会员体验
专利管家(专利管理)
工作空间(专利管理)
风险监控(情报监控)
数据分析(专利分析)
侵权分析(诉讼无效)
联系我们
交流群
官方交流:
QQ群: 891211   
微信请扫码    >>>
现在联系顾问~
热词
    • 1. 发明授权
    • Textual attribute-based image categorization and search
    • 基于文本属性的图像分类和搜索
    • US08503767B2
    • 2013-08-06
    • US12560658
    • 2009-09-16
    • Jian SunLitian TaoLu Yuan
    • Jian SunLitian TaoLu Yuan
    • G06K9/62
    • G06F3/0482G06K9/468
    • Techniques and systems for providing textual attribute-based image categorization and search are disclosed herein. In some aspects, images may be analyzed to identify a category of an image, or portion thereof. Additional textual attributes may be identified and associated with the image. In various aspects, the categories may be types of sky sceneries. Categorized images may be searched based on the categories and/or attributes. In further aspects, a user interface may provide an intuitive arrangement of the images for user navigation and selection. The user interface may also provide a simplified presentation and search of the categorized images. Images selected from user interface may be used to replace or modify features of an existing target image.
    • 本文公开了用于提供基于文本属性的图像分类和搜索的技术和系统。 在一些方面,可以分析图像以识别图像的类别或其部分。 可以识别附加的文本属性并与图像相关联。 在各个方面,这些类别可能是天空的风格。 可以基于类别和/或属性来搜索分类图像。 在另外的方面,用户界面可以提供用于用户导航和选择的图像的直观排列。 用户界面还可以提供对分类图像的简化呈现和搜索。 从用户界面中选择的图像可用于替换或修改现有目标图像的特征。
    • 2. 发明申请
    • TEXTUAL ATTRIBUTE-BASED IMAGE CATEGORIZATION AND SEARCH
    • 基于文本属性的图像分类和搜索
    • US20110064301A1
    • 2011-03-17
    • US12560658
    • 2009-09-16
    • Jian SunLitian TaoLu Yuan
    • Jian SunLitian TaoLu Yuan
    • G06K9/62
    • G06F3/0482G06K9/468
    • Techniques and systems for providing textual attribute-based image categorization and search are disclosed herein. In some aspects, images may be analyzed to identify a category of an image, or portion thereof. Additional textual attributes may be identified and associated with the image. In various aspects, the categories may be types of sky sceneries. Categorized images may be searched based on the categories and/or attributes. In further aspects, a user interface may provide an intuitive arrangement of the images for user navigation and selection. The user interface may also provide a simplified presentation and search of the categorized images. Images selected from user interface may be used to replace or modify features of an existing target image.
    • 本文公开了用于提供基于文本属性的图像分类和搜索的技术和系统。 在一些方面,可以分析图像以识别图像的类别或其部分。 可以识别附加的文本属性并与图像相关联。 在各个方面,这些类别可能是天空的风格。 可以基于类别和/或属性来搜索分类图像。 在另外的方面,用户界面可以提供用于用户导航和选择的图像的直观排列。 用户界面还可以提供对分类图像的简化呈现和搜索。 从用户界面中选择的图像可用于替换或修改现有目标图像的特征。
    • 7. 发明申请
    • DUAL-PHASE RED EYE CORRECTION
    • 双相红眼修正
    • US20120301024A1
    • 2012-11-29
    • US13116254
    • 2011-05-26
    • Lu YuanFang WenJian Sun
    • Lu YuanFang WenJian Sun
    • G06K9/00
    • H04N1/624G06T7/11G06T7/136G06T2207/10024G06T2207/30216
    • A dual-phase approach to red eye correction may prevent overly aggressive or overly conservative red eye reduction. The dual-phase approach may include detecting an eye portion in a digital image. Once the eye portion is detected, the dual-phase approach may include the performance of a strong red eye correction for the eye portion when the eye portion includes a strong red eye. Otherwise, the dual-phase approach may include the performance of a weak red eye correction for the eye portion when the eye portion includes a weak red eye. The weak red eye may be distinguished from the strong red eye based a redness threshold that shows the weak red eye as having less redness hue than the strong red eye.
    • 红眼矫正的双相方法可以防止过度侵略或过度保守的红眼减轻。 双相方法可以包括检测数字图像中的眼部分。 一旦检测到眼睛部分,当眼部包括强红眼时,双相方法可以包括对眼部进行强红眼矫正。 否则,双眼方法可以包括当眼睛部分包括弱红眼时对眼部进行弱红眼修正。 弱红眼可以与强红眼区分开,发红度阈值显示弱红眼具有比强红眼少的发红色调。
    • 8. 发明授权
    • Dual-phase red eye correction
    • 双相红眼矫正
    • US08571271B2
    • 2013-10-29
    • US13116254
    • 2011-05-26
    • Lu YuanFang WenJian Sun
    • Lu YuanFang WenJian Sun
    • G06K9/00
    • H04N1/624G06T7/11G06T7/136G06T2207/10024G06T2207/30216
    • A dual-phase approach to red eye correction may prevent overly aggressive or overly conservative red eye reduction. The dual-phase approach may include detecting an eye portion in a digital image. Once the eye portion is detected, the dual-phase approach may include the performance of a strong red eye correction for the eye portion when the eye portion includes a strong red eye. Otherwise, the dual-phase approach may include the performance of a weak red eye correction for the eye portion when the eye portion includes a weak red eye. The weak red eye may be distinguished from the strong red eye based a redness threshold that shows the weak red eye as having less redness hue than the strong red eye.
    • 红眼矫正的双相方法可以防止过度侵略或过度保守的红眼减轻。 双相方法可以包括检测数字图像中的眼部分。 一旦检测到眼睛部分,当眼部包括强红眼时,双相方法可以包括对眼部进行强红眼矫正。 否则,双眼方法可以包括当眼睛部分包括弱红眼时对眼部进行弱红眼修正。 弱红眼可以与强红眼区分开,发红度阈值显示弱红眼具有比强红眼少的发红色调。
    • 9. 发明授权
    • Automatic exposure correction of images
    • 自动曝光校正图像
    • US08554011B2
    • 2013-10-08
    • US13155202
    • 2011-06-07
    • Lu YuanJian Sun
    • Lu YuanJian Sun
    • G06K9/40
    • G06T5/008
    • Techniques for automatic exposure correction of images are provided. In particular, the exposure of an input image may be improved by automatically modifying a non-linear function that characterizes the luminance of shadow, mid-tone, and highlight portions of the image. The input image may be segmented into a number of regions and each region is assigned a zone, where the zone indicates a specified range of luminance values. An initial zone assigned to a region of the image may be changed in order to reflect an optimal zone of the region. Based, in part, on the optimal zones for each region of the image, luminance modification parameters may be calculated and applied to the non-linear function in order to produce a modified version of the input image that improves the appearance of overexposed and/or underexposed regions of the input image.
    • 提供了图像自动曝光校正技术。 特别地,可以通过自动修改表征图像的阴影,中间色调和高光部分的亮度的非线性函数来改善输入图像的曝光。 输入图像可以被分割成多个区域,并且每个区域被分配一个区域,其中该区域指示指定的亮度值范围。 可以改变分配给图像的区域的初始区域,以便反映该区域的最佳区域。 基于部分地基于图像的每个区域的最佳区域,可以计算亮度修改参数并将其应用于非线性函数,以便产生输入图像的修改版本,其改善曝光过度和/或 输入图像的曝光不足区域。
    • 10. 发明授权
    • Removing blur from an image
    • 从图像中删除模糊
    • US08406564B2
    • 2013-03-26
    • US12237126
    • 2008-09-24
    • Jian SunHeung-Yeung ShumLu YuanLong Quan
    • Jian SunHeung-Yeung ShumLu YuanLong Quan
    • G06K9/64G06K9/40G06K9/36
    • G06T5/003G06T2207/20016G06T2207/20028
    • Embodiments related to the removal of blur from an image are disclosed. One disclosed embodiment provides a method of performing an iterative non-blind deconvolution of a blurred image to form an updated image. The method comprises downsampling the blurred image to form a blurred image pyramid comprising images of two or more different resolution scales, downsampling a blur kernel to form a blur kernel pyramid comprising kernels of two or more different sizes, and deconvoluting a selected image in the blurred image pyramid according to a Richardson-Lucy deconvolution process in which a bilateral range/spatial filter is employed.
    • 公开了从图像中去除模糊的实施例。 一个公开的实施例提供了一种执行模糊图像的迭代非盲去卷积以形成更新图像的方法。 该方法包括对模糊图像进行下采样以形成包含两个或多个不同分辨率尺度的图像的模糊图像金字塔,对模糊核心进行下采样以形成包含两个或更多个不同大小的粒子的模糊核心金字塔,并且对模糊的所选图像进行解卷积 图像金字塔根据理查森 - 露西反卷积过程,其中采用双边范围/空间滤波器。