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1. 发明授权

US08081842B2 Image resizing for web-based image search 有权
标题翻译：基于Web的图像搜索的图像大小调整
公开(公告)号：US08081842B2
公开(公告)日：2011-12-20
申请号：US12113007
申请日：2008-04-30
申请人： Yan Lu , Feng Wu , Richard Qian , Heung-Yeung Shum
发明人： Yan Lu , Feng Wu , Richard Qian , Heung-Yeung Shum
IPC分类号： G06K9/32 , G06K9/46 , G06F15/00 , G09G5/00
CPC分类号： H04N19/625 , H04N19/132 , H04N19/14 , H04N19/172 , H04N19/587 , H04N19/59 , H04N19/85 , H04N19/86 , H04N19/90
摘要： Image resizing for web-based searching is described. In one implementation, a system resizes a user-selected thumbnail image into a larger version of the image that emulates the quality of a large, original image, but without downloading the original image. First, the system extracts resizing parameters when each thumbnail image is created. Then, the system creates a codebook of primitive visual elements extracted from a collection of training images. The primitive visual elements in the codebook provide universal visual parts for reconstructing images. The codebook and a resizing plug-in can be sent once to the user over a background channel. When the user selects a thumbnail image for enlargement, the system resizes the thumbnail image via interpolation and then refines the enlarged image with primitive visual elements from the codebook. The refinement creates an enlarged image that emulates the quality of the large, original image, without downloading the original image.
摘要翻译：描述了基于Web的搜索的图像调整大小。在一个实现中，系统将用户选择的缩略图图像调整为模拟大的原始图像的质量但不下载原始图像的图像的较大版本。首先，当创建每个缩略图时，系统提取调整大小的参数。然后，系统创建从训练图像的集合中提取的原始视觉元素的码本。码本中的原始视觉元素提供了用于重建图像的通用视觉部件。码本和调整大小的插件可以通过背景频道一次发送给用户。当用户选择缩放图像进行放大时，系统通过插值重新调整缩略图的大小，然后用码本中的原始视觉元素对放大图像进行细化。细化创建一个放大的图像，可以模拟大型原始图像的质量，而无需下载原始图像。

2. 发明申请

US20120045118A1 IMAGE RESIZING FOR WEB-BASED IMAGE SEARCH 有权
标题翻译：基于WEB的图像搜索的图像调整
公开(公告)号：US20120045118A1
公开(公告)日：2012-02-23
申请号：US13286111
申请日：2011-10-31
申请人： Yan Lu , Feng Wu , Richard Qian , Heung-Yeung Shum
发明人： Yan Lu , Feng Wu , Richard Qian , Heung-Yeung Shum
IPC分类号： G06K9/62
CPC分类号： H04N19/625 , H04N19/132 , H04N19/14 , H04N19/172 , H04N19/587 , H04N19/59 , H04N19/85 , H04N19/86 , H04N19/90
摘要： Image resizing for web-based searching is described. In one implementation, a system resizes a user-selected thumbnail image into a larger version of the image that emulates the quality of a large, original image, but without downloading the original image. First, the system extracts resizing parameters when each thumbnail image is created. Then, the system creates a codebook of primitive visual elements extracted from a collection of training images. The primitive visual elements in the codebook provide universal visual parts for reconstructing images. The codebook and a resizing plug-in can be sent once to the user over a background channel. When the user selects a thumbnail image for enlargement, the system resizes the thumbnail image via interpolation and then refines the enlarged image with primitive visual elements from the codebook. The refinement creates an enlarged image that emulates the quality of the large, original image, without downloading the original image.
摘要翻译：描述了基于Web的搜索的图像调整大小。在一个实现中，系统将用户选择的缩略图图像调整为模拟大的原始图像的质量但不下载原始图像的图像的较大版本。首先，当创建每个缩略图时，系统提取调整大小的参数。然后，系统创建从训练图像的集合中提取的原始视觉元素的码本。码本中的原始视觉元素提供了用于重建图像的通用视觉部件。码本和调整大小的插件可以通过背景频道一次发送给用户。当用户选择缩放图像进行放大时，系统通过插值重新调整缩略图的大小，然后用码本中的原始视觉元素对放大图像进行细化。细化创建一个放大的图像，可以模拟大型原始图像的质量，而无需下载原始图像。

3. 发明申请

US20090252431A1 Image Resizing for Web-based Image Search 有权
标题翻译：基于Web的图像搜索的图像调整大小
公开(公告)号：US20090252431A1
公开(公告)日：2009-10-08
申请号：US12113007
申请日：2008-04-30
申请人： Yan Lu , Feng Wu , Richard Qian , Heung-Yeung Shum
发明人： Yan Lu , Feng Wu , Richard Qian , Heung-Yeung Shum
IPC分类号： G06K9/36
CPC分类号： H04N19/625 , H04N19/132 , H04N19/14 , H04N19/172 , H04N19/587 , H04N19/59 , H04N19/85 , H04N19/86 , H04N19/90
摘要： Image resizing for web-based searching is described. In one implementation, a system resizes a user-selected thumbnail image into a larger version of the image that emulates the quality of a large, original image, but without downloading the original image. First, the system extracts resizing parameters when each thumbnail image is created. Then, the system creates a codebook of primitive visual elements extracted from a collection of training images. The primitive visual elements in the codebook provide universal visual parts for reconstructing images. The codebook and a resizing plug-in can be sent once to the user over a background channel. When the user selects a thumbnail image for enlargement, the system resizes the thumbnail image via interpolation and then refines the enlarged image with primitive visual elements from the codebook. The refinement creates an enlarged image that emulates the quality of the large, original image, without downloading the original image.
摘要翻译：描述了基于Web的搜索的图像调整大小。在一个实现中，系统将用户选择的缩略图图像调整为模拟大的原始图像的质量但不下载原始图像的图像的较大版本。首先，当创建每个缩略图时，系统提取调整大小的参数。然后，系统创建从训练图像的集合中提取的原始视觉元素的码本。码本中的原始视觉元素提供了用于重建图像的通用视觉部件。码本和调整大小的插件可以通过背景频道一次发送给用户。当用户选择缩放图像进行放大时，系统通过插值重新调整缩略图的大小，然后用码本中的原始视觉元素对放大图像进行细化。细化创建一个放大的图像，可以模拟大型原始图像的质量，而无需下载原始图像。

4. 发明授权

US08270772B2 Image resizing for web-based image search 有权
标题翻译：基于Web的图像搜索的图像大小调整
公开(公告)号：US08270772B2
公开(公告)日：2012-09-18
申请号：US13286111
申请日：2011-10-31
申请人： Yan Lu , Feng Wu , Richard J. Qian , Heung-Yeung Shum
发明人： Yan Lu , Feng Wu , Richard J. Qian , Heung-Yeung Shum
IPC分类号： G06K9/32 , G06K9/36 , G06K15/02 , G09G5/00
CPC分类号： H04N19/625 , H04N19/132 , H04N19/14 , H04N19/172 , H04N19/587 , H04N19/59 , H04N19/85 , H04N19/86 , H04N19/90
摘要： Image resizing for web-based searching is described. In one implementation, a system resizes a user-selected thumbnail image into a larger version of the image that emulates the quality of a large, original image, but without downloading the original image. First, the system extracts resizing parameters when each thumbnail image is created. Then, the system creates a codebook of primitive visual elements extracted from a collection of training images. The primitive visual elements in the codebook provide universal visual parts for reconstructing images. The codebook and a resizing plug-in can be sent once to the user over a background channel. When the user selects a thumbnail image for enlargement, the system resizes the thumbnail image via interpolation and then refines the enlarged image with primitive visual elements from the codebook. The refinement creates an enlarged image that emulates the quality of the large, original image, without downloading the original image.
摘要翻译：描述了基于Web的搜索的图像调整大小。在一个实现中，系统将用户选择的缩略图图像调整为模拟大的原始图像的质量但不下载原始图像的图像的较大版本。首先，当创建每个缩略图时，系统提取调整大小的参数。然后，系统创建从训练图像的集合中提取的原始视觉元素的码本。码本中的原始视觉元素提供了用于重建图像的通用视觉部件。码本和调整大小的插件可以通过背景频道一次发送给用户。当用户选择缩放图像进行放大时，系统通过插值重新调整缩略图的大小，然后用码本中的原始视觉元素对放大图像进行细化。细化创建一个放大的图像，可以模拟大型原始图像的质量，而无需下载原始图像。

5. 发明授权

US08773423B2 Creating optimized gradient mesh of a vector-based image from a raster-based image 有权
标题翻译：从基于光栅的图像创建基于矢量的图像的优化梯度网格
公开(公告)号：US08773423B2
公开(公告)日：2014-07-08
申请号：US11800680
申请日：2007-05-07
申请人： Jian Sun , Lin Liang , Fang Wen , Heung-Yeung Shum
发明人： Jian Sun , Lin Liang , Fang Wen , Heung-Yeung Shum
IPC分类号： G06T15/00
CPC分类号： G06T17/20
摘要： A method for creating an optimized gradient mesh of a vector-based image from a raster-based image. In one implementation, a set of boundaries for an object on a raster-based image may be received. An initial gradient mesh of the object may be created. A residual energy between the object on the raster-based image and a rendered initial gradient mesh may be minimized to generate an optimized gradient mesh.
摘要翻译：一种用于从基于光栅的图像创建基于矢量的图像的优化梯度网格的方法。在一个实现中，可以接收基于光栅的图像上的对象的一组边界。可以创建对象的初始渐变网格。基于光栅的图像上的对象与渲染的初始梯度网格之间的剩余能量可以被最小化以生成优化的梯度网格。

6. 发明授权

US08498455B2 Scalable face image retrieval 有权
标题翻译：可扩展的面部图像检索
公开(公告)号：US08498455B2
公开(公告)日：2013-07-30
申请号：US12792750
申请日：2010-06-03
申请人： Qifa Ke , Yi Li , Heung-Yeung Shum , Jian Sun , Zhong Wu
发明人： Qifa Ke , Yi Li , Heung-Yeung Shum , Jian Sun , Zhong Wu
IPC分类号： G06K9/00
CPC分类号： G06K9/4676 , G06K9/00281
摘要： A system for identifying individuals in digital images and for providing matching digital images is provided. A set of images that include faces of known individuals is received. Faces are detected in the images and facial components are identified in each face. Visual words corresponding to the facial components are generated, stored, and associated with identifiers of the individuals. At a later time, a user may provide an image that includes the face of one of the known individuals. Visual words are determined from the face of the individual in the provided image and matched against the stored visual words. Images associated with matching visual words are ranked and presented to the user.
摘要翻译：提供了一种用于识别数字图像中的个体并提供匹配的数字图像的系统。接收包括已知个人面孔的一组图像。在图像中检测到面部，并且在每个面部中识别面部组件。对应于面部组件的视觉词被生成，存储并与个人的标识符相关联。在稍后的时间，用户可以提供包括已知个体之一的脸部的图像。视觉词是从提供的图像中的个体的脸部确定的，并且与存储的视觉词匹配。与匹配的视觉词相关联的图像被排序并呈现给用户。

7. 发明授权

US08326820B2 Long-query retrieval 有权
标题翻译：长查询检索
公开(公告)号：US08326820B2
公开(公告)日：2012-12-04
申请号：US12571302
申请日：2009-09-30
申请人： Zhiwei Li , Lei Zhang , Rui Cai , Wei-Ying Ma , Heung-Yeung Shum
发明人： Zhiwei Li , Lei Zhang , Rui Cai , Wei-Ying Ma , Heung-Yeung Shum
IPC分类号： G06F17/30
CPC分类号： G06F17/3028 , G06F17/30448
摘要： Described herein is a technology that facilitates efficient large-scale similarity-based retrieval. In several embodiments documents, images, and/or other multimedia files are compactly represented and efficiently indexed to enable robust search using a long-query in a large-scale corpus. As described herein, these techniques include performing decomposition of a file, e.g., a document or document-like representation. The techniques use dimension reduction to obtain three parts, topic-related words (major semantics), document specific words (minor semantics), and background words, representing the major semantics in a feature vector and the minor semantics as keywords. Using the techniques described, file vectors are matched in a topic model and the results ranked based on the keywords.
摘要翻译：这里描述了一种有助于有效的大规模相似性检索的技术。在几个实施例中，文档，图像和/或其他多媒体文件被紧凑地表示并且被有效地索引，以使得能够使用大规模语料库中的长查询进行鲁棒搜索。如这里所述，这些技术包括执行文件的分解，例如文档或类似文档的表示。这些技术使用维度缩减来获得三个部分，主题相关词（主要语义），文档特定词（次要语义）和背景词，表示特征向量中的主要语义和次要语义作为关键字。使用所描述的技术，在主题模型中匹配文件向量，并根据关键字对结果进行排名。

8. 发明申请

US20120233209A1 ENTERPRISE SEARCH OVER PRIVATE AND PUBLIC DATA 有权
标题翻译：企业在私人和公共数据中搜索
公开(公告)号：US20120233209A1
公开(公告)日：2012-09-13
申请号：US13044414
申请日：2011-03-09
申请人： Lili Cheng , Xuedong David Huang , Heung-Yeung Shum , Erik J. Horvitz , James H. Lewallen , Todd D. Newman , David S. Taniguchi
发明人： Lili Cheng , Xuedong David Huang , Heung-Yeung Shum , Erik J. Horvitz , James H. Lewallen , Todd D. Newman , David S. Taniguchi
IPC分类号： G06F17/30 , G06F15/16
CPC分类号： G06F17/30312
摘要： A unified search service may collect information related to an enterprise from at least one of publicly available data and private enterprise data. In some implementations, crowd sourcing may be used to determine a source list of one or more sources of information. Authored content can be generated, such as by combining one or more items of information from the public data with one or more items of information from the private enterprise data. Further, in some implementations, a public index may be generated from the public data, and one or more affiliation indexes may be generated from the private enterprise data. For example, a first affiliation index may contain confidential enterprise information, while a second affiliation index may contain non-confidential enterprise information. A user's affiliation to the enterprise may be taken into consideration when determining which indexes to use when responding to a search request from the user.
摘要翻译：统一搜索服务可以从公开数据和私有企业数据中的至少一个收集与企业相关的信息。在一些实施方式中，群体来源可用于确定一个或多个信息源的源列表。可以生成创作内容，例如通过将来自公共数据的一个或多个信息项目与来自私人企业数据的一个或多个信息项组合。此外，在一些实现中，可以从公共数据生成公共索引，并且可以从私有企业数据生成一个或多个附属索引。例如，第一附属索引可以包含机密企业信息，而第二隶属关系索引可以包含非机密企业信息。当确定在响应来自用户的搜索请求时使用哪些索引时，可以考虑用户与企业的联系。

9. 发明授权

US08190403B2 Real-time rendering of light-scattering media 有权
标题翻译：实时渲染光散射介质
公开(公告)号：US08190403B2
公开(公告)日：2012-05-29
申请号：US11830794
申请日：2007-07-30
申请人： Kun Zhou , Zhong Ren , Stephen Ssu-te Lin , Baining Guo , Heung-Yeung Shum
发明人： Kun Zhou , Zhong Ren , Stephen Ssu-te Lin , Baining Guo , Heung-Yeung Shum
IPC分类号： G06F17/10
CPC分类号： G06T15/55
摘要： A real-time algorithm for rendering of an inhomogeneous scattering media such as smoke under dynamic low-frequency environment lighting is described. An input media animation is represented as a sequence of density fields, each of which is decomposed into a weighted sum of a set of radial basis functions (RBFs) and an optional residual field. Source radiances from single and optionally multiple scattering are directly computed at only the RBF centers and then approximated at other points in the volume using an RBF-based interpolation. Unique approximation techniques are introduced in the computational algorithms to simplify and speed up the computation of source radiance contributed by single and multiple scattering. Using the computed source radiances, a ray marching technique using slice-based integration of radiance along each viewing ray may be performed to render the final image.
摘要翻译：描述了在动态低频环境照明下渲染非均匀散射介质（如烟雾）的实时算法。输入媒体动画被表示为密度字段序列，每个密度字段被分解成一组径向基函数（RBF）和可选残余字段的加权和。仅从RBF中心直接计算来自单个和任选多个散射的源辐射，然后使用基于RBF的插值在体积中的其他点处近似。在计算算法中引入了独特的近似技术，以简化和加快由单次和多次散射贡献的源辐射的计算。使用计算的源辐射，可以执行使用沿着每个观察射线的基于片段的辐射积分的射线行进技术来渲染最终图像。

10. 发明申请

US20110299743A1 SCALABLE FACE IMAGE RETRIEVAL 有权
标题翻译：可扩展的脸部图像检索
公开(公告)号：US20110299743A1
公开(公告)日：2011-12-08
申请号：US12792750
申请日：2010-06-03
申请人： Qifa Ke , Yi Li , Heung-Yeung Shum , Jian Sun , Zhong Wu
发明人： Qifa Ke , Yi Li , Heung-Yeung Shum , Jian Sun , Zhong Wu
IPC分类号： G06T7/00
CPC分类号： G06K9/4676 , G06K9/00281
摘要： A system for identifying individuals in digital images and for providing matching digital images is provided. A set of images that include faces of known individuals is received. Faces are detected in the images and facial components are identified in each face. Visual words corresponding to the facial components are generated, stored, and associated with identifiers of the individuals. At a later time, a user may provide an image that includes the face of one of the known individuals. Visual words are determined from the face of the individual in the provided image and matched against the stored visual words. Images associated with matching visual words are ranked and presented to the user.
摘要翻译：提供了一种用于识别数字图像中的个体并提供匹配的数字图像的系统。接收包括已知个人面孔的一组图像。在图像中检测到面部，并且在每个面部中识别面部组件。对应于面部组件的视觉词被生成，存储并与个人的标识符相关联。在稍后的时间，用户可以提供包括已知个体之一的脸部的图像。视觉词是从提供的图像中的个体的脸部确定的，并且与存储的视觉词匹配。与匹配视觉词相关联的图像被排序并呈现给用户。

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