公开(公告)号：US08150164B2

公开(公告)日：2012-04-03

申请号：US11832090

申请日：2007-08-01

Applicant: Weon Geun Oh ,  Hyeong Yong Jeon ,  Chi Jung Hwang

Inventor： Weon Geun Oh ,  Hyeong Yong Jeon ,  Chi Jung Hwang

IPC: G06K9/46 ,  G06K9/40

CPC classification number: G06K9/4671 ,  G06K9/6202

Abstract: A system and method for identifying an image based on singular value decomposition is provided. The system includes: a feature point extracting module for extracting at least one of feature points from an input image using strength of a Gaussian curvature of each pixel from the input image; an identifier detecting module for detecting a local identifier based on SVD (singular value decomposition) for blocks adjacent to the extracted feature points; and a matching module for determining whether an image is duplicated or not by comparing the detected local identifier from the identifier detecting module with an image database storing at least one of images.

Abstract translation: 提供了一种基于奇异值分解来识别图像的系统和方法。 该系统包括：特征点提取模块，用于使用来自输入图像的每个像素的高斯曲率的强度从输入图像中提取特征点中的至少一个; 标识符检测模块，用于基于与所提取的特征点相邻的块的SVD（奇异值分解）来检测本地标识符; 以及匹配模块，用于通过将检测到的来自标识符检测模块的本地标识符与存储至少一个图像的图像数据库进行比较来确定图像是否被复制。

公开(公告)号：US08009859B2

公开(公告)日：2011-08-30

申请号：US11577030

申请日：2005-10-18

Applicant: Weon Geun Oh ,  Ik Hwan Cho ,  Dong Seok Jeong ,  Hae Gwang Kim

Inventor： Weon Geun Oh ,  Ik Hwan Cho ,  Dong Seok Jeong ,  Hae Gwang Kim

IPC: G06K9/00

CPC classification number: H04N17/00 ,  G06T1/0028 ,  G06T7/42 ,  G06T2201/0202 ,  G06T2207/20048 ,  H04N2005/91335

Abstract: Provided is a method of selecting test stimuli for use in evaluating performance of a video watermarking algorithm, including the steps of: calculating an image complexity rate (ICR) for each of a plurality of test stimulus candidates and classifying them into L (where L is an integer more than or equal to 2) levels based on the calculated ICR values; calculating an energy distribution rate (EDR) for each of the plurality of test stimulus candidates, and classifying them into M (where M is an integer more than or equal to 2) levels based on the calculated EDR values; calculating a motion rate (MR) for each of the plurality of test stimulus candidates and classifying them into N (where N is an integer more than or equal to 2) levels of the calculated MR values; and selecting at least one test stimulus from each of the L levels, M levels, the N levels of the test stimuli, respectively.

Abstract translation: 提供了一种选择用于评估视频水印算法的性能的测试刺激的方法，包括以下步骤：计算多个测试刺激候选中的每一个的图像复杂度（ICR），并将它们分类为L（其中L是 基于所计算的ICR值的大于或等于2）的水平; 计算所述多个测试刺激候选中的每一个的能量分布率（EDR），并且基于所计算的EDR值将它们分类为M（其中M是大于或等于2的整数）级别; 计算多个测试刺激候选中的每一个的运动速率（MR），并将其分类为计算的MR值的N（其中N是大于或等于2的整数）的水平; 以及分别从L个级别，M个级别，N个级别的测试刺激中的每一个中选择至少一个测试刺激。

公开(公告)号：US06665437B1

公开(公告)日：2003-12-16

申请号：US09484533

申请日：2000-01-18

Applicant: Su Young Chi ,  Weon Geun Oh ,  Kyung Ae Moon ,  Young Sup Hwang ,  Dae Geun Jang

Inventor： Su Young Chi ,  Weon Geun Oh ,  Kyung Ae Moon ,  Young Sup Hwang ,  Dae Geun Jang

IPC: G06K946

CPC classification number: G06K9/4604 ,  G06K9/6828 ,  G06K2209/01

Abstract: Disclosed is a method for recognizing multi-language printed documents, a method for extracting character features according to the present invention, the method comprising the steps of: a) normalizing characters to a fixed size; b) converting the size-fixed characters into mesh-type characters; c) extracting stroke features of each of the mesh-type characters; d) extracting non-stroke features of each of the mesh-type characters; and e) extracting the character features using the stroke features and the non-stroke features. The present invention provides a high recognition rate irrespective of the size and modification of the characters, by extracting the character feature from the stroke and non-stroke in the mesh block.

Abstract translation: 公开了一种用于识别多语言印刷文件的方法，一种用于提取根据本发明的字符特征的方法，所述方法包括以下步骤：a）将字符归一化为固定大小; b）将大小固定的字符转换成网格类型的字符; c）提取每个网格型字符的笔画特征; d）提取每个网格型字符的非笔画特征; 以及e）使用笔画特征和非笔画特征提取字符特征。 通过从网格块中的笔画和非笔画中提取字符特征，本发明提供了与字符的大小和修改无关的高识别率。

公开(公告)号：US08792773B2

公开(公告)日：2014-07-29

申请号：US12971122

申请日：2010-12-17

Applicant: Sang Il Na ,  Weon Geun Oh ,  Hyuk Jeong ,  Keun Dong Lee ,  Sung Kwan Je ,  Dong Seok Jeong ,  Ju Kyong Jin ,  Seon Tae Kim

Inventor： Sang Il Na ,  Weon Geun Oh ,  Hyuk Jeong ,  Keun Dong Lee ,  Sung Kwan Je ,  Dong Seok Jeong ,  Ju Kyong Jin ,  Seon Tae Kim

IPC: H04N9/80

CPC classification number: H04N5/76 ,  G06F17/30781 ,  G11B27/11 ,  G11B27/28

Abstract: A system for managing and searching for a digital video includes: a video feature point extraction unit decoding an input video and extracting a feature point; a video feature point database (DB) storing and managing a feature point of a video to be compared (i.e., a comparison target video), and a video feature point comparison unit coarsely comparing the feature point of the input video and that of the comparison target video to acquire a candidate group, and minutely comparing the candidate group to detect a content repeated section, and informing a user of the content repeated section.

Abstract translation: 用于管理和搜索数字视频的系统包括：视频特征点提取单元，对输入视频进行解码并提取特征点; 存储和管理要比较的视频的特征点（即，比较对象视频）的视频特征点数据库（DB）和粗略比较输入视频的特征点与比较对象的视频特征点比较单元 目标视频以获取候选组，并且仔细比较候选组以检测内容重复部分，并向用户通知内容重复部分。

公开(公告)号：US08477836B2

公开(公告)日：2013-07-02

申请号：US12665311

申请日：2008-06-18

Applicant: Young-Suk Yoon ,  Wonyoung Yoo ,  Yong-Seok Seo ,  Sang Kwang Lee ,  Jin Soo Seo ,  Seungjae Lee ,  Weon Geun Oh ,  Young Ho Suh

Inventor： Young-Suk Yoon ,  Wonyoung Yoo ,  Yong-Seok Seo ,  Sang Kwang Lee ,  Jin Soo Seo ,  Seungjae Lee ,  Weon Geun Oh ,  Young Ho Suh

IPC: H04N11/02

CPC classification number: H04N5/91

Abstract: A method for managing digital videos includes extracting a feature of an input digital video, searching for candidate features having similarity to the extracted feature, and comparing the extracted feature with each of the candidate features to select at least one of the candidate features similar to the extracted feature and provide information on a digital video corresponding to the selected candidate feature.

Abstract translation: 一种用于管理数字视频的方法包括提取输入数字视频的特征，搜索具有与所提取的特征相似的候选特征，以及将提取的特征与每个候选特征进行比较，以选择至少一个类似于 提取特征并提供与所选候选特征相对应的数字视频的信息。

公开(公告)号：US20090172404A1

公开(公告)日：2009-07-02

申请号：US12226915

申请日：2006-08-11

Applicant: Won Gyum Kim ,  Yong-Seok Seo ,  Seon Hwa Lee ,  Wonyoung Yoo ,  Sang Kwang Lee ,  Sung Hwan Lee ,  Seungjae Lee ,  Hye Won Jung ,  Young-Suk Yoon ,  Jin Soo Seo ,  Young Ho Suh ,  Weon Geun Oh

Inventor： Won Gyum Kim ,  Yong-Seok Seo ,  Seon Hwa Lee ,  Wonyoung Yoo ,  Sang Kwang Lee ,  Sung Hwan Lee ,  Seungjae Lee ,  Hye Won Jung ,  Young-Suk Yoon ,  Jin Soo Seo ,  Young Ho Suh ,  Weon Geun Oh

IPC: H04L9/00 ,  G06K9/36 ,  G06K9/46 ,  G06K9/40

CPC classification number: G06T1/0071 ,  G06T2201/0052

Abstract: A hybrid watermark insertion method includes the steps of dividing the digital image into a low frequency region and a high frequency region using an edge map of the digital image; inserting a watermark into the low frequency region of the image by employing a watermarking method using a human visual system (HVS); and inserting the watermark into the high frequency region of the image by employing a quantization index modulation (QIM) method. A hybrid watermark extraction method includes the steps of estimating a reference value used when inserting a watermark, and searching a maximum value of correlation coefficients in an image of the watermark image while changing the estimated reference value within a designated range, to thereby find out the watermark insertion method. Accordingly, the watermark insertion method can be easily identified, thereby enabling the watermark extraction in a more readily manner.

Abstract translation: 混合水印插入方法包括以下步骤：使用数字图像的边缘图将数字图像分割成低频区域和高频区域; 通过使用人类视觉系统（HVS）的水印方法将水印插入图像的低频区域; 并通过采用量化索引调制（QIM）方法将水印插入图像的高频区域。 混合水印提取方法包括以下步骤：估计在插入水印时使用的参考值，并且在指定范围内改变估计的参考值的同时，在水印图像的图像中搜索相关系数的最大值，从而找出 水印插入法。 因此，可以容易地识别水印插入方法，从而能够更容易地进行水印提取。

公开(公告)号：US20080085054A1

公开(公告)日：2008-04-10

申请号：US11577030

申请日：2005-10-18

Applicant: Weon Geun Oh ,  Ik Hwan Cho ,  Dong Seok Jeong ,  Hae Gwang Kim

Inventor： Weon Geun Oh ,  Ik Hwan Cho ,  Dong Seok Jeong ,  Hae Gwang Kim

IPC: G06K9/62

CPC classification number: H04N17/00 ,  G06T1/0028 ,  G06T7/42 ,  G06T2201/0202 ,  G06T2207/20048 ,  H04N2005/91335

Abstract: Provided is a method of selecting test stimuli for use in evaluating performance of a video watermarking algorithm, including the steps of: calculating an image complexity rate (ICR) for each of a plurality of test stimulus candidates and classifying them into L (where L is an integer more than or equal to 2) levels based on the calculated ICR values; calculating an energy distribution rate (EDR) for each of the plurality of test stimulus candidates, and classifying them into M (where M is an integer more than or equal to 2) levels based on the calculated EDR values; calculating a motion rate (MR) for each of the plurality of test stimulus candidates and classifying them into N (where N is an integer more than or equal to 2) levels of the calculated MR values; and selecting at least one test stimulus from each of the L levels, M levels, the N levels of the test stimuli, respectively.

Abstract translation: 提供了一种选择用于评估视频水印算法的性能的测试刺激的方法，包括以下步骤：计算多个测试刺激候选中的每一个的图像复杂度（ICR），并将它们分类为L（其中L是 基于所计算的ICR值的大于或等于2）的水平; 计算所述多个测试刺激候选中的每一个的能量分布率（EDR），并且基于所计算的EDR值将它们分类为M（其中M是大于或等于2的整数）级别; 计算多个测试刺激候选中的每一个的运动速率（MR），并将其分类为计算的MR值的N（其中N是大于或等于2的整数）的水平; 以及分别从L个级别，M个级别，N个级别的测试刺激中的每一个中选择至少一个测试刺激。

公开(公告)号：US06934403B2

公开(公告)日：2005-08-23

申请号：US10029835

申请日：2001-12-31

Applicant: Sanghyun Joo ,  Yong-Seok Seo ,  Young Ho Suh ,  Weon Geun Oh

Inventor： Sanghyun Joo ,  Yong-Seok Seo ,  Young Ho Suh ,  Weon Geun Oh

IPC: H04N5/913 ,  G06T1/00 ,  G06K9/00

CPC classification number: G06T1/0057 ,  G06T2201/0052 ,  G06T2201/0083

Abstract: An apparatus and method for embedding and extracting digital watermarks using a blind mode based on wavelet transform which is robust to external attacks while being capable of minimizing a degradation in picture quality caused by embedding of the watermarks. In accordance with the invention, watermarks protection of the copyright for desired data are embedded in DC component domains of wavelet-transformed domains. In accordance with the invention, embedding of watermarks in a target image corresponding to a target domain in which the watermarks are to be embedded, is achieved by generating a data stream of the watermarks in accordance with a key value selected by the user, generating index information representing positions where the watermarks are to be embedded, in accordance with a key value selected by the ser, and reflecting the watermark data stream on data values of pixels in the target image at the positions based on the index information.

Abstract translation: 一种使用基于小波变换的盲模式嵌入和提取数字水印的装置和方法，该小波变换对于外部攻击是鲁棒的，同时能够最小化由嵌入水印引起的图像质量的劣化。 根据本发明，水印保护期望数据的版权被嵌入到小波变换域的DC分量域中。 根据本发明，通过根据用户选择的键值产生水印的数据流，将水印嵌入在与要嵌入水印的目标域相对应的目标图像中，产生索引 根据由该服务器选择的键值来表示要嵌入水印的位置的信息，并且基于该索引信息，将该水印数据流反映在该目标图像中的像素的数据值上。

公开(公告)号：US06606394B1

公开(公告)日：2003-08-12

申请号：US09475119

申请日：1999-12-30

Applicant: Chang Joon Park ,  Hyeon Jin Kim ,  Weon Geun Oh

Inventor： Chang Joon Park ,  Hyeon Jin Kim ,  Weon Geun Oh

IPC: G06K900

CPC classification number: G06T7/0008 ,  G01N21/88 ,  G01N21/8851 ,  G01N2021/8887 ,  G06T7/68

Abstract: A surface inspecting apparatus comprises an image achieving unit for achieving an image of a surface of an object; and a controller for providing the symmetry feature of the spot or contaminant by using the magnitude of the intensity gradient and the orientation of the intensity gradient for each pixel of the achieved surface image to thereby detect a spot or contaminant on the surface. The controller detects the spot or contaminant by using a symmetry magnitude map formed by the magnitude of the intensity gradient and the orientation of the intensity gradient of each pixel, after achieving the magnitude of the intensity gradient and the orientation of the intensity gradient by using a gradient operator on the achieved surface image, wherein the symmetry magnitude map provides the internal symmetry feature of the spot or contaminant.

Abstract translation: 表面检查装置包括用于实现物体表面的图像的图像获得单元; 以及控制器，用于通过使用所获得的表面图像的每个像素的强度梯度的强度梯度和强度梯度的方向来提供斑点或污染物的对称特征，从而检测表面上的斑点或污染物。 控制器通过使用由强度梯度的大小和每个像素的强度梯度的取向形成的对称幅度图，通过使用强度梯度的强度和强度梯度的方向 在所获得的表面图像上的梯度算子，其中对称幅度图提供斑点或污染物的内部对称特征。