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公开(公告)号：US20140079316A1
公开(公告)日：2014-03-20
申请号：US14028833
申请日：2013-09-17
Applicant: Raytheon BBN Technologies Corp.
Inventor： Shiv N. Vitaladevuni , Rohit Prasad , Premkumar Natarajan
IPC: G06T7/00
CPC classification number: G06T7/0079 , G06K9/34 , G06K9/469 , G06K2209/01 , G06T7/11 , G06T7/162 , G06T2207/20081 , G06T2207/30176
Abstract: An approach to segmentation or clustering of a set of elements combines separate procedures and uses training data for those procedures on labeled data. This approach is applied to elements being components of an image of text (e.g., printed or handwritten). In some examples, the elements are connected sets of pixels. In images of text, the clusters can correspond to individual lines. The approach provides improved clustering performance as compared to any one of the procedures taken alone.
Abstract translation: 一组元素的分割或聚类方法组合了单独的过程，并使用标记数据上的那些程序的训练数据。 该方法适用于作为文本图像（例如，打印或手写）的组件的元素。 在一些示例中，元素是连接的像素集合。 在文本的图像中，群集可以对应于单独的行。 与单独采用的任何一个步骤相比，该方法提供了改进的聚类性能。
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Patent Agency Ranking
2.发明授权Image analysis using coefficient distributions with selective basis feature representation 有权使用具有选择性基函数表示的系数分布的图像分析公开(公告)号：US08861872B2
公开(公告)日：2014-10-14
申请号：US13668886
申请日：2012-11-05
Applicant: Raytheon BBN Technologies Corp.
Inventor： Shiv N. Vitaladevuni , Pradeep Natarajan , Rohit Prasad , Premkumar Natarajan
CPC classification number: G06K9/6267 , G06K9/4671 , G06K9/6249 , G06K2009/4695
Abstract: Distributional information for a set of α vectors is determined using a sparse basis selection approach to representing an input image or video. In some examples, this distributional information is used for a classification task.
Abstract translation: 使用稀疏基础选择方法来确定一组α向量的分布信息来表示输入图像或视频。 在一些示例中，该分配信息用于分类任务。
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公开(公告)号：US09224207B2
公开(公告)日：2015-12-29
申请号：US14028833
申请日：2013-09-17
Applicant: Raytheon BBN Technologies Corp.
Inventor： Shiv N. Vitaladevuni , Rohit Prasad , Premkumar Natarajan
CPC classification number: G06T7/0079 , G06K9/34 , G06K9/469 , G06K2209/01 , G06T7/11 , G06T7/162 , G06T2207/20081 , G06T2207/30176
Abstract: An approach to segmentation or clustering of a set of elements combines separate procedures and uses training data for those procedures on labeled data. This approach is applied to elements being components of an image of text (e.g., printed or handwritten). In some examples, the elements are connected sets of pixels. In images of text, the clusters can correspond to individual lines. The approach provides improved clustering performance as compared to any one of the procedures taken alone.
Abstract translation: 一组元素的分割或聚类方法组合了单独的过程，并使用标记数据上的那些程序的训练数据。 该方法适用于作为文本图像（例如，打印或手写）的组件的元素。 在一些示例中，元素是连接的像素集合。 在文本的图像中，群集可以对应于单独的行。 与单独采用的任何一个步骤相比，该方法提供了改进的聚类性能。
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公开(公告)号：US08953892B2
公开(公告)日：2015-02-10
申请号：US13668582
申请日：2012-11-05
Applicant: Raytheon BBN Technologies Corp.
Inventor： Shiv N. Vitaladevuni , Pradeep Natarajan , Rohit Prasad , Premkumar Natarajan
CPC classification number: G06F17/10 , G06F17/16 , G06K9/00711 , G06K9/6247
Abstract: A computationally efficient approach to determining inner products between feature vectors is provided that eliminates or reduces the need for multiplication, and more specifically, provides an efficient and accurate basis selection for techniques such as Orthogonal Matching Pursuit.
Abstract translation: 提供了一种计算有效的方法来确定特征向量之间的内积，消除或减少对乘法的需要，更具体地说，为诸如正交匹配追求的技术提供了有效和准确的基础选择。
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公开(公告)号：US20140126824A1
公开(公告)日：2014-05-08
申请号：US13668582
申请日：2012-11-05
Applicant: Raytheon BBN Technologies Corp.
Inventor： Shiv N. Vitaladevuni , Pradeep Natarajan , Rohit Prasad , Premkumar Natarajan
IPC: G06K9/46
CPC classification number: G06F17/10 , G06F17/16 , G06K9/00711 , G06K9/6247
Abstract: A computationally efficient approach to determining inner products between feature vectors is provided that eliminates or reduces the need for multiplication, and more specifically, provides an efficient and accurate basis selection for techniques such as Orthogonal Matching Pursuit.
Abstract translation: 提供了一种计算有效的方法来确定特征向量之间的内积，消除或减少对乘法的需要，更具体地说，为诸如正交匹配追求的技术提供了有效和准确的基础选择。
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6.发明申请IMAGE ANALYSIS USING COEFFICIENT DISTRIBUTIONS WITH SELECTIVE BASIS FEATURE REPRESENTATION 有权使用具有选择性基础特征表示的系数分布的图像分析公开(公告)号：US20140126817A1
公开(公告)日：2014-05-08
申请号：US13668886
申请日：2012-11-05
Applicant: Raytheon BBN Technologies Corp.
Inventor： Shiv N. Vitaladevuni , Pradeep Natarajan , Rohit Prasad , Premkumar Natarajan
IPC: G06K9/62
CPC classification number: G06K9/6267 , G06K9/4671 , G06K9/6249 , G06K2009/4695
Abstract: Distributional information for a set of α vectors is determined using a sparse basis selection approach to representing an input image or video. In some examples, this distributional information is used for a classification task.
Abstract translation: 使用稀疏基础选择方法来确定一组α向量的分布信息来表示输入图像或视频。 在一些示例中，该分配信息用于分类任务。
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