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71. 发明申请

US20060026524A1 Systems and methods for smart media content thumbnail extraction 有权
标题翻译：智能媒体内容缩略图提取的系统和方法
公开(公告)号：US20060026524A1
公开(公告)日：2006-02-02
申请号：US10910803
申请日：2004-08-02
申请人： Yu-Fei Ma , Bin Lin , Zhike Kong , Xinli Zou , Wei-Ying Ma , Hong-Jiang Zhang
发明人： Yu-Fei Ma , Bin Lin , Zhike Kong , Xinli Zou , Wei-Ying Ma , Hong-Jiang Zhang
IPC分类号： G06F17/21 , G06F17/24 , G06F17/00 , G06F3/00 , G06F15/00 , G06F9/00
CPC分类号： G11B27/28 , G06F17/30793 , G06F17/30802 , G06F17/30849 , G06K9/00711 , G11B27/10
摘要： Systems and methods for smart media content thumbnail extraction are described. In one aspect program metadata is generated from recorded video content. The program metadata includes one or more key-frames from one or more corresponding shots. An objectively representative key-frame is identified from among the key-frames as a function of shot duration and frequency of appearance of key-frame content across multiple shots. The objectively representative key-frame is an image frame representative of the recorded video content. A thumbnail is created from the objectively representative key-frame.
摘要翻译：描述了用于智能媒体内容缩略图提取的系统和方法。在一个方面，节目元数据是从记录的视频内容生成的。程序元数据包括来自一个或多个相应镜头的一个或多个关键帧。从关键帧中识别出客观上代表性的关键帧作为多个镜头中的关键帧内容的拍摄持续时间和出现频率的函数。客观代表的关键帧是表示记录的视频内容的图像帧。从客观代表的关键帧创建缩略图。

72. 发明授权

US06965645B2 Content-based characterization of video frame sequences 有权
公开(公告)号：US06965645B2
公开(公告)日：2005-11-15
申请号：US09963164
申请日：2001-09-25
申请人： Hong-Jiang Zhang , Yufei Ma
发明人： Hong-Jiang Zhang , Yufei Ma
IPC分类号： G06K9/00 , G06T7/20 , H04N5/14 , H04N7/36 , 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.

73. 发明申请

US20050211072A1 Beat analysis of musical signals 失效
标题翻译：节奏分析音乐信号
公开(公告)号：US20050211072A1
公开(公告)日：2005-09-29
申请号：US10811287
申请日：2004-03-25
申请人： Lie Lu , Hong-Jiang Zhang
发明人： Lie Lu , Hong-Jiang Zhang
IPC分类号： G10H1/40 , G10H7/00
CPC分类号： G10H1/40 , G10H2210/076 , G10H2210/391 , G10H2240/325 , G10H2250/135 , G10H2250/285
摘要： A system and methods analyze 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：系统和方法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。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。

74. 发明申请

US20050147292A1 Pose-invariant face recognition system and process 有权
公开(公告)号：US20050147292A1
公开(公告)日：2005-07-07
申请号：US10983194
申请日：2004-11-05
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 , G06K9/68
CPC分类号： G06K9/00228 , G06K9/00288 , G06K9/6292
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 persons 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.

75. 发明申请

US20050147170A1 Content-based characterization of video frame sequences 有权
标题翻译：基于内容的视频帧序列表征
公开(公告)号：US20050147170A1
公开(公告)日：2005-07-07
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： G06K9/00 , G06T7/20 , H04N5/14 , H04N7/36 , H04N7/12
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。

76. 发明申请

US20050069206A1 Contrast-based image attention analysis framework 有权
标题翻译：基于对比的图像注意分析框架
公开(公告)号：US20050069206A1
公开(公告)日：2005-03-31
申请号：US10676519
申请日：2003-09-30
申请人： Yu-Fei Ma , Hong-Jiang Zhang
发明人： Yu-Fei Ma , Hong-Jiang Zhang
IPC分类号： G06K9/00 , G06K9/32 , G06K9/46
CPC分类号： G06K9/3233
摘要： Systems and methods for image attention analysis are described. In one aspect, image attention is modeled by preprocessing an image to generate a quantized set of image blocks. A contrast-based saliency map for modeling one-to-three levels of image attention is then generated from the quantized image blocks.
摘要翻译：描述了用于图像注意分析的系统和方法。在一个方面，通过对图像进行预处理以生成量化的图像块集来建模图像。然后从量化的图像块生成用于建模一到三级的图像注意的基于对比度的显着图。

77. 发明申请

US20050031038A1 Content-based characterization of video frame sequences 有权
公开(公告)号：US20050031038A1
公开(公告)日：2005-02-10
申请号：US10934888
申请日：2004-09-02
申请人： Hong-Jiang Zhang , Yufei Ma
发明人： Hong-Jiang Zhang , Yufei Ma
IPC分类号： G06K9/00 , G06T7/20 , H04N5/14 , H04N7/36 , H04N7/12
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.

78. 发明授权

US06671391B1 Pose-adaptive face detection system and process 有权
标题翻译：姿态自适应人脸检测系统和过程
公开(公告)号：US06671391B1
公开(公告)日：2003-12-30
申请号：US09580395
申请日：2000-05-26
申请人： Hong-Jiang Zhang , Ma Yong
发明人： Hong-Jiang Zhang , Ma Yong
IPC分类号： G06K900
CPC分类号： G06K9/00228
摘要： A face detection system and process capable of detecting a person depicted in an input image and identifying their face pose. Prepared training images are used to train a 2-stage classifier which includes a bank of Support Vector Machines (SVMs) as an initial pre-classifier layer, and a neural network forming a subsequent decision classifier layer. Once the SVMs and the neural network are trained, input image regions are prepared and input into the system. An output is produced from the neural network which indicates first whether the region under consideration depicts a face, and secondly, if a face is present, into what pose range the pose of the face falls.
摘要翻译：一种能够检测输入图像中描绘的人物并识别其脸部姿势的人脸检测系统和处理。准备的训练图像用于训练包括一组支持向量机（SVM）作为初始预分类器层的2阶分类器，以及形成后续决策分类器层的神经网络。一旦SVM和神经网络被训练，输入图像区域被准备并输入到系统中。从神经网络产生输出，其首先指示正在考虑的区域是否表示脸部，其次，如果脸部存在，则脸部姿势落入到什么姿势范围内。

79. 发明授权

US08175847B2 Tag ranking 有权
标题翻译：标签排名
公开(公告)号：US08175847B2
公开(公告)日：2012-05-08
申请号：US12415722
申请日：2009-03-31
申请人： Hong-Jiang Zhang , Dong Liu , Meng Wang , Linjun Yang , Xian-Sheng Hua
发明人： Hong-Jiang Zhang , Dong Liu , Meng Wang , Linjun Yang , Xian-Sheng Hua
IPC分类号： G06F17/18
CPC分类号： G06F17/30038
摘要： Technologies for generating a boosted tag ranking for a media instance, the boosted tag ranking based on probabilistic relevance estimation computed by a probabilistic relevance estimator and tag correlation refining performed by a tag correlation refiner. Such boosted tag rankings may be used for search result ranking, tag recommendation, and group recommendation.
摘要翻译：用于生成用于媒体实例的提升的标签排名的技术，基于由概率相关性估计器计算的概率相关性估计的增强的标签排名以及由标签相关性精炼器执行的标签相关性精炼。这种提升的标签排名可以用于搜索结果排名，标签推荐和组推荐。

80. 发明授权

US08144769B2 Streaming methods and systems 有权
标题翻译：串流方法和系统
公开(公告)号：US08144769B2
公开(公告)日：2012-03-27
申请号：US12356031
申请日：2009-01-19
申请人： Tianming Liu , Hong-Jiang Zhang , Wei Qi
发明人： Tianming Liu , Hong-Jiang Zhang , Wei Qi
IPC分类号： H04N7/12 , H04N11/02 , H04N11/04 , H04B1/66
CPC分类号： H04L65/80 , H04L29/06027 , H04L65/602 , H04L65/607 , H04N19/132 , H04N19/137 , H04N19/152 , H04N19/159 , H04N19/172 , H04N19/34 , H04N19/587 , H04N19/61 , H04N19/87 , H04N21/234327 , H04N21/2401 , H04N21/2402 , H04N21/2662 , H04N21/6373
摘要： Various embodiments provide methods and systems for streaming data that can facilitate streaming during bandwidth fluctuations in a manner that can enhance the user experience. In one aspect, a forward-shifting technique is utilized to buffer data that is to be streamed, e.g. an enhancement layer in a FGS stream. Various techniques can drop layers actively when bandwidth is constant. The saved bandwidth can then be used to pre-stream enhancement layer portions. In another aspect, a content-aware decision can be made as to how to drop enhancement layers when bandwidth decreases. During periods of decreasing bandwidth, if a video segment does not contain important content, the enhancement layers will be dropped to keep the forward-shifting of the enhancement layer unchanged. If the enhancement layer does contain important content, it will be transmitted later when bandwidth increases.
摘要翻译：各种实施例提供用于流式传输数据的方法和系统，其可以以可以增强用户体验的方式促进带宽波动期间的流传输。在一个方面，使用前向移位技术来缓冲要流式传输的数据。 FGS流中的增强层。当带宽恒定时，各种技术可以主动降层。然后可以使用保存的带宽来预先加密增强层部分。在另一方面，可以做出关于当带宽减小时如何降低增强层的内容感知决定。在带宽减小期间，如果视频段不包含重要内容，则增强层将被丢弃，以保持增强层的前向移动不变。如果增强层确实包含重要内容，则当带宽增加时，将会传输。

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