
申请日：2004-10-04
申请人： Tong-Xian Chen , Xiangrong Chen , John Platt , Jie Yan , Hong-Jiang Zhang
发明人： Tong-Xian Chen , Xiangrong Chen , John Platt , Jie Yan , Hong-Jiang Zhang
IPC分类号： G06K9/00 , G06T5/00 , G06T7/00 , H04N1/62 , G06K9/40 , H04N5/14
CPC分类号： G06K9/0061 , G06T7/0002 , G06T7/70 , G06T7/90 , G06T2207/30216 , H04N1/624
摘要： Red-eye detection based on red region detection with eye confirmation initially identifies pixels that correspond to the color of red-eye within an image. A determination is then made as to whether these identified pixels and surrounding areas are part of an eye or not part of an eye. Those identified pixels that are determined to be part of an eye are the detected red-eye regions.
摘要翻译：基于具有眼睛确认的红色区域检测的红眼检测首先识别与图像内的红眼的颜色相对应的像素。然后确定这些识别的像素和周围区域是眼睛的一部分还是不是眼睛的一部分。确定为眼睛的一部分的那些识别的像素是检测到的红眼区域。

98. 发明申请

US20050036690A1 Unified bayesian framework for shape registration 失效
标题翻译：用于形状注册的统一的贝叶斯框架
公开(公告)号：US20050036690A1
公开(公告)日：2005-02-17
申请号：US10641608
申请日：2003-08-15
申请人： Yi Zhou , Lie Gu , Lei Zhang , Mingjing Li , Hong-Jiang Zhang
发明人： Yi Zhou , Lie Gu , Lei Zhang , Mingjing Li , Hong-Jiang Zhang
IPC分类号： G06K9/00 , G06K9/32 , G06K9/46 , G06K9/64
CPC分类号： G06K9/00281 , G06K9/621
摘要： Systems and methods for shape registration are described. In one aspect, training shape vectors are generated from images in an image database. The training shape vectors identify landmark points associated with one or more object types. A distribution of shape in the training shape vectors is represented as a prior of tangent shape in tangent shape space. The prior of tangent shape is then incorporated into a unified Bayesian framework for shape registration.
摘要翻译：描述了用于形状配准的系统和方法。在一个方面，训练形状向量是从图像数据库中的图像生成的。训练形状向量识别与一个或多个对象类型相关联的地标点。训练形状矢量中的形状分布被表示为切线形状空间中的切线形状之前。之前的切线形状然后被并入到用于形状注册的统一的贝叶斯框架中。

99. 发明授权

US08086031B2 Region detection 有权
标题翻译：区域检测
公开(公告)号：US08086031B2
公开(公告)日：2011-12-27
申请号：US12465461
申请日：2009-05-13
申请人： Tong-Xian Chen , Xiangrong Chen , John C. Platt , Jie Yan , Hong-Jiang Zhang
发明人： Tong-Xian Chen , Xiangrong Chen , John C. Platt , Jie Yan , Hong-Jiang Zhang
IPC分类号： G06K9/00
CPC分类号： G06K9/0061 , G06T7/0002 , G06T7/70 , G06T7/90 , G06T2207/30216 , H04N1/624
摘要： Disclosed herein are systems methods and devices related to region detection of an image. Detected regions include pixels of a particular one or more colors without requiring faces within the image to be previously detected. Region detection may include receiving information that a flash was used to capture the image or that return light was detected in the image.
摘要翻译：本文公开了与图像的区域检测有关的系统方法和装置。检测区域包括特定一种或多种颜色的像素，而不需要先前检测到图像内的面部。区域检测可以包括接收闪光灯用于捕获图像或者在图像中检测到返回光的信息。

100. 发明授权

US07844086B2 Head pose assessment methods and systems 有权
标题翻译：头姿势评估方法和系统
公开(公告)号：US07844086B2
公开(公告)日：2010-11-30
申请号：US12143717
申请日：2008-06-20
申请人： Yuxiao Hu , Lei Zhang , Mingjing Li , Hong-Jiang Zhang
发明人： Yuxiao Hu , Lei Zhang , Mingjing Li , Hong-Jiang Zhang
IPC分类号： G06K9/00
CPC分类号： G06F3/012 , G06K9/00268 , G06K9/6211 , G06T7/73 , G06T2207/30201
摘要： Improvements are provided to effectively assess a user's face and head pose such that a computer or like device can track the user's attention towards a display device(s). Then the region of the display or graphical user interface that the user is turned towards can be automatically selected without requiring the user to provide further inputs. A frontal face detector is applied to detect the user's frontal face and then key facial points such as left/right eye center, left/right mouth corner, nose tip, etc., are detected by component detectors. The system then tracks the user's head by an image tracker and determines yaw, tilt and roll angle and other pose information of the user's head through a coarse to fine process according to key facial points and/or confidence outputs by pose estimator.
摘要翻译：提供了改进以有效地评估用户的脸部和头部姿势，使得计算机或类似装置可以跟踪用户对显示装置的注意。然后可以自动选择用户转向的显示或图形用户界面的区域，而不需要用户提供进一步的输入。应用前置面部检测器来检测使用者的正面，然后通过部件检测器检测左右眼中心，左/右口角，鼻尖等的关键面部点。然后，系统通过图像跟踪器跟踪用户的头部，并且通过姿态估计器根据关键面部点和/或置信输出，通过粗略到精细处理确定用户头部的偏航，倾斜和滚动角度和其他姿态信息。

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