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公开(公告)号：US20210295503A1
公开(公告)日：2021-09-23
申请号：US17191921
申请日：2021-03-04
发明人： Russell H. Amundson , Saurabh Bhargava , Rama Krishna Singh , Ravi Pande , Vishwakant Gupta , Destiny L. Babjack , Gaurav Mantri , Abhinav Agrawal , Sapeksh Suman
摘要： Systems and methods are configured to extract images from provided source data files and to preprocess such images for content-based image analysis. An image analysis system applies one or more machine-learning based models for identifying specific features within analyzed images, and for determining one or more measurements based at least in part on the identified features. Such measurements may be embodied as absolute measurements for determining an absolute distance between features, or relative measurements for determining a relative relationship between features. The determined measurements are input into one or more machine-learning based models for determining a classification for the image.
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公开(公告)号：US12131475B2
公开(公告)日：2024-10-29
申请号：US17191868
申请日：2021-03-04
发明人： Russell H. Amundson , Saurabh Bhargava , Rama Krishna Singh , Ravi Pande , Vishwakant Gupta , Gaurav Mantri , Abhinav Agrawal , Sapeksh Suman
IPC分类号： G06T7/00 , G06F18/2137 , G06F18/24 , G06T3/60 , G06T7/11 , G06T7/33 , G06T7/70 , G06T7/90 , G06V10/764 , G06V10/77 , G16H30/40 , G16H40/67
CPC分类号： G06T7/0014 , G06F18/21375 , G06F18/24 , G06T3/60 , G06T7/0012 , G06T7/11 , G06T7/337 , G06T7/70 , G06T7/90 , G06V10/764 , G06V10/7715 , G16H30/40 , G16H40/67 , G06T2207/10024 , G06T2207/20024 , G06T2207/20081 , G06T2207/20084 , G06T2207/30004 , G06T2207/30012 , G06T2207/30068 , G06T2207/30088 , G06T2207/30096
摘要： Systems and methods are configured for preprocessing of images for further content based analysis thereof. Such images are extracted from a source data file, by standardizing individual pages within a source data file as image data files, and identifying whether the image satisfies applicable size-based criteria, applicable color-based criteria, and applicable content-based criteria, among others, utilizing one or more machine-learning based models. Various systems and methods may identify particular features within the extracted images to facilitate further image-based analysis based on the identified features.
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公开(公告)号：US20210295551A1
公开(公告)日：2021-09-23
申请号：US17191868
申请日：2021-03-04
发明人： Russell H. Amundson , Saurabh Bhargava , Rama Krishna Singh , Ravi Pande , Vishwakant Gupta , Gaurav Mantri , Abhinav Agrawal , Sapeksh Suman
摘要： Systems and methods are configured for preprocessing of images for further content based analysis thereof. Such images are extracted from a source data file, by standardizing individual pages within a source data file as image data files, and identifying whether the image satisfies applicable size-based criteria, applicable color-based criteria, and applicable content-based criteria, among others, utilizing one or more machine-learning based models. Various systems and methods may identify particular features within the extracted images to facilitate further image-based analysis based on the identified features.
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公开(公告)号：US20220245509A1
公开(公告)日：2022-08-04
申请号：US17165444
申请日：2021-02-02
发明人： Ryan Allen , Abhinav Agrawal
摘要： There is a need for more effective and efficient hierarchical clustering. This need can be addressed by, for example, solutions for performing interpretable hierarchical clustering. In one example, a method includes performing a group of hierarchical clustering routines to generate a group of final hierarchical clusters; for each cluster-feature pair of a group of cluster-feature pairs, determining an intra-cluster variable importance measure, an incremental representation measure, and an overall variable importance based at least in part on the intra-cluster variable importance measure the incremental representation measure; generating predicted explanatory metadata for the group of hierarchical clustering routines based at least in part on each overall variable importance measure for each cluster-feature pair of the group of cluster-feature pairs; and performing one or more prediction-based actions based at least in part on the predicted explanatory metadata.
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公开(公告)号：US11869189B2
公开(公告)日：2024-01-09
申请号：US17191921
申请日：2021-03-04
发明人： Russell H. Amundson , Saurabh Bhargava , Rama Krishna Singh , Ravi Pande , Vishwakant Gupta , Destiny L. Babjack , Gaurav Mantri , Abhinav Agrawal , Sapeksh Suman
IPC分类号： G06T7/00 , G16H40/67 , G16H30/40 , G06T7/11 , G06T7/33 , G06T7/90 , G06T7/70 , G06T3/60 , G06F18/24 , G06F18/2137 , G06V10/764 , G06V10/77
CPC分类号： G06T7/0014 , G06F18/21375 , G06F18/24 , G06T3/60 , G06T7/0012 , G06T7/11 , G06T7/337 , G06T7/70 , G06T7/90 , G06V10/764 , G06V10/7715 , G16H30/40 , G16H40/67 , G06T2207/10024 , G06T2207/20024 , G06T2207/20081 , G06T2207/20084 , G06T2207/30004 , G06T2207/30012 , G06T2207/30068 , G06T2207/30088 , G06T2207/30096
摘要： Systems and methods are configured to extract images from provided source data files and to preprocess such images for content-based image analysis. An image analysis system applies one or more machine-learning based models for identifying specific features within analyzed images, and for determining one or more measurements based at least in part on the identified features. Such measurements may be embodied as absolute measurements for determining an absolute distance between features, or relative measurements for determining a relative relationship between features. The determined measurements are input into one or more machine-learning based models for determining a classification for the image.
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公开(公告)号：US20210295504A1
公开(公告)日：2021-09-23
申请号：US17191963
申请日：2021-03-04
发明人： Russell H. Amundson , Saurabh Bhargava , Rama Krishna Singh , Ravi Pande , Vishwakant Gupta , Destiny L. Babjack , Gaurav Mantri , Abhinav Agrawal , Sapeksh Suman
摘要： Systems and methods are configured to extract images from provided source data files and to preprocess such images for content-based image analysis. An image analysis system applies one or more machine-learning based models for identifying specific features within analyzed images, and for determining one or more measurements based at least in part on the identified features. Such measurements may be embodied as absolute measurements for determining an absolute distance between features, or relative measurements for determining a relative relationship between features. The determined measurements are input into one or more machine-learning based models for determining a classification for the image.
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