公开(公告)号：US07545985B2

公开(公告)日：2009-06-09

申请号：US11029913

申请日：2005-01-04

申请人： Hong-Jiang Zhang ,  Ming Jing Li ,  Wei-Ying Ma

发明人： Hong-Jiang Zhang ,  Ming Jing Li ,  Wei-Ying Ma

IPC分类号： G06K9/62

CPC分类号： G06T7/0002 ,  G06K9/036

摘要： A method and system for learning-based assessment of the quality of an image is provided. An image quality assessment system trains an image classifier based on a training set of sample images that have quality ratings. To train the classifier, the assessment system generates a feature vector for each sample image representing various attributes of the image. The assessment system may train the classifier using an adaptive boosting technique to calculate a quality score for an image. Once the classifier is trained, the assessment system may calculate the quality of an image by generating a feature vector for that image and applying the trained classifier to the feature vector to calculate the quality score for the image.

摘要翻译： 提供了一种用于基于学习的图像质量评估方法和系统。 图像质量评估系统基于具有质量等级的样本图像的训练集来训练图像分类器。 为了训练分类器，评估系统为表示图像的各种属性的每个样本图像生成特征向量。 评估系统可以使用自适应增强技术训练分类器来计算图像的质量分数。 一旦分类器被训练，评估系统可以通过生成该图像的特征向量来计算图像的质量，并将经训练的分类器应用于特征向量以计算图像的质量得分。

公开(公告)号：US07313185B2

公开(公告)日：2007-12-25

申请号：US10632666

申请日：2003-08-01

申请人： Yu-Fei Ma ,  Gu Xu ,  Hong-Jiang Zhang

发明人： Yu-Fei Ma ,  Gu Xu ,  Hong-Jiang Zhang

IPC分类号： H04N7/12

CPC分类号： G06T7/20 ,  H04N5/145

摘要： Systems and methods for representing sequential motion patterns are described. In one aspect, video frames are converted into a sequence of energy redistribution measurements. One or more motion filters are then applied to the ER measurements to generate one or more temporal sequences of motion patterns, the number of temporal sequences being a function of the number of motion filters.

摘要翻译： 描述用于表示顺序运动模式的系统和方法。 在一个方面，视频帧被转换成能量再分布测量序列。 然后将一个或多个运动滤波器应用于ER测量以产生运动模式的一个或多个时间序列，时间序列的数量是运动滤波器的数量的函数。

公开(公告)号：US07212666B2

公开(公告)日：2007-05-01

申请号：US10405971

申请日：2003-04-01

申请人： Dong Zhang ,  Yijin Wang ,  Hong-Jiang Zhang

发明人： Dong Zhang ,  Yijin Wang ,  Hong-Jiang Zhang

IPC分类号： G06K9/00

CPC分类号： G06K9/00711 ,  G06F17/30843 ,  G06K9/6255 ,  G11B27/102 ,  G11B27/28

摘要： An algorithm identifies a salient video frame from a video sequence for use as a video thumbnail. The identification of a video thumbnail is based on a frame goodness measure. The algorithm calculates a color histogram of a frame, and then calculates the entropy and standard deviation of the color histogram. The frame goodness measure is a weighted combination of the entropy and the standard deviation. A video frame having the highest value of frame goodness measure for a video sequence is determined as the video thumbnail for a video sequence.

摘要翻译： 算法从视频序列中识别显着的视频帧，以用作视频缩略图。 视频缩略图的识别基于帧良品度量。 该算法计算一个帧的颜色直方图，然后计算颜色直方图的熵和标准偏差。 框架良好度量是熵和标准偏差的加权组合。 确定视频序列具有最高的帧质量度量值的视频帧作为视频序列的视频缩略图。

公开(公告)号：US20060248044A1

公开(公告)日：2006-11-02

申请号：US11458057

申请日：2006-07-17

申请人： Hong-Jiang Zhang ,  Zhong Su ,  Xingquan Zhu

发明人： Hong-Jiang Zhang ,  Zhong Su ,  Xingquan Zhu

IPC分类号： G06F17/30

CPC分类号： G06F17/30256 ,  G06K9/6215 ,  G06K9/6253 ,  G06K9/6263 ,  G06K9/6278 ,  Y10S707/99931 ,  Y10S707/99932 ,  Y10S707/99933 ,  Y10S707/99934 ,  Y10S707/99935 ,  Y10S707/99936 ,  Y10S707/99943 ,  Y10S707/99945 ,  Y10S707/99948

摘要： An implementation of a technology, described herein, for relevance-feedback, content-based image retrieval minimizes the number of iterations for user feedback regarding the semantic relevance of exemplary images while maximizing the resulting relevance of each iteration. One technique for accomplishing this is to use a Bayesian classifier to treat positive and negative feedback examples with different strategies. In addition, query refinement techniques are applied to pinpoint the users' intended queries with respect to their feedbacks. These techniques further enhance the accuracy and usability of relevance feedback. This abstract itself is not intended to limit the scope of this patent. The scope of the present invention is pointed out in the appending claims.

摘要翻译： 这里描述的用于相关性反馈的基于内容的图像检索的技术的实现使得关于示例性图像的语义相关性的用户反馈的迭代次数最小化，同时最大化每次迭代的结果相关性。 实现这一点的一种技术是使用贝叶斯分类器来处理具有不同策略的正反馈示例。 另外，使用查询优化技术来针对用户对其反馈的预期查询进行定位。 这些技术进一步提高了相关性反馈的准确性和可用性。 本摘要本身并不旨在限制本专利的范围。 在所附权利要求中指出了本发明的范围。

公开(公告)号：US07127087B2

公开(公告)日：2006-10-24

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 ,  G06K9/62

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.

公开(公告)号：US07115808B2

公开(公告)日：2006-10-03

申请号：US11265685

申请日：2005-11-02

申请人： Lie Lu ,  Hong-Jiang Zhang

发明人： Lie Lu ,  Hong-Jiang Zhang

IPC分类号： G10H1/40 ,  G10H7/00 ,  G06F17/00

CPC分类号： G10H1/00 ,  G10H2210/071 ,  G10H2240/085

摘要： A system and methods use music features extracted from music to detect a music mood within a hierarchical mood detection framework. A two-dimensional mood model divides music into four moods which include contentment, depression, exuberance, and anxious/frantic. A mood detection algorithm uses a hierarchical mood detection framework to determine which of the four moods is associated with a music clip based on the extracted features. In a first tier of the hierarchical detection process, the algorithm determines one of two mood groups to which the music clip belongs. In a second tier of the hierarchical detection process, the algorithm then determines which mood from within the selected mood group is the appropriate, exact mood for the music clip. Benefits of the mood detection system include automatic detection of music mood which can be used as music metadata to manage music through music representation and classification.

摘要翻译： 系统和方法使用从音乐中提取的音乐特征来检测分层情绪检测框架内的音乐心情。 二维情绪模型将音乐分为四种情绪，包括满足感，抑郁症，繁荣感和焦虑/疯狂。 情绪检测算法使用分级情绪检测框架来基于提取的特征来确定四种情绪中的哪一种与音乐剪辑相关联。 在层次检测过程的第一层中，算法确定音乐剪辑所属的两个心情组之一。 在层次检测过程的第二层中，算法然后确定来自所选择的心情组中的哪个心情是音乐剪辑的适当的精确心情。 情绪检测系统的优点包括自动检测音乐心情，可用作音乐元数据，通过音乐表示和分类来管理音乐。

公开(公告)号：US07099860B1

公开(公告)日：2006-08-29

申请号：US09702292

申请日：2000-10-30

申请人： Wen-Yin Liu ,  Hong-Jiang Zhang ,  Ye Lu

发明人： Wen-Yin Liu ,  Hong-Jiang Zhang ,  Ye Lu

IPC分类号： G06F17/30

CPC分类号： G06F17/30265 ,  G06F17/30256 ,  G06F19/00 ,  Y10S707/99933 ,  Y10S707/99934 ,  Y10S707/99935

摘要： An image retrieval system performs both keyword-based and content-based image retrieval. A user interface allows a user to specify queries using a combination of keywords and examples images. Depending on the input query, the image retrieval system finds images with keywords that match the keywords in the query and/or images with similar low-level features, such as color, texture, and shape. The system ranks the images and returns them to the user. The user interface allows the user to identify images that are more relevant to the query, as well as images that are less or not relevant to the query. The user may alternatively elect to refine the search by selecting one example image from the result set and submitting its low-level features in a new query. The image retrieval system monitors the user feedback and uses it to refine any search efforts and to train itself for future search queries. In the described implementation, the image retrieval system seamlessly integrates feature-based relevance feedback and semantic-based relevance feedback.

公开(公告)号：US07026536B2

公开(公告)日：2006-04-11

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： 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。

公开(公告)号：US20050211071A1

公开(公告)日：2005-09-29

申请号：US10811281

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： G10H1/00 ,  G10H1/40 ,  G10H7/00

CPC分类号： G10H1/00 ,  G10H2210/071 ,  G10H2240/085

摘要： A system and methods use music features extracted from music to detect a music mood within a hierarchical mood detection framework. A two-dimensional mood model divides music into four moods which include contentment, depression, exuberance, and anxious/frantic. A mood detection algorithm uses a hierarchical mood detection framework to determine which of the four moods is associated with a music clip based on the extracted features. In a first tier of the hierarchical detection process, the algorithm determines one of two mood groups to which the music clip belongs. In a second tier of the hierarchical detection process, the algorithm then determines which mood from within the selected mood group is the appropriate, exact mood for the music clip. Benefits of the mood detection system include automatic detection of music mood which can be used as music metadata to manage music through music representation and classification.

摘要翻译： 系统和方法使用从音乐中提取的音乐特征来检测分层情绪检测框架内的音乐心情。 二维情绪模型将音乐分为四种情绪，包括满足感，抑郁症，繁荣感和焦虑/疯狂。 情绪检测算法使用分级情绪检测框架来基于提取的特征来确定四种情绪中的哪一种与音乐剪辑相关联。 在层次检测过程的第一层中，算法确定音乐剪辑所属的两个心情组之一。 在层次检测过程的第二层中，算法然后确定来自所选择的心情组中的哪个心情是音乐剪辑的适当的精确心情。 情绪检测系统的优点包括自动检测音乐心情，可用作音乐元数据，通过音乐表示和分类来管理音乐。

公开(公告)号：US06915025B2

公开(公告)日：2005-07-05

申请号：US09995431

申请日：2001-11-27

申请人： Yongmei Wang ,  Hong-Jiang Zhang

发明人： Yongmei Wang ,  Hong-Jiang Zhang

IPC分类号： G06K9/64 ,  G06T7/00 ,  H04N1/00 ,  G06K9/36

CPC分类号： H04N1/00002 ,  G06K9/00248 ,  G06K9/3208 ,  G06K9/4642 ,  G06K9/6203 ,  G06T7/73 ,  H04N1/00005 ,  H04N1/00034 ,  H04N1/00042 ,  H04N1/00082 ,  H04N1/0009 ,  H04N1/00092 ,  H04N1/00718 ,  H04N1/00721 ,  H04N1/00774

摘要： The described arrangements and procedures identify an image's orientation by extracting features from peripheral portions of the image. The procedure evaluates the extracted features based on training image feature orientation classification models to identify the image's orientation.

摘要翻译： 所描述的布置和过程通过从图像的周边部分提取特征来识别图像的取向。 该过程基于训练图像特征方向分类模型来评估提取的特征以识别图像的取向。