公开(公告)号：US07333654B2

公开(公告)日：2008-02-19

申请号：US11316096

申请日：2005-12-22

申请人： Jiebo Luo ,  Robert T. Gray

发明人： Jiebo Luo ,  Robert T. Gray

IPC分类号： G06K9/00

CPC分类号： G06T11/60 ,  G06T7/11 ,  G06T11/001 ,  G06T2207/30201

摘要： A system and method for automatically altering an image having pixels is disclosed. An image is segmented into regions and various features of the regions are extracted and used to calculate a confidence factor, or belief value, that a particular region is a main subject of the image. The belief values are assembled into a belief map that is used to define how pixel values are to be altered. Various color and appearance values of the pixel are altered in a predetermined way to emphasize the main subject of the image. The emphasis is applied in a binary fashion or as in a gradient of values. Either the main subject can be emphasized, or the secondary or background subjects can be de-emphasized. The system can be implement on a variety of computer systems.

摘要翻译： 公开了一种用于自动改变具有像素的图像的系统和方法。 将图像分割成区域，并且提取区域的各种特征并用于计算特定区域是图像的主要对象的置信因子或置信度值。 信念值被组合成用于定义如何改变像素值的信念图。 以预定的方式改变像素的各种颜色和外观值以强调图像的主要对象。 强调以二进制方式应用，或以值的梯度来应用。 可以强调主要主题，或者可以不再强调次要或背景科目。 该系统可以在各种计算机系统上实现。

公开(公告)号：US20070237421A1

公开(公告)日：2007-10-11

申请号：US11392455

申请日：2006-03-29

申请人： Jiebo Luo ,  Phoury Lei

发明人： Jiebo Luo ,  Phoury Lei

IPC分类号： G06K9/36 ,  G06K9/32 ,  G06K9/46 ,  G06K9/40

CPC分类号： G06T11/60 ,  G06K9/00248

摘要： A method for replacing a face in a first digital image with a face from a second digital image including automatically detecting one or more faces in the first digital image; identifying at least one target face from the detected faces that needs to be replaced; automatically detecting one or more faces in the second digital image; identifying at least one source face from the second image detected faces for replacing the target face; using features from the target and source faces to perform facial geometry and appearance corrections to the source face; and replacing the target face with the corrected source face and blending the corrected source face into the first digital image.

摘要翻译： 一种用于从包括自动检测第一数字图像中的一个或多个面部的第二数字图像的面部替换第一数字图像中的面部的方法; 从需要更换的检测到的面识别至少一个目标面; 自动检测第二数字图像中的一个或多个面; 从所述第二图像识别出至少一个源表面，用于替换所述目标面; 使用来自目标和源面的特征来对源面执行面部几何和外观校正; 并用修正的源面代替目标面，并将校正的源面混合到第一数字图像中。

公开(公告)号：US20070237225A1

公开(公告)日：2007-10-11

申请号：US11393025

申请日：2006-03-30

申请人： Jiebo Luo ,  Majid Rabbani

发明人： Jiebo Luo ,  Majid Rabbani

IPC分类号： H04N7/12 ,  H04N5/14

CPC分类号： G11B27/034 ,  G06F16/739 ,  G06F16/786 ,  G06K9/00711 ,  G11B27/28 ,  H04N19/137 ,  H04N19/172 ,  H04N19/46 ,  H04N19/467 ,  H04N19/527

摘要： A method of producing a video thumbnail for previewing a video file representing a digital video in a file browser includes extracting a plurality of key frames from the video file; producing a video thumbnail using an encoded representation of the extracted key frames; and displaying the video thumbnail through the file browser.

摘要翻译： 一种产生用于在文件浏览器中预览表示数字视频的视频文件的视频缩略图的方法包括从视频文件中提取多个关键帧; 使用所提取的关键帧的编码表示产生视频缩略图; 并通过文件浏览器显示视频缩略图。

公开(公告)号：US07215828B2

公开(公告)日：2007-05-08

申请号：US10075004

申请日：2002-02-13

申请人： Jiebo Luo

发明人： Jiebo Luo

IPC分类号： G06K9/32 ,  G06K9/36

CPC分类号： G06K9/00664 ,  G06K9/3208 ,  G06T7/74

摘要： A method for determining the orientation of a digital image, includes the steps of: employing a semantic object detection method to detect the presence and orientation of a semantic object; employing a scene layout detection method to detect the orientation of a scene layout; and employing an arbitration method to produce an estimate of the image orientation from the orientation of the detected semantic object and the detected orientation of the scene layout.

摘要翻译： 一种用于确定数字图像的取向的方法，包括以下步骤：采用语义对象检测方法来检测语义对象的存在和取向; 采用场景布局检测方法来检测场景布局的方位; 并且采用仲裁方法从所检测到的语义对象的方向和所检测到的场景布局的方向产生图像取向的估计。

公开(公告)号：US20060120608A1

公开(公告)日：2006-06-08

申请号：US10994794

申请日：2004-11-22

申请人： Jiebo Luo ,  Zhimin Huo ,  Wei Hao

发明人： Jiebo Luo ,  Zhimin Huo ,  Wei Hao

IPC分类号： G06K9/62

CPC分类号： A61B8/0825 ,  A61B8/085 ,  G06F19/00 ,  G06T7/0012 ,  G06T7/11 ,  G06T2207/10132 ,  G06T2207/30068 ,  Y10S128/922

摘要： A method for determining a candidate lesion region within an ultrasound image. The method includes the steps of: accessing a digital ultrasound image of anatomical tissue; segmenting spatially contiguous pixels in the ultrasound image into a plurality of regions in accordance with substantially similar intensity values and spatial smoothness constraints; and selecting, from the plurality of regions, one or more candidate lesion regions having an intensity value lower than a pre-determined intensity value. In one arrangement, the one or more candidate lesion region is classified into at least one of the following classes: benign, malignant, or unknown.

摘要翻译： 一种用于确定超声图像内的候选病变区域的方法。 该方法包括以下步骤：访问解剖组织的数字超声图像; 根据基本相似的强度值和空间平滑度约束将超声图像中的空间连续像素分割成多个区域; 以及从所述多个区域中选择具有低于预定强度值的强度值的一个或多个候选病变区域。 在一种布置中，一个或多个候选病变区域被分类为以下类别中的至少一个：良性，恶性或未知的。

公开(公告)号：US20060098889A1

公开(公告)日：2006-05-11

申请号：US11316096

申请日：2005-12-22

申请人： Jiebo Luo ,  Robert Gray

发明人： Jiebo Luo ,  Robert Gray

IPC分类号： G06K9/40 ,  G06K9/34

CPC分类号： G06T11/60 ,  G06T7/11 ,  G06T11/001 ,  G06T2207/30201

摘要： A system and method for automatically altering an image having pixels is disclosed. An image is segmented into regions and various features of the regions are extracted and used to calculate a confidence factor, or belief value, that a particular region is a main subject of the image. The belief values are assembled into a belief map that is used to define how pixel values are to be altered. Various color and appearance values of the pixel are altered in a predetermined way to emphasize the main subject of the image. The emphasis is applied in a binary fashion or as in a gradient of values. Either the main subject can be emphasized, or the secondary or background subjects can be de-emphasized. The system can be implement on a variety of computer systems.

摘要翻译： 公开了一种用于自动改变具有像素的图像的系统和方法。 将图像分割成区域，并且提取区域的各种特征并用于计算特定区域是图像的主要对象的置信因子或置信度值。 信念值被组合成用于定义如何改变像素值的信念图。 以预定的方式改变像素的各种颜色和外观值以强调图像的主要对象。 强调以二进制方式应用，或以值的梯度来应用。 可以强调主要主题，或者可以不再强调次要或背景科目。 该系统可以在各种计算机系统上实现。

公开(公告)号：US20050147298A1

公开(公告)日：2005-07-07

申请号：US10747597

申请日：2003-12-29

申请人： Andrew Gallagher ,  Jiebo Luo ,  Wei Hao

发明人： Andrew Gallagher ,  Jiebo Luo ,  Wei Hao

IPC分类号： G06K9/00 ,  G06T5/00 ,  G06T7/40 ,  G06K9/34

CPC分类号： G06K9/4652 ,  G06K9/00664 ,  G06T7/11 ,  G06T7/143 ,  G06T7/90

摘要： A method of detecting sky in a digital color image having pixels is disclosed. The method includes identifying pixels from the digital color image representing an initial sky region; developing a model based on the identified sky pixels, wherein such model is a mathematical function that has inputs of pixel position and outputs of color; and using the model to operate on the digital color image to classify additional pixels not included in the initial sky region as sky.

摘要翻译： 公开了一种在具有像素的数字彩色图像中检测天空的方法。 该方法包括从表示初始天空区域的数字彩色图像中识别像素; 基于所识别的天空像素开发模型，其中所述模型是具有像素位置和颜色输出的输入的数学函数; 并使用该模型对数字彩色图像进行操作，以将未包含在初始天空区域中的附加像素分类为天空。

公开(公告)号：US06826316B2

公开(公告)日：2004-11-30

申请号：US09798604

申请日：2001-03-02

申请人： Jiebo Luo ,  Wei Zhu ,  George E. Sotak ,  Robert T. Gray ,  Rajiv Mehrotra

发明人： Jiebo Luo ,  Wei Zhu ,  George E. Sotak ,  Robert T. Gray ,  Rajiv Mehrotra

IPC分类号： G06K954

CPC分类号： G06K9/52 ,  G06K9/6217 ,  Y10S707/99936

摘要： A system and method for determining image similarity. The method includes the steps of automatically providing perceptually significant features of main subject or background of a first image; automatically providing perceptually significant features of main subject or background of a second image; automatically comparing the perceptually significant features of the main subject or the background of the first image to the main subject or the background of the second image; and providing an output in response thereto. In the illustrative implementation, the features are provided by a number of belief levels, where the number of belief levels are preferably greater than two. The perceptually significant features include color, texture and/or shape. In the preferred embodiment, the main subject is indicated by a continuously valued belief map. The belief values of the main subject are determined by segmenting the image into regions of homogenous color and texture, computing at least one structure feature and at least one semantic feature for each region, and computing a belief value for all the pixels in the region using a Bayes net to combine the features. In an illustrative application, the inventive method is implemented in an image retrieval system. In this implementation, the inventive method automatically stores perceptually significant features of the main subject or background of a plurality of first images in a database to facilitate retrieval of a target image in response to an input or query image. Features corresponding to each of the plurality of stored images are automatically sequentially compared to similar features of the query image. Consequently, the present invention provides an automatic system and method for controlling the feature extraction, representation, and feature-based similarity retrieval strategies of a content-based image archival and retrieval system based on an analysis of main subject and background derived from a continuously valued main subject belief map.

公开(公告)号：US06654507B2

公开(公告)日：2003-11-25

申请号：US09736825

申请日：2000-12-14

申请人： Jiebo Luo

发明人： Jiebo Luo

IPC分类号： G06K920

CPC分类号： H04N1/3875 ,  G06K9/3233 ,  G06T7/66

摘要： A method of producing an image of at least a portion of a digital image that includes pixels includes computing a belief map of the digital image, by using the pixels of the digital image to determine a series of features and using such features to assign the probability of the location of a main subject of the digital image in the belief map determining a crop window having a shape and a zoom factor, which determine a size of the crop window and cropping the digital image to include a portion of the image of high subject content in response to the belief map and the crop window.

摘要翻译： 产生包括像素的数字图像的至少一部分的图像的方法包括通过使用数字图像的像素来确定数字图像的一系列特征并使用这些特征来分配数字图像的概率 确定具有形状和缩放因子的裁剪窗口的信念图中的数字图像的主要对象的位置，其确定裁剪窗口的尺寸并裁剪数字图像以包括高对象内容的图像的一部分 响应信仰图和裁剪窗口。

公开(公告)号：US06636645B1

公开(公告)日：2003-10-21

申请号：US09606700

申请日：2000-06-29

申请人： Qing Yu ,  Jiebo Luo ,  Rajan L. Joshi

发明人： Qing Yu ,  Jiebo Luo ,  Rajan L. Joshi

IPC分类号： G06K900

CPC分类号： H04N1/58 ,  H04N19/865

摘要： A digital image processing method reduces noise and blocking artifacts in a digital image by first converting the RGB values of the digital image pixels to Y, Cb and Cr components, then detecting the block boundaries in the Y, Cb and Cr image components, and estimating the noise in the Y, Cb and Cr image components. One or more noise tables are constructed for the Y, Cb and Cr image components. An adaptive Huber-Markov-random-field-model-based filter (HMRF) is applied to the Y, Cb and Cr image components, wherein the adaptive feature of the HMRF employs the detected block boundaries and the noise tables to produce filtered Y, Cb and Cr image components. Finally, the filtered Y, Cb and Cr image components are converted to RGB components.

摘要翻译： 数字图像处理方法通过首先将数字图像像素的RGB值转换为Y，Cb和Cr分量，然后检测Y，Cb和Cr图像分量中的块边界，并估计数字图像处理方法，从而减少数字图像中的噪声和块伪影 Y，Cb和Cr图像组件中的噪声。 为Y，Cb和Cr图像分量构建一个或多个噪声表。 将适应性Huber-Markov随机场模型滤波器（HMRF）应用于Y，Cb和Cr图像分量，其中HMRF的自适应特征采用检测的块边界和噪声表来产生滤波的Y， Cb和Cr图像组件。 最后，将滤波的Y，Cb和Cr图像分量转换为RGB分量。