Patents by Inventor Craig Knoblock
Craig Knoblock has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Patent number: 8953887Abstract: A method for processing geospatial datasets corresponding to geospatial objects, the method having the steps of extracting geospatial attributes from the geospatial datasets, locating extracted geospatial attributes corresponding to a particular geospatial object at a particular point in time, and generating output indicative of the particular geospatial object at the particular point in time utilizing the located geospatial attributes.Type: GrantFiled: December 10, 2010Date of Patent: February 10, 2015Assignee: Terrago Technologies, Inc.Inventors: Ching-Chien Chen, Craig A. Knoblock, Cyrus Shahabi
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Publication number: 20140310066Abstract: Techniques are described for using predictive pricing information for items to assist in evaluating buying and/or selling decisions in various ways, such as on behalf of end-user item acquirers and/or intermediate item providers. The predictive pricing for an item may be based on an analysis of historical pricing information for that item and/or related items, and can be used to make predictions about future pricing information for the item. Such predictions may then be provided to users in various ways to enable comparison of current prices to predicted future prices. In some situations, predictive pricing information is used to assist customers when purchasing airline tickets and/or to assist travel agents when selling airline tickets. This abstract is provided to comply with rules requiring an abstract, and it is submitted with the intention that it will not be used to interpret or limit the scope or meaning of the claims.Type: ApplicationFiled: October 22, 2013Publication date: October 16, 2014Inventors: Oren Etzioni, Alexander Yates, Craig A. Knoblock, Rattapoom Tuchinda
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Patent number: 8675995Abstract: Methods for locating a feature on geospatial imagery and systems for performing those methods are disclosed. An accuracy level of each of a plurality of geospatial vector datasets available in a database can be determined. Each of the plurality of geospatial vector datasets corresponds to the same spatial region as the geospatial imagery. The geospatial vector dataset having the highest accuracy level may be selected. When the selected geospatial vector dataset and the geospatial imagery are misaligned, the selected geospatial vector dataset is aligned to the geospatial imagery. The location of the feature on the geospatial imagery is then determined based on the selected geospatial vector dataset and outputted via a display device.Type: GrantFiled: July 10, 2009Date of Patent: March 18, 2014Assignee: TerraGo Technologies, Inc.Inventors: Ching-Chien Chen, Dipsy Kapoor, Craig A. Knoblock, Cyrus Shahabi
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Patent number: 8670617Abstract: A method, computer program, and system for linking content to individual image features are provided. A section of an image is identified. A plurality of features associated with the section of the image is determined. Each of the plurality of features corresponds to at least one position within the section of the image. Content associated with the plurality of features is retrieved from a content repository. The content is linked to the plurality of features based on at least one rule. The content is then presented.Type: GrantFiled: May 14, 2008Date of Patent: March 11, 2014Assignee: TerraGo Technologies, Inc.Inventors: Craig A. Knoblock, Cyrus Shahabi, Ching-Chien Chen, Dipsy Kapoor
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Patent number: 8635228Abstract: Document relevance is determined with respect to a region of interest (ROI). A set of location references may be associated with a set of documents. The system selects location references associated with an ROI and then selects documents corresponding to the selected location references. The selected documents can be reported or processed further. A document-location reference index can be accessed when the present system is ‘online’ and processing a request for documents relevant to an ROI. The document-location reference index may be generated and updated while the present system is ‘offline’ and not processing a request for documents. The resulting relevant documents may be provided to a user in response to a document search associated with the ROI or along with an advertisement associated with the ROI.Type: GrantFiled: November 16, 2009Date of Patent: January 21, 2014Assignee: Terrago Technologies, Inc.Inventors: Cyrus Shahabi, Craig A. Knoblock, Dipsy Kapoor, Ching-Chien Chen
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Patent number: 8566143Abstract: Techniques are described for using predictive pricing information for items to assist in evaluating buying and/or selling decisions in various ways, such as on behalf of end-user item acquirers and/or intermediate item providers. The predictive pricing for an item may be based on an analysis of historical pricing information for that item and/or related items, and can be used to make predictions about future pricing information for the item. Such predictions may then be provided to users in various ways to enable comparison of current prices to predicted future prices. In some situations, predictive pricing information is used to assist customers when purchasing airline tickets and/or to assist travel agents when selling airline tickets. This abstract is provided to comply with rules requiring an abstract, and it is submitted with the intention that it will not be used to interpret or limit the scope or meaning of the claims.Type: GrantFiled: April 7, 2011Date of Patent: October 22, 2013Assignee: Microsoft CorporationInventors: Oren Etzioni, Alexander Yates, Craig A. Knoblock, Rattapoom Tuchinda
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Patent number: 8340360Abstract: Automatic conflation systems and techniques which provide vector-imagery conflation and map-imagery conflation. Vector-imagery conflation is an efficient approach that exploits knowledge from multiple data sources to identify a set of accurate control points. Vector-imagery conflation provides automatic and accurate alignment of various vector datasets and imagery, and is appropriate for GIS applications, for example, requiring alignment of vector data and imagery over large geographical regions. Map-imagery conflation utilizes common vector datasets as “glue” to automatically integrate street maps with imagery. This approach provides automatic, accurate, and intelligent images that combine the visual appeal and accuracy of imagery with the detailed attribution information often contained in such diverse maps. Both conflation approaches are applicable for GIS applications requiring, for example, alignment of vector data, raster maps, and imagery.Type: GrantFiled: June 10, 2011Date of Patent: December 25, 2012Assignee: University of Southern CaliforniaInventors: Ching-Chien Chen, Dipsy Kapoor, Craig A. Knoblock, Cyrus Shahabi
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Publication number: 20110280453Abstract: Automatic conflation systems and techniques which provide vector-imagery conflation and map-imagery conflation. Vector-imagery conflation is an efficient approach that exploits knowledge from multiple data sources to identify a set of accurate control points. Vector-imagery conflation provides automatic and accurate alignment of various vector datasets and imagery, and is appropriate for GIS applications, for example, requiring alignment of vector data and imagery over large geographical regions. Map-imagery conflation utilizes common vector datasets as “glue” to automatically integrate street maps with imagery. This approach provides automatic, accurate, and intelligent images that combine the visual appeal and accuracy of imagery with the detailed attribution information often contained in such diverse maps. Both conflation approaches are applicable for GIS applications requiring, for example, alignment of vector data, raster maps, and imagery.Type: ApplicationFiled: June 10, 2011Publication date: November 17, 2011Inventors: Ching-Chien Chen, Dipsy Kapoor, Craig A. Knoblock, Cyrus Shahabi
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Publication number: 20110251917Abstract: Techniques are described for using predictive pricing information for items to assist in evaluating buying and/or selling decisions in various ways, such as on behalf of end-user item acquirers and/or intermediate item providers. The predictive pricing for an item may be based on an analysis of historical pricing information for that item and/or related items, and can be used to make predictions about future pricing information for the item. Such predictions may then be provided to users in various ways to enable comparison of current prices to predicted future prices. In some situations, predictive pricing information is used to assist customers when purchasing airline tickets and/or to assist travel agents when selling airline tickets. This abstract is provided to comply with rules requiring an abstract, and it is submitted with the intention that it will not be used to interpret or limit the scope or meaning of the claims.Type: ApplicationFiled: April 7, 2011Publication date: October 13, 2011Applicant: University of WashingtonInventors: Oren Etzioni, Alexander Yates, Craig A. Knoblock, Rattapoom Tuchinda
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Patent number: 7974863Abstract: Techniques are described for using predictive pricing information for items to assist in evaluating buying and/or selling decisions in various ways, such as on behalf of end-user item acquirers and/or intermediate item providers. The predictive pricing for an item may be based on an analysis of historical pricing information for that item and/or related items, and can be used to make predictions about future pricing information for the item. Such predictions may then be provided to users in various ways to enable comparison of current prices to predicted future prices. In some situations, predictive pricing information is used to assist customers when purchasing airline tickets and/or to assist travel agents when selling airline tickets.Type: GrantFiled: March 7, 2008Date of Patent: July 5, 2011Assignee: University of WashingtonInventors: Oren Etzioni, Alexander Yates, Craig A. Knoblock, Rattapoom Tuchinda
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Publication number: 20110142347Abstract: A method for processing geospatial datasets corresponding to geospatial objects, the method having the steps of extracting geospatial attributes from the geospatial datasets, locating extracted geospatial attributes corresponding to a particular geospatial object at a particular point in time, and generating output indicative of the particular geospatial object at the particular point in time utilizing the located geospatial attributes.Type: ApplicationFiled: December 10, 2010Publication date: June 16, 2011Inventors: Ching-Chien Chen, Craig A. Knoblock, Cyrus Shahabi
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Publication number: 20110123066Abstract: Methods for locating a feature on geospatial imagery and systems for performing those methods are disclosed. An accuracy level of each of a plurality of geospatial vector datasets available in a database can be determined. Each of the plurality of geospatial vector datasets corresponds to the same spatial region as the geospatial imagery. The geospatial vector dataset having the highest accuracy level may be selected. When the selected geospatial vector dataset and the geospatial imagery are misaligned, the selected geospatial vector dataset is aligned to the geospatial imagery. The location of the feature on the geospatial imagery is then determined based on the selected geospatial vector dataset and outputted via a display device.Type: ApplicationFiled: July 10, 2009Publication date: May 26, 2011Inventors: Ching-Chien Chen, Dipsy Kapoor, Craig A. Knoblock, Cyrus Shahabi
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Publication number: 20110119265Abstract: Document relevance is determined with respect to a region of interest (ROI). A set of location references may be associated with a set of documents. The system selects location references associated with an ROI and then selects documents corresponding to the selected location references. The selected documents can be reported or processed further. A document-location reference index can be accessed when the present system is ‘online’ and processing a request for documents relevant to an ROI. The document-location reference index may be generated and updated while the present system is ‘offline’ and not processing a request for documents. The resulting relevant documents may be provided to a user in response to a document search associated with the ROI or along with an advertisement associated with the ROI.Type: ApplicationFiled: November 16, 2009Publication date: May 19, 2011Inventors: Cyrus Shahabi, Craig A. Knoblock, Dipsy Kapoor, Ching-Chien Chen
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Publication number: 20110007941Abstract: Methods for locating a feature on geospatial imagery and systems for performing those methods are disclosed. An accuracy level of each of a plurality of geospatial vector datasets available in a database can be determined. Each of the plurality of geospatial vector datasets corresponds to the same spatial region as the geospatial imagery. The geospatial vector dataset having the highest accuracy level may be selected. When the selected geospatial vector dataset and the geospatial imagery are misaligned, the selected geospatial vector dataset is aligned to the geospatial imagery. The location of the feature on the geospatial imagery is then determined based on the selected geospatial vector dataset and outputted via a display device.Type: ApplicationFiled: July 10, 2009Publication date: January 13, 2011Inventors: Ching-Chien Chen, Dipsy Kapoor, Craig A. Knoblock, Cyrus Shahabi
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Patent number: 7660441Abstract: Automatic conflation systems and techniques which provide vector-imagery conflation and map-imagery conflation. Vector-imagery conflation is an efficient approach that exploits knowledge from multiple data sources to identify a set of accurate control points. Vector-imagery conflation provides automatic and accurate alignment of various vector datasets and imagery, and is appropriate for GIS applications, for example, requiring alignment of vector data and imagery over large geographical regions. Map-imagery conflation utilizes common vector datasets as “glue” to automatically integrate street maps with imagery. This approach provides automatic, accurate, and intelligent images that combine the visual appeal and accuracy of imagery with the detailed attribution information often contained in such diverse maps. Both conflation approaches are applicable for GIS applications requiring, for example, alignment of vector data, raster maps, and imagery.Type: GrantFiled: June 28, 2005Date of Patent: February 9, 2010Assignee: Southern California, UniversityInventors: Ching-Chien Chen, Craig A. Knoblock, Cyrus Shahabi, Yao-Yi Chiang
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Publication number: 20090285487Abstract: A method, computer program, and system for linking content to individual image features are provided. A section of an image is identified. A plurality of features associated with the section of the image is determined. Each of the plurality of features corresponds to at least one position within the section of the image. Content associated with the plurality of features is retrieved from a content repository. The content is linked to the plurality of features based on at least one rule. The content is then presented.Type: ApplicationFiled: May 14, 2008Publication date: November 19, 2009Inventors: Craig A. Knoblock, Cyrus Shahabi, Ching-Chien Chen, Dipsy Kapoor
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Publication number: 20090030746Abstract: Techniques are described for using predictive pricing information for items to assist in evaluating buying and/or selling decisions in various ways, such as on behalf of end-user item acquirers and/or intermediate item providers. The predictive pricing for an item may be based on an analysis of historical pricing information for that item and/or related items, and can be used to make predictions about future pricing information for the item. Such predictions may then be provided to users in various ways to enable comparison of current prices to predicted future prices. In some situations, predictive pricing information is used to assist customers when purchasing airline tickets and/or to assist travel agents when selling airline tickets. This abstract is provided to comply with rules requiring an abstract, and it is submitted with the intention that it will not be used to interpret or limit the scope or meaning of the claims.Type: ApplicationFiled: March 7, 2008Publication date: January 29, 2009Inventors: Oren Etzioni, Alexander Yates, Craig A. Knoblock, Rattapoom Tuchinda
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Patent number: 7346520Abstract: Techniques are described for using predictive pricing information for items to assist in evaluating buying and/or selling decisions in various ways, such as on behalf of end-user item acquirers and/or intermediate item providers. The predictive pricing for an item may be based on an analysis of historical pricing information for that item and/or related items, and can be used to make predictions about future pricing information for the item. Such predictions may then be provided to users in various ways to enable comparison of current prices to predicted future prices. In some situations, predictive pricing information is used to assist customers when purchasing airline tickets and/or to assist travel agents when selling airline tickets. This abstract is provided to comply with rules requiring an abstract, and it is submitted with the intention that it will not be used to interpret or limit the scope or meaning of the claims.Type: GrantFiled: February 10, 2006Date of Patent: March 18, 2008Assignee: University of WashingtonInventors: Oren Etzioni, Alexander Yates, Craig A. Knoblock, Rattapoom Tuchinda
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Publication number: 20070021991Abstract: Techniques are described for using predictive pricing information for items to assist in evaluating buying and/or selling decisions in various ways, such as on behalf of end-user item acquirers and/or intermediate item providers. The predictive pricing for an item may be based on an analysis of historical pricing information for that item and/or related items, and can be used to make predictions about future pricing information for the item. Such predictions may then be provided to users in various ways to enable comparison of current prices to predicted future prices. In some situations, predictive pricing information is used to assist customers when purchasing airline tickets and/or to assist travel agents when selling airline tickets. This abstract is provided to comply with rules requiring an abstract, and it is submitted with the intention that it will not be used to interpret or limit the scope or meaning of the claims.Type: ApplicationFiled: February 10, 2006Publication date: January 25, 2007Inventors: Oren Etzioni, Alexander Yates, Craig Knoblock, Rattapoom Tuchinda
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Publication number: 20070014488Abstract: Automatic conflation systems and techniques which provide vector-imagery conflation and map-imagery conflation. Vector-imagery conflation is an efficient approach that exploits knowledge from multiple data sources to identify a set of accurate control points. Vector-imagery conflation provides automatic and accurate alignment of various vector datasets and imagery, and is appropriate for GIS applications, for example, requiring alignment of vector data and imagery over large geographical regions. Map-imagery conflation utilizes common vector datasets as “glue” to automatically integrate street maps with imagery. This approach provides automatic, accurate, and intelligent images that combine the visual appeal and accuracy of imagery with the detailed attribution information often contained in such diverse maps. Both conflation approaches are applicable for GIS applications requiring, for example, alignment of vector data, raster maps, and imagery.Type: ApplicationFiled: June 28, 2005Publication date: January 18, 2007Inventors: Ching-Chien Chen, Craig Knoblock, Cyrus Shahabi, Yao-Yi Chiang