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81. 发明授权

US08706674B2 Media tag recommendation technologies 有权
标题翻译：媒体标签推荐技术
公开(公告)号：US08706674B2
公开(公告)日：2014-04-22
申请号：US13537802
申请日：2012-06-29
申请人： Linjun Yang , Lei Wu , Xian-Sheng Hua
发明人： Linjun Yang , Lei Wu , Xian-Sheng Hua
IPC分类号： G06F19/00 , G06T1/00
CPC分类号： G06F17/3089 , G06Q10/10
摘要： Technologies for recommending relevant tags for the tagging of media based on one or more initial tags provided for the media and based on a large quantity of other tagged media. Sample media as candidates for recommendation are provided by a set of weak rankers based on corresponding relevance measures in semantic and visual domains. The various samples provided by the weak rankers are then ranked based on relative order to provide a list of recommended tags for the media. The weak rankers provide sample tags based on relevance measures including tag co-occurrence, tag content correlation, and image-conditioned tag correlation.
摘要翻译：基于为媒体提供的一个或多个初始标签并基于大量其他标记的媒体来推荐用于标记媒体的相关标签的技术。作为推荐候选人的示例媒体由一组基于语义和视觉领域中的相应相关性度量的弱排名者提供。然后由弱排名者提供的各种样本根据相关顺序排列，以提供媒体推荐标签的列表。弱排名者基于相关性测量提供样本标签，包括标签共现，标签内容相关性和图像条件标签相关性。

82. 发明授权

US08560517B2 Object retrieval using visual query context 有权
标题翻译：使用视觉查询语境对象检索
公开(公告)号：US08560517B2
公开(公告)日：2013-10-15
申请号：US13176279
申请日：2011-07-05
申请人： Linjun Yang , Bo Geng , Xian-Sheng Hua , Yang Cai
发明人： Linjun Yang , Bo Geng , Xian-Sheng Hua , Yang Cai
IPC分类号： G06F17/30
CPC分类号： G06F17/30277 , G06F17/30256
摘要： Some implementations provide techniques and arrangements to perform image retrieval. For example, some implementations identify an object of interest and a visual context in a first image. In some implementations, a second image that includes a second object of interest and a second visual context may be compared to the object of interest and the visual content, respectively, to determine whether the second image matches the first image.
摘要翻译：一些实现提供执行图像检索的技术和布置。例如，一些实现在第一图像中识别感兴趣的对象和视觉上下文。在一些实施方案中，可以分别将包括感兴趣的第二对象和第二视觉上下文的第二图像与感兴趣对象和视觉内容进行比较，以确定第二图像是否匹配第一图像。

83. 发明授权

US08494983B2 Object-sensitive image search 有权
标题翻译：对象敏感图像搜索
公开(公告)号：US08494983B2
公开(公告)日：2013-07-23
申请号：US12947083
申请日：2010-11-16
申请人： Meng Wang , Xian-Sheng Hua , Yan Song
发明人： Meng Wang , Xian-Sheng Hua , Yan Song
IPC分类号： G06F15/18
CPC分类号： G06F17/30256 , G06K9/6259 , G06N99/005
摘要： Methods and systems for object-sensitive image searches are described herein. These methods and systems are usable for receiving a query for an image of an object and providing a ranked list of query results to the user based on a ranking of the images. The object-sensitive image searches may generate a pre-trained multi-instance learning (MIL) model trained from free training data from users sharing images at websites to identify a common pattern of the object, and/or may generate a MIL model “on the fly” trained from pseudo-positive and pseudo-negative samples of query results to identify a common pattern of the object. As such, the user is presented with query results that include images that prominently display the object near the top of the results.
摘要翻译：本文描述了用于对象敏感图像搜索的方法和系统。这些方法和系统可用于接收对象的图像的查询，并且基于图像的排名向用户提供排序的查询结果列表。对象敏感图像搜索可以生成预先训练的来自在网站上共享图像的用户的免费训练数据训练的多实例学习（MIL）模型，以识别对象的共同模式，和/或可以生成MIL模型飞行“从查询结果的伪正和伪负样本中训练，以识别对象的共同模式。因此，向用户呈现包括在结果顶部附近显着地显示对象的图像的查询结果。

84. 发明申请

US20120251007A1 Robust Large-Scale Visual Codebook Construction 有权
标题翻译：坚固的大型视觉代码簿构建
公开(公告)号：US20120251007A1
公开(公告)日：2012-10-04
申请号：US13077735
申请日：2011-03-31
申请人： Linjun Yang , Darui Li , Xian-Sheng Hua , Hong-Jiang Zhang
发明人： Linjun Yang , Darui Li , Xian-Sheng Hua , Hong-Jiang Zhang
IPC分类号： G06K9/46
CPC分类号： G06K9/6223
摘要： Techniques for construction of a visual codebook are described herein. Feature points may be extracted from large numbers of images. In one example, images providing N feature points may be used to construct a codebook of K words. The centers of each of K clusters of feature points may be initialized. In a looping or iterative manner, an assignment step assigns each feature point to a cluster and an update step locates a center of each cluster. The feature points may be assigned to a cluster based on a lesser of a distance to a center of a previously assigned cluster and a distance to a center derived by operation of an approximate nearest neighbor algorithm having aspects of randomization. The loop terminates when the feature points have sufficiently converged to their respective clusters. Centers of the clusters represent visual words, which may be used to construct the visual codebook.
摘要翻译：本文描述了构建视觉码本的技术。特征点可以从大量图像中提取出来。在一个示例中，提供N个特征点的图像可以用于构造K个字的码本。可以初始化K个特征点中的每一个的中心。以循环或迭代的方式，分配步骤将每个特征点分配给集群，并且更新步骤定位每个集群的中心。可以基于距先前分配的簇的中心的距离中较小的一个特征点来分配特征点，以及通过具有随机化方面的近似最近邻算法的操作导出的到中心的距离。当特征点已经充分收敛到它们各自的簇时，环路终止。集群的中心表示视觉词，可用于构建视觉码本。

85. 发明申请

US20120158721A1 Tag Association with Image Regions 有权
标题翻译：标签与图像区域的关联
公开(公告)号：US20120158721A1
公开(公告)日：2012-06-21
申请号：US12972203
申请日：2010-12-17
申请人： Xian-Sheng Hua , Kuiyuan Yang , Meng Wang , Hong-Jiang Zhang
发明人： Xian-Sheng Hua , Kuiyuan Yang , Meng Wang , Hong-Jiang Zhang
IPC分类号： G06F17/30
CPC分类号： G06F17/30256 , G06F17/30268
摘要： A computing device configured to determine that one or more regions of an image are associated with a tag of the image is described herein. The computing device is further configured to determine one or more attribute tags describing at least one of the content or context of the one or more regions. Upon determining the attribute tags, the computing device associates the attribute tags with the tag to enable image searching based on the tag and attribute tags.
摘要翻译：在此描述了被配置为确定图像的一个或多个区域与图像的标签相关联的计算设备。计算设备还被配置为确定描述一个或多个区域的内容或上下文中的至少一个的一个或多个属性标签。在确定属性标签之后，计算设备将属性标签与标签相关联，以便基于标签和属性标签启用图像搜索。

86. 发明申请

US20120092357A1 Region-Based Image Manipulation 审中-公开
标题翻译：基于区域的图像处理
公开(公告)号：US20120092357A1
公开(公告)日：2012-04-19
申请号：US12904379
申请日：2010-10-14
申请人： Jingdong Wang , Xian-Sheng Hua
发明人： Jingdong Wang , Xian-Sheng Hua
IPC分类号： G09G5/00
CPC分类号： G06T11/001
摘要： Region-based image manipulation can include selecting and segmenting regions of a particular image. The regions are identified through the use of simplified brushstrokes over pixels of the regions. Identified regions can be manipulated or transformed accordingly. Certain implementations include filling in regions with other images or objects, and include performing a text query to search for such images or objects.
摘要翻译：基于区域的图像处理可以包括选择和分割特定图像的区域。通过在区域的像素上使用简化的笔触来识别区域。识别的区域可以相应地被操纵或变换。某些实施方式包括填充具有其他图像或对象的区域，并且包括执行文本查询以搜索这样的图像或对象。

87. 发明申请

US20110191334A1 Smart Interface for Color Layout Sensitive Image Search 审中-公开
标题翻译：用于彩色布局敏感图像搜索的智能界面
公开(公告)号：US20110191334A1
公开(公告)日：2011-08-04
申请号：US12700613
申请日：2010-02-04
申请人： Xian-Sheng Hua , Jingdong Wang
发明人： Xian-Sheng Hua , Jingdong Wang
IPC分类号： G06F17/30 , G06F3/048
CPC分类号： G06F3/048 , G06F16/00
摘要： The present disclosure describes a user interface and techniques to use the user interface to specify user search intent for color layout image search. In one aspect, a user interface is comprised of a color map control, a plurality of controls to draw a color layout, and a drawing canvas upon which to draw. The controls used to draw the color layout include shape preserving and shape modifying operations as wells as editing operations. In this way a color layout may be automatically generated with drawing semantics. The user interface may also be integrated with text search engines that perform text search on text metadata tags associated with digital images.
摘要翻译：本公开描述了用户界面和使用用户界面指定用于颜色布局图像搜索的用户搜索意图的技术。在一个方面，用户界面包括颜色映射控件，绘制颜色布局的多个控件和绘制画布。用于绘制颜色布局的控件包括形状保留和形状修改操作以及编辑操作。以这种方式，可以使用绘制语义自动生成颜色布局。用户界面还可以与对与数字图像相关联的文本元数据标签执行文本搜索的文本搜索引擎进行集成。

88. 发明申请

US20100185624A1 COLORBLIND ACCESSIBLE IMAGE SEARCH 有权
标题翻译： COLORBLIND可访问的图像搜索
公开(公告)号：US20100185624A1
公开(公告)日：2010-07-22
申请号：US12355795
申请日：2009-01-18
申请人： Meng Wang , Linjun Yang , Xian-Sheng Hua
发明人： Meng Wang , Linjun Yang , Xian-Sheng Hua
IPC分类号： G06F17/30
CPC分类号： G06F17/3025
摘要： Colorblind accessible image search technique embodiments are presented that re-rank the results of a relevance-ranked image search to account for the accessibility of the images to a colorblind person. This is accomplished by first computing a colorblind accessibility quantity for each image of interest in the search results. A colorblind accessibility quantity quantizes the degree to which color information is preserved when an image is perceived by a colorblind person viewing the image. It is computed by generating a colorblind version of an image that simulates how the image would appear to the colorblind person. An amount quantifying the loss of color information between the image and the colorblind version of the image is then estimated. This estimate is used to compute the colorblind accessibility quantity for the image. Once the colorblind accessibility quantities have been computed, the image search results are re-ranked based on these quantities.
摘要翻译：呈现了彩色盲可访问图像搜索技术实施例，其对排序相关的图像搜索的结果进行重新排序，以便将图像的可访问性应用于彩色盲人。这是通过首先计算搜索结果中感兴趣的每个图像的色盲辅助数量来实现的。彩色可见量可以量化当查看图像的彩色盲人感知到图像时保留颜色信息的程度。它通过生成图像的彩色版本来计算，该图像模拟图像将如何显示给彩色盲人。然后估计量化图像和图像的彩色版本之间的颜色信息的损失的量。该估计用于计算图像的色盲辅助数量。一旦计算了色盲辅助数量，就会根据这些数量重新排列图像搜索结果。

89. 发明授权

US07164798B2 Learning-based automatic commercial content detection 失效
标题翻译：基于学习的自动商业内容检测
公开(公告)号：US07164798B2
公开(公告)日：2007-01-16
申请号：US10368235
申请日：2003-02-18
申请人： Xian-Sheng Hua , Lie Lu , Mingjing Li , Hong-Jiang Zhang
发明人： Xian-Sheng Hua , Lie Lu , Mingjing Li , Hong-Jiang Zhang
IPC分类号： G06K9/72 , H04H9/00
CPC分类号： G06K9/00711
摘要： Systems and methods for learning-based automatic commercial content detection are described. In one aspect, program data is divided into multiple segments. The segments are analyzed to determine visual, audio, and context-based feature sets that differentiate commercial content from non-commercial content. The context-based features are a function of single-side left and/or right neighborhoods of segments of the multiple segments.
摘要翻译：描述了基于学习的自动商业内容检测的系统和方法。在一个方面，程序数据被分成多个段。分析段以确定将商业内容与非商业内容区分开的视觉，音频和基于上下文的特征集。基于上下文的特征是多个段的单侧左和/或右邻域的函数。

90. 发明授权

US08682065B2 Distance metric learning with feature decomposition 有权
标题翻译：距离度量学习与特征分解
公开(公告)号：US08682065B2
公开(公告)日：2014-03-25
申请号：US12344018
申请日：2008-12-24
申请人： Meng Wang , Xian-Sheng Hua
发明人： Meng Wang , Xian-Sheng Hua
IPC分类号： G06K9/00
CPC分类号： G06K9/6235 , G06K9/6215
摘要： This disclosure describes various exemplary systems, computer program products, and methods for feature distance metric learning with feature decomposition (DMLFD). The disclosure describes decomposing a high-dimensional feature space into one or more low-dimensional feature spaces according to minimum dependence. Furthermore, the disclosure describes how the sub-metrics are constructed and combined to form a global metric.
摘要翻译：本公开描述了具有特征分解（DMLFD）的各种示例性系统，计算机程序产品和用于特征距离度量学习的方法。本公开描述了根据最小依赖性将高维特征空间分解为一个或多个低维特征空间。此外，本公开描述如何构建和组合子度量以形成全局度量。

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