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91. 发明申请

US20150294193A1 RECOGNITION APPARATUS AND RECOGNITION METHOD 有权
标题翻译：识别装置和识别方法
公开(公告)号：US20150294193A1
公开(公告)日：2015-10-15
申请号：US14685427
申请日：2015-04-13
申请人： Canon Kabushiki Kaisha
发明人： Shunta Tate , Katsuhiko Mori , Masakazu Matsugu
IPC分类号： G06K9/62 , G06K9/46
CPC分类号： G06K9/4642 , B60C9/00 , B60Q9/00 , G01C21/3691 , G06K9/00785 , G06K9/6202 , G06K9/6215 , G06K9/6262 , G06K9/6276 , G08G1/0112 , G08G1/0129 , G08G1/0141 , G08G1/09626
摘要： A recognition apparatus according to an embodiment of the present invention includes: a candidate region extraction unit configured to extract a subject candidate region from an image; a feature value extraction unit configured to extract a feature value related to an attribute of the image from the subject candidate region extracted by the candidate region extraction unit; an attribute determination unit configured to determine an attribute of the subject candidate region extracted by the candidate region extraction unit on the basis of the feature value extracted by the feature value extraction unit; and a determination result integration unit configured to identify an attribute of the image by integrating determination results of the attribute determination unit.
摘要翻译：根据本发明实施例的识别装置包括：候选区域提取单元，被配置为从图像中提取对象候选区域; 特征值提取单元，被配置为从候选区域提取单元提取的对象候选区域中提取与图像的属性相关的特征值; 属性确定单元，被配置为基于由特征值提取单元提取的特征值来确定由候选区域提取单元提取的对象候选区域的属性; 以及确定结果集成单元，被配置为通过对属性确定单元的确定结果进行积分来识别图像的属性。

92. 发明授权

US09152870B2 Computer vision as a service 有权
标题翻译：计算机视觉服务
公开(公告)号：US09152870B2
公开(公告)日：2015-10-06
申请号：US14212237
申请日：2014-03-14
申请人： SRI International
发明人： Harpreet Singh Sawhney , Jayakrishan Eledath , Saad Ali , Bogdan C. Matei , Steven S. Weiner , Xutao Lv
IPC分类号： G06K9/66 , G06K9/00 , G06K9/62
CPC分类号： G06K9/6262 , G06K9/00979 , G06K9/6218 , G06K9/6253 , G06K9/66
摘要： A computer vision service includes technologies to, among other things, analyze computer vision or learning tasks requested by computer applications, select computer vision or learning algorithms to execute the requested tasks based on one or more performance capabilities of the computer vision or learning algorithms, perform the computer vision or learning tasks for the computer applications using the selected algorithms, and expose the results of performing the computer vision or learning tasks for use by the computer applications.
摘要翻译：计算机视觉服务包括技术，以分析计算机视觉或计算机应用所要求的学习任务，选择计算机视觉或学习算法，以基于计算机视觉或学习算法的一个或多个性能能力执行所请求的任务，执行计算机视觉或使用所选算法的计算机应用程序的学习任务，并公开执行计算机视觉或学习任务的结果以供计算机应用使用。

93. 发明申请

US20150278979A1 AUTOMATIC IMAGE SELECTING APPARATUS AND METHOD 有权
标题翻译：自动图像选择装置和方法
公开(公告)号：US20150278979A1
公开(公告)日：2015-10-01
申请号：US14672796
申请日：2015-03-30
申请人： Samsung Electronics Co., Ltd.
发明人： Yun Hong Min , In Chul Song , Ba Rom Jeon , Hee Youl Choi
IPC分类号： G06T1/00 , G06K9/00
CPC分类号： G06T1/0007 , G06K9/00523 , G06K9/00671 , G06K9/00684 , G06K9/6262
摘要： An automatic image selecting apparatus including an image receiver configured to receive an image; a feature extractor configured to extract a feature from the image; and a category determiner configured to determine whether the extracted feature matches predetermined category identification reference data used for determining whether to store the image.
摘要翻译：一种自动图像选择装置，包括被配置为接收图像的图像接收器; 特征提取器，被配置为从图像中提取特征; 以及类别确定器，被配置为确定所提取的特征是否匹配用于确定是否存储图像的预定类别识别参考数据。

94. 发明申请

US20150220806A1 INTELLIGENT DETERMINATION OF AESTHETIC PREFERENCES BASED ON USER HISTORY AND PROPERTIES 有权
标题翻译：基于用户历史和性质的智能优选智能决定
公开(公告)号：US20150220806A1
公开(公告)日：2015-08-06
申请号：US14610955
申请日：2015-01-30
申请人： WiffleDan Inc. DBA Vhoto, Inc.
发明人： Noah Raymond HELLER , James Theodore BARTOT , David Ballantyne CHRISTIANSON , Jason Hayes CHRISTENSEN , Schuyler CULLEN , Hugh CREAN , Navdeep Singh DHILLON , Samuel JS FU , Craig Bruce HORMAN
IPC分类号： G06K9/46 , G06F17/30 , G06K9/78 , G06T7/00 , G06T1/00 , G06K9/62
CPC分类号： G06K9/4676 , G06F17/30247 , G06F17/30268 , G06F17/3053 , G06F17/30867 , G06K9/6262 , G06K9/6263 , G06K2009/6213
摘要： Techniques for selecting a digital image are disclosed. The techniques may include receiving a first set of digital images, analyzing the first set of digital images to extract first image features from each of the first set of digital images, accessing a user profile, comparing the extracted first image features to a preset list of image features, ranking each digital image of the first set, selecting each digital image having a ranking that exceeds a threshold, assigning a category to each selected digital image based on a comparison of each selected digital image to a category database of digital image categories, displaying each selected digital image with the assigned category, receiving an input from the user in response to the displaying, updating the user profile and the category database based on the input, and selecting at least one subsequent digital image based on the updated user profile and category database.
摘要翻译：公开了用于选择数字图像的技术。技术可以包括接收第一组数字图像，分析第一组数字图像以从第一组数字图像中的每一个提取第一图像特征，访问用户简档，将提取的第一图像特征与预设的图像特征，对第一组的每个数字图像进行排序，选择具有超过阈值的排名的每个数字图像;基于每个所选择的数字图像与数字图像类别的类别数据库的比较，将类别分配给每个所选择的数字图像; 以分配的类别显示每个所选择的数字图像，响应于显示，基于输入更新用户简档和类别数据库，从用户接收输入，以及基于更新的用户简档选择至少一个后续数字图像，以及类别数据库。

95. 发明申请

US20150161172A1 Image Relevance Model 有权
标题翻译：图像相关性模型
公开(公告)号：US20150161172A1
公开(公告)日：2015-06-11
申请号：US13966737
申请日：2013-08-14
申请人： Google Inc
发明人： Samy Bengio , Erik Murphy-Chutorian , Yangli Hector Yee , Charles J. Rosenberg
IPC分类号： G06F17/30
CPC分类号： G06F17/30256 , G06F17/30271 , G06K9/6223 , G06K9/6262
摘要： Methods, systems, and apparatus, including computer program products, for identifying images relevant to a query are disclosed. An image search subsystem selects images to reference in image search results that are responsive to a query based on an image relevance model that is trained for the query. An independent image relevance model is trained for each unique query that is identified by the image search subsystem. The image relevance models can be applied to images to order image search results obtained for the query. Each relevance model is trained based on content feature values of images that are identified as being relevant to the query (e.g., frequently selected from the image search results) and images that are identified as being relevant to another unique query. The trained model is applied to the content feature values of all known images to generate an image relevance score that can be used to order search results for the query.
摘要翻译：公开了用于识别与查询相关的图像的方法，系统和装置，包括计算机程序产品。图像搜索子系统基于针对查询进行训练的图像相关性模型，在响应于查询的图像搜索结果中选择图像进行参考。对由图像搜索子系统识别的每个唯一查询训练独立的图像相关性模型。图像相关性模型可以应用于图像以订购为查询获得的图像搜索结果。基于被识别为与查询相关（例如，从图像搜索结果中频繁选择）的图像的内容特征值以及被识别为与另一唯一查询相关的图像来训练每个相关性模型。经过训练的模型被应用于所有已知图像的内容特征值，以生成可用于对查询进行搜索结果的图像相关性分数。

97. 发明申请

US20150134494A1 EXTRACTION OF BODY DIMENSIONS FROM PLANAR GARMENT PHOTOGRAPHS OF FITTING GARMENTS 审中-公开
标题翻译：从配套服装的平面照相中提取身体尺寸
公开(公告)号：US20150134494A1
公开(公告)日：2015-05-14
申请号：US14474003
申请日：2014-08-29
申请人： Jonathan Su , Mihir Naware , Jatin Chhugani
发明人： Jonathan Su , Mihir Naware , Jatin Chhugani
IPC分类号： G06Q30/06 , G06T19/00
CPC分类号： G06T17/20 , A41H1/00 , A41H3/007 , G06F17/5009 , G06F2217/04 , G06F2217/32 , G06K9/6262 , G06Q30/0643 , G06T15/005 , G06T17/00 , G06T17/10 , G06T19/00 , G06T19/20 , G06T2210/16 , G06T2215/16
摘要： Techniques for extraction of body parameters, dimensions and shape of a customer are presented herein. A model descriptive of a garment, a corresponding calibration factor and reference garment shapes can be assessed. A garment shape corresponding to the three-dimensional model can be selected from the reference garment shapes based on a comparison of the three-dimensional model with the reference garment shapes. A reference feature from the plurality of reference features may be associated with the model feature. A measurement of the reference feature may be calculated based on the association and the calibration factor. The computed measurement can be stored in a body profile associated with a user. An avatar can be generated for the user based on the body profile and be used to show or indicate fit of a garment, as well as make fit and size recommendations.
摘要翻译：本文介绍了用于提取身体参数，尺寸和形状的技术。可以评估描述服装的模型，相应的校准因子和参考服装形状。基于三维模型与参考服装形状的比较，可以从参考服装形状中选择与三维模型相对应的服装形状。来自多个参考特征的参考特征可以与模型特征相关联。可以基于关联和校准因子来计算参考特征的测量。计算的测量可以存储在与用户相关联的身体轮廓中。可以基于身体轮廓为用户生成头像，并且用于显示或指示服装的适合性，以及适合和尺寸建议。

98. 发明申请

US20150130795A1 GARMENT SIMULATION USING THREAD AND DATA LEVEL PARALLELISM 有权
标题翻译：使用螺纹和数据级并行的服装模拟
公开(公告)号：US20150130795A1
公开(公告)日：2015-05-14
申请号：US14530636
申请日：2014-10-31
申请人： eBay Inc.
发明人： Jatin Chhugani , Jonathan Su , Mihir Naware
IPC分类号： G06T19/20 , G06T15/00 , G06T17/20 , G06Q30/06
CPC分类号： G06T17/20 , A41H1/00 , A41H3/007 , G06F17/5009 , G06F2217/04 , G06F2217/32 , G06K9/6262 , G06Q30/0643 , G06T15/005 , G06T17/00 , G06T17/10 , G06T19/00 , G06T19/20 , G06T2210/16 , G06T2215/16
摘要： Techniques for three-dimensional garment simulation using parallel computing are presented herein. An access module can be configured to access a three-dimensional garment model of a garment. The garment model can include garment points that represent a surface of the garment. A processor, having a plurality of cores, can be configured by a garment simulation module to calculate one or more exerted forces on a subset of garment points. Additionally, the garment simulation module can generate cross pairs and apportion the generated cross pairs among the plurality of cores. Moreover, the garment simulation module can determine, using the plurality of vector execution units in parallel based on an organized data layout, whether boundaries of the first subgroup of cross pairs are overlapping based on the one or more exerted forces. Subsequently, the garment simulation module can calculate one or more simulated forces acting on the garment points based on the determination.
摘要翻译：本文介绍了使用并行计算的三维服装仿真技术。访问模块可以被配置为访问服装的三维服装模型。服装模型可以包括代表服装表面的衣服点。具有多个芯的处理器可以由衣服模拟模块来配置以计算服装点子集上的一个或多个施加的力。此外，服装模拟模块可以产生交叉对并且分配在多个核心之间产生的交叉对。此外，服装模拟模块可以基于有组织的数据布局来确定并行地使用多个向量执行单元，基于一个或多个施加的力量，交叉对的第一子组的边界是否重叠。随后，服装仿真模块可以基于该确定来计算作用在服装点上的一个或多个模拟力。

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