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    • 51. 发明申请
    • Context-aware image processing
    • 上下文感知图像处理
    • US20080008396A1
    • 2008-01-10
    • US11481346
    • 2006-07-04
    • Pavel KisilevSuk Hwan Lim
    • Pavel KisilevSuk Hwan Lim
    • G06K9/64G06K9/38
    • G06K9/40G06K9/4642G06T5/002G06T2207/20012G06T2207/20192
    • In one respect, provided are systems, methods and techniques in which local regions within an image are processed to provide fuzzy classification scores, which are calculated by determining changes in pixel values along a number of different directions. The resulting fuzzy classification scores are then used to detect or identify edge-containing or texture-containing regions, or to otherwise process the image regions differentially according to their fuzzy classification score. In another respect, provided are systems, methods and techniques for differential processing of different areas in an image. The differential processing in this case is based on calculated measures of local activity, which indicate features in corresponding local regions, and also based on calculated measures of local pixel-value variations, which indicate an amount of variation in pixel values across the corresponding local regions.
    • 在一方面,提供了一种系统,方法和技术,其中处理图像内的局部区域以提供模糊分类分数,其通过确定沿多个不同方向的像素值的变化来计算。 然后使用所得到的模糊分类分数来检测或识别含边缘或含纹理的区域,或者根据其模糊分类分数以不同方式处理图像区域。 在另一方面,提供了用于图像中不同区域的差分处理的系统,方法和技术。 在这种情况下的差分处理是基于计算的局部活动度量,其指示对应局部区域中的特征,并且还基于计算的局部像素值变化的度量,其指示跨越相应局部区域的像素值的变化量 。
    • 53. 发明授权
    • Selecting web page content based on user permission for collecting user-selected content
    • 根据用户收集用户选择内容的用户权限选择网页内容
    • US09448695B2
    • 2016-09-20
    • US13817725
    • 2010-12-14
    • Eamonn O'Brien-StrainSuk Hwan Lim
    • Eamonn O'Brien-StrainSuk Hwan Lim
    • G06F3/0484G06Q30/02
    • G06F3/0484G06Q30/0269
    • A method, system, and computer program product for selecting web page content based on user permission for collecting user-selected content within web pages (FIG. 4, 400) may comprise accessing web page data associated with a currently viewed web page (FIG. 4, 400), the web page data comprising a popular selection of content on the currently viewed web page (FIG. 4, 408) (505), with an electronic client device, presenting the popular selection of content of the currently viewed web page (FIG. 4, 400) to a user (535), and prompting the user to agree to the use of the user's selected content within a number of web pages in exchange for use of the popular selection of content on the web page (FIG. 4, 400). The web page content is selected, based on the user's response.
    • 用于基于在网页内收集用户选择的内容的用户许可来选择网页内容的方法,系统和计算机程序产品(图4,400)可以包括访问与当前浏览的网页相关联的网页数据(图4)。 4,400),网页数据包括当前浏览的网页(图4,408)(505)上的流行的内容选择与电子客户端设备,呈现当前浏览网页的内容的流行选择 (图4,400)发送给用户(535),并且提示用户同意在多个网页内使用用户选择的内容,以换取在网页上使用流行的内容选择(图4 4,400)。 基于用户的响应选择网页内容。
    • 56. 发明授权
    • Systems and methods for luma sharpening
    • 亮度锐化的系统和方法
    • US09031319B2
    • 2015-05-12
    • US13485341
    • 2012-05-31
    • Guy CoteSuk Hwan LimMunehiro MoriSheng Lin
    • Guy CoteSuk Hwan LimMunehiro MoriSheng Lin
    • G06K9/00G06T7/40H04N5/213
    • G06T7/408H04N5/213
    • Systems, methods, and devices for sharpening image data are provided. One example of an image signal processing system includes a YCC processing pipeline that includes luma sharpening logic. The luma sharpening logic may sharpen the luma component while avoiding sharpening some noise. Specifically, a multi-scale unsharp mask filter may obtain unsharp signals by filtering an input luma component, and sharp component determination logic may determine sharp signals representing differences between the unsharp signals and the luma component. Sharp lookup tables may “core” the sharp signals, which may prevent some noise from being sharpened. Output logic may determine a sharpened output luma signal by combining the sharp signals with, for example, luma component or one of the unsharp signals.
    • 提供了用于锐化图像数据的系统,方法和设备。 图像信号处理系统的一个示例包括包括亮度锐化逻辑的YCC处理流水线。 亮度锐化逻辑可以锐化亮度分量,同时避免锐化某些噪声。 具体地说,多尺度钝化掩模滤波器可以通过对输入亮度分量进行滤波来获得钝化信号,并且尖锐分量确定逻辑可以确定表示不清晰信号和亮度分量之间差异的尖锐信号。 锐度查找表可能会“清除”尖锐的信号,这可能会阻止某些噪点的锐化。 输出逻辑可以通过将尖锐信号与例如亮度分量或钝化信号之一组合来确定锐化的输出亮度信号。
    • 57. 发明授权
    • Context-aware image processing
    • 上下文感知图像处理
    • US08818109B2
    • 2014-08-26
    • US11481346
    • 2006-07-04
    • Pavel KisilevSuk Hwan Lim
    • Pavel KisilevSuk Hwan Lim
    • G06K9/64G06K9/40G06T5/00G06K9/46
    • G06K9/40G06K9/4642G06T5/002G06T2207/20012G06T2207/20192
    • In one respect, provided are systems, methods and techniques in which local regions within an image are processed to provide fuzzy classification scores, which are calculated by determining changes in pixel values along a number of different directions. The resulting fuzzy classification scores are then used to detect or identify edge-containing or texture-containing regions, or to otherwise process the image regions differentially according to their fuzzy classification score. In another respect, provided are systems, methods and techniques for differential processing of different areas in an image. The differential processing in this case is based on calculated measures of local activity, which indicate features in corresponding local regions, and also based on calculated measures of local pixel-value variations, which indicate an amount of variation in pixel values across the corresponding local regions.
    • 在一方面,提供了一种系统,方法和技术,其中处理图像内的局部区域以提供模糊分类分数,其通过确定沿多个不同方向的像素值的变化来计算。 然后使用所得到的模糊分类分数来检测或识别含边缘或含纹理的区域,或者根据其模糊分类分数以不同方式处理图像区域。 在另一方面,提供了用于图像中不同区域的差分处理的系统,方法和技术。 在这种情况下的差分处理是基于计算的局部活动度量,其指示相应局部区域中的特征,并且还基于计算的局部像素值变化的度量,其指示跨越相应局部区域的像素值的变化量 。
    • 59. 发明授权
    • Content grouping systems and methods
    • 内容分组系统和方法
    • US08577887B2
    • 2013-11-05
    • US12639768
    • 2009-12-16
    • Parag M. JoshiJian-Ming JinSheng-Wen YangSamson J. LiuNina BhattiSuk Hwan Lim
    • Parag M. JoshiJian-Ming JinSheng-Wen YangSamson J. LiuNina BhattiSuk Hwan Lim
    • G06F17/30
    • G06F17/30911
    • A method of grouping a plurality of media content is provided. The method includes converting at least a portion of the media content into at least one document object model (“DOM”) using a processor. The DOM can include a plurality of block elements, each comprising at least one content object. The method includes apportioning the content objects into a relevant portion and an irrelevant portion and extracting a set of keywords, the set comprising at least one keyword, within the relevant portion of the content objects. The method includes apportioning the relevant portion of the content objects into a related portion and an unrelated portion using at least a portion of the set of keywords and grouping the related portion of the content to provide a group of related content.
    • 提供了一种分组多个媒体内容的方法。 该方法包括使用处理器将媒体内容的至少一部分转换成至少一个文档对象模型(“DOM”)。 DOM可以包括多个块元素,每个块元素包括至少一个内容对象。 该方法包括将内容对象分配到相关部分和不相关部分中,并且在内容对象的相关部分内提取一组关键字,该集合包括至少一个关键字。 该方法包括使用该组关键字的至少一部分将内容对象的相关部分分配到相关部分和不相关部分中,并且对内容的相关部分进行分组以提供一组相关内容。
    • 60. 发明授权
    • Ordinal and spatial local feature vector based image representation
    • 有序和空间局部特征向量的图像表示
    • US08548237B2
    • 2013-10-01
    • US12906831
    • 2010-10-18
    • Feng TangSuk Hwan LimNelson Liang An Chang
    • Feng TangSuk Hwan LimNelson Liang An Chang
    • G06K9/00
    • G06K9/4642
    • A local image patch identified in an image is divided into respective sub-patches of respective image forming elements. For each of the respective image forming elements in the local image patch, a respective ordinal rank of the image forming element is determined, and respective contributions of the image forming element to a particular one of the respective sub-patches containing the image forming element and to one or more other ones of the respective sub-patches neighboring the particular sub-patch are ascertained. Each ordinal rank corresponds to a respective dimension of an ordinal rank feature space. For each of the respective sub-patches of the local image patch, a respective histogram of ascertained contributions of the image forming elements in the ordinal rank feature space is built. A respective feature vector representing the local image patch is generated from the respective histograms built for the sub-patches of the local image.
    • 在图像中识别的局部图像块被分成各个图像形成元件的各个子块。 对于局部图像贴片中的各个图像形成元件中的每一个,确定图像形成元件的相应序数等级,并且确定图像形成元件对包含图像形成元件的各个子贴片中的特定一个的各自贡献,以及 确定与特定子贴片相邻的相应子贴片中的一个或多个其他贴片。 每个序数等级对应于序数秩特征空间的相应维度。 对于局部图像贴片的各个子贴片中的每一个,构建了排序特征空间中图像形成元素的确定贡献的相应直方图。 从针对本地图像的子片段构建的各个直方图生成表示本地图像片段的相应特征矢量。