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    • 2. 发明授权
    • Model-based line width control
    • 基于模型的线宽控制
    • US07539351B2
    • 2009-05-26
    • US11156431
    • 2005-06-20
    • Beilei XuRobert P. LoceStuart A. Schweid
    • Beilei XuRobert P. LoceStuart A. Schweid
    • G06K9/36
    • H04N1/4092G06T5/002G06T7/13G06T11/203
    • Image object adjustment is achieved without lookup tables or templates. Cross sections of image objects are modeled. Parameters of the modeled cross-section are adjusted in accord with a desired effect. For example, a width of the modeled cross section is change. The changed cross section model is sampled to determine a new value for a target pixel. For instance, vector windows are applied to a target pixel. If a candidate image object is included in the vector window, a cross section thereof is modeled as a rectangle. A parameter of the model, such as a width, is adjusted. Area sampling of the adjusted model can be used to determine a new value for the target pixel. Accuracy can be increased by blending information associated with a plurality of vector windows.
    • 没有查找表或模板实现图像对象调整。 图像对象的横截面被建模。 根据期望的效果调整建模横截面的参数。 例如,建模的横截面的宽度是变化的。 对变化的截面模型进行采样,以确定目标像素的新值。 例如,矢量窗口被应用于目标像素。 如果候选图像对象包括在向量窗口中,则其横截面被建模为矩形。 调整模型的参数,如宽度。 可以使用经调整的模型的面积采样来确定目标像素的新值。 可以通过混合与多个向量窗口相关联的信息来提高精度。
    • 4. 发明申请
    • CREATION OF CUSTOMIZED/PERSONALIZED VIDEO FROM LARGE STOCK AUDIO/VISUAL DATABASES
    • 从大型音频/视觉数据库创建自定义/个性化视频
    • US20130294745A1
    • 2013-11-07
    • US13462867
    • 2012-05-03
    • Beilei XuStuart A. SchweidRobert P. LoceLee Anne Williams
    • Beilei XuStuart A. SchweidRobert P. LoceLee Anne Williams
    • H04N9/80
    • H04N9/8211G11B27/031H04N5/76H04N21/2665H04N21/2668H04N21/854H04N21/8543
    • The present application describes a method for the creation of customized/personalized videos and displays from stock audio/video databases that provide information in a particular subject area. The described method can be applied to many varied fields. For each field, a list of possible applications of customized videos is presented. The customized/personalized videos can be generated from a collection of stock video clips and personal data (i.e. databases) by: 1) collecting and establishing a stock information database 2) collecting personalized information/desired data; 3) parsing, sorting, and indexing stock video segments to meet a particular user's needs; 4) defining a workflow of the contents based on time, location, or cause-effect relationship of contents; and, 5) using video creation tools such as a scripting based approach (e.g., AVISynth©) and/or a playlist interface to stream or assemble the video clips.
    • 本申请描述了一种用于从在特定主题区域提供信息的股票音频/视频数据库创建定制/个性化视频和显示的方法。 所描述的方法可以应用于许多不同的领域。 对于每个字段,提供定制视频的可能应用的列表。 定制/个性化视频可以通过以下方式从股票视频剪辑和个人数据(即数据库)的集合中产生:1)收集和建立股票信息数据库2)收集个性化信息/期望数据; 3)解析,排序和索引股票视频段以满足特定用户的需求; 4)基于内容的时间,位置或因果关系定义内容的工作流程; 以及5)使用诸如基于脚本的方法(例如AVISynth)和/或播放列表界面的视频创建工具来流式传输或组合视频剪辑。
    • 5. 发明授权
    • Corner sharpening using look-up table edge pixel identification
    • 使用查角表边缘像素识别的锐角锐化
    • US07639891B2
    • 2009-12-29
    • US11317427
    • 2005-12-23
    • Robert P. LoceBeilei XuStuart A SchweidSon H. NguyenMichael Branciforte
    • Robert P. LoceBeilei XuStuart A SchweidSon H. NguyenMichael Branciforte
    • G06K9/40G06K9/48
    • G06K9/4609G06T5/003G06T5/20G06T7/13G06T2207/20164G06T2207/20192H04N1/4092
    • The teachings provided herein disclose a method for corner sharpening in the display of a bitmapped digital image. The method includes the steps of selecting a target pixel location within the digital image; observing a set of pixels within a pixel observation window superimposed on the digital image relative to the target pixel location; generating edge-state codes for a plurality of pairs of neighboring vectors of pixels within the pixel observation window; generating corner-identification codes from the plurality of edge-state codes using at least one look-up table so as to thereby identify corner pixels; and, assigning a pixel value in an output image plane in a location corresponding to the target pixel in the input image, such that assigned value extends a corner where indicated by a corner identification code, thereby producing a sharpening effect. The method may be used for improving the print quality of line-art corners and other fine details as found in both font and image data.
    • 本文提供的教导公开了一种用于在位图数字图像的显示中进行拐角锐化的方法。 该方法包括以下步骤:在数字图像内选择目标像素位置; 观察相对于目标像素位置叠加在数字图像上的像素观察窗内的一组像素; 为所述像素观察窗口内的多个相邻像素向量对生成边缘状态代码; 使用至少一个查找表从所述多个边缘状态代码生成角标识码,从而识别角落像素; 并且在与输入图像中的目标像素相对应的位置的输出图像平面中分配像素值,使得分配值延伸由拐角识别码指示的角部,从而产生锐化效果。 该方法可以用于提高字体和图像数据中发现的线条角落的其他精细细节的打印质量。
    • 6. 发明授权
    • Method to align and apply geometric distortion and uniformity compensation data
    • 对齐和应用几何失真和均匀性补偿数据的方法
    • US08879118B2
    • 2014-11-04
    • US13012011
    • 2011-01-24
    • Stuart A. SchweidJoseph C. SheflinBeilei XuRobert P. Loce
    • Stuart A. SchweidJoseph C. SheflinBeilei XuRobert P. Loce
    • H04N1/60H04N1/46G03F3/08G06K9/00H04N1/401H04N1/387
    • H04N1/401H04N1/387H04N1/6027
    • As set forth herein, computer-implemented methods and systems facilitate detecting non-uniformities (e.g., streaks or other defects) in a scanned image, and correcting the non-uniformities while accounting for geometric distortion therein. For instance a scanned image may include a light streak (e.g., higher L* values than expected) down the page at a given distance from a page edge. Paper shrinkage may also cause the image to be magnified relative to the page. Correction values (e.g., L* knockdown values or the like) are generated to bring the non-uniform L* values down to a darker level. To account for the magnification of the image, the correction values are electronically registered to uniformity data for the page, and applied at the correct location to account for the magnification. The corrected image is then printed by a marking device.
    • 如本文所述,计算机实现的方法和系统便于检测扫描图像中的不均匀性(例如,条纹或其他缺陷),并且校正非均匀性,同时考虑其中的几何失真。 例如,扫描图像可以包括距离页边缘一定距离的页面下的轻条纹(例如,比期望的更高的L *值)。 纸张收缩也可能导致相对于页面放大图像。 产生校正值(例如,L *击倒值等)以使不均匀的L *值下降到较暗的水平。 为了考虑图像的放大率,将校正值以电子方式登记到页面的均匀性数据,并将其应用于正确的位置以考虑放大率。 然后通过标记装置打印校正的图像。
    • 7. 发明申请
    • METHOD TO ALIGN AND APPLY GEOMETRIC DISTORTION AND UNIFORMITY COMPENSATION DATA
    • 对齐和应用几何失真和均匀补偿数据的方法
    • US20120188565A1
    • 2012-07-26
    • US13012011
    • 2011-01-24
    • Stuart A. SchweidJoseph C. SheflinBeilei XuRobert P. Loce
    • Stuart A. SchweidJoseph C. SheflinBeilei XuRobert P. Loce
    • H04N1/60
    • H04N1/401H04N1/387H04N1/6027
    • As set forth herein, computer-implemented methods and systems facilitate detecting non-uniformities (e.g., streaks or other defects) in a scanned image, and correcting the non-uniformities while accounting for geometric distortion therein. For instance a scanned image may include a light streak (e.g., higher L* values than expected) down the page at a given distance from a page edge. Paper shrinkage may also cause the image to be magnified relative to the page. Correction values (e.g., L* knockdown values or the like) are generated to bring the non-uniform L* values down to a darker level. To account for the magnification of the image, the correction values are electronically registered to uniformity data for the page, and applied at the correct location to account for the magnification. The corrected image is then printed by a marking device.
    • 如本文所述,计算机实现的方法和系统便于检测扫描图像中的不均匀性(例如,条纹或其他缺陷),并且校正非均匀性,同时考虑其中的几何失真。 例如,扫描图像可以包括距离页边缘一定距离的页面下的轻条纹(例如,比期望的更高的L *值)。 纸张收缩也可能导致相对于页面放大图像。 产生校正值(例如,L *击倒值等)以使不均匀的L *值下降到较暗的水平。 为了考虑图像的放大率,校正值被电子地登记到页面的均匀性数据,并且应用于正确的位置以考虑放大率。 然后通过标记装置打印校正的图像。
    • 8. 发明授权
    • Tinted edge enhancement using look-up table edge pixel identification
    • 有色边缘增强使用查找表边缘像素识别
    • US07755638B2
    • 2010-07-13
    • US11318131
    • 2005-12-23
    • Robert P. LoceBeilei XuStuart A. SchweidSon H. NguyenMichael Branciforte
    • Robert P. LoceBeilei XuStuart A. SchweidSon H. NguyenMichael Branciforte
    • G09G5/02
    • H04N1/4055H04N1/4092
    • The present application is a method of producing digital image objects with enhanced halftone edges. The method operates by selecting a target pixel location within the digital image; observing a set of pixels within a pixel observation window superimposed on the digital image relative to the target pixel location; generating edge-state codes for a plurality of pairs of neighboring vectors of pixels within the pixel observation window; generating edge-identification codes from the plurality of edge-state codes using at least one look-up table; and, utilizing the edge-identification code to select and apply to the digital image at the target pixel either a first halftone screen having a first fundamental frequency and a first angle or a second halftone screen having a second fundamental frequency and a second angle, wherein the second frequency and second angle are harmonically matched to the first frequency and first angle. The method solves the problem of ragged edges on halftone tints as an automated, operation, with a computing architecture that is readily adapted to a wide variety of tinted edge conditions, and which can be readily adapted to real-time applications.
    • 本申请是生产具有增强的半色调边缘的数字图像对象的方法。 该方法通过选择数字图像内的目标像素位置来操作; 观察相对于目标像素位置叠加在数字图像上的像素观察窗内的一组像素; 为所述像素观察窗口内的多个相邻像素向量对生成边缘状态代码; 使用至少一个查找表从所述多个边缘状态代码生成边缘识别码; 并且利用边缘识别码选择并应用于目标像素处的数字图像,即具有第一基频和第一角度的第一半色调屏幕或具有第二基频和第二角度的第二半色调屏幕,其中 第二频率和第二角度与第一频率和第一角度谐波匹配。 该方法解决了作为自动化操作的半色调色调上的粗糙边缘的问题,其具有易于适应各种着色边缘条件的计算架构,并且其可以容易地适应于实时应用。