Patents by Inventor Kyle Brocklehurst
Kyle Brocklehurst 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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Publication number: 20240096082Abstract: Accurately detection of logos in media content on media presentation devices is addressed. Logos and products are detected in media content produced in retail deployments using a camera. Logo recognition uses saliency analysis, segmentation techniques, and stroke analysis to segment likely logo regions. Logo recognition may suitably employ feature extraction, signature representation, and logo matching. These three approaches make use of neural network based classification and optical character recognition (OCR). One method for OCR recognizes individual characters then performs string matching. Another OCR method uses segment level character recognition with N-gram matching. Synthetic image generation for training of a neural net classifier and utilizing transfer learning features of neural networks are employed to support fast addition of new logos for recognition.Type: ApplicationFiled: November 13, 2023Publication date: March 21, 2024Inventors: Jose Pio Pereira, Kyle Brocklehurst, Sunil Suresh Kulkarni, Peter Wendt
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Patent number: 11861888Abstract: Accurately detection of logos in media content on media presentation devices is addressed. Logos and products are detected in media content produced in retail deployments using a camera. Logo recognition uses saliency analysis, segmentation techniques, and stroke analysis to segment likely logo regions. Logo recognition may suitably employ feature extraction, signature representation, and logo matching. These three approaches make use of neural network based classification and optical character recognition (OCR). One method for OCR recognizes individual characters then performs string matching. Another OCR method uses segment level character recognition with N-gram matching. Synthetic image generation for training of a neural net classifier and utilizing transfer learning features of neural networks are employed to support fast addition of new logos for recognition.Type: GrantFiled: February 16, 2022Date of Patent: January 2, 2024Assignee: Gracenote, Inc.Inventors: Jose Pio Pereira, Kyle Brocklehurst, Sunil Suresh Kulkarni, Peter Wendt
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Publication number: 20220172384Abstract: Accurately detection of logos in media content on media presentation devices is addressed. Logos and products are detected in media content produced in retail deployments using a camera. Logo recognition uses saliency analysis, segmentation techniques, and stroke analysis to segment likely logo regions. Logo recognition may suitably employ feature extraction, signature representation, and logo matching. These three approaches make use of neural network based classification and optical character recognition (OCR). One method for OCR recognizes individual characters then performs string matching. Another OCR method uses segment level character recognition with N-gram matching. Synthetic image generation for training of a neural net classifier and utilizing transfer learning features of neural networks are employed to support fast addition of new logos for recognition.Type: ApplicationFiled: February 16, 2022Publication date: June 2, 2022Inventors: Jose Pio Pereira, Kyle Brocklehurst, Sunil Suresh Kulkami, Peter Wendt
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Patent number: 11288823Abstract: Methods, apparatus, systems and articles of manufacture of logo recognition in images and videos are disclosed. An example method to detect a specific brand in images and video streams comprises accepting luminance images at a scale in an x direction Sx and a different scale in a y direction Sy in a neural network, and training the neural network with a set of training images for detected features associated with a specific brand.Type: GrantFiled: April 7, 2020Date of Patent: March 29, 2022Assignee: Gracenote, Inc.Inventors: Jose Pio Pereira, Kyle Brocklehurst, Sunil Suresh Kulkarni, Peter Wendt
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Publication number: 20200372662Abstract: Methods, apparatus, systems and articles of manufacture of logo recognition in images and videos are disclosed. An example method to detect a specific brand in images and video streams comprises accepting luminance images at a scale in an x direction Sx and a different scale in a y direction Sy in a neural network, and training the neural network with a set of training images for detected features associated with a specific brand.Type: ApplicationFiled: April 7, 2020Publication date: November 26, 2020Inventors: Jose Pio Pereira, Kyle Brocklehurst, Sunil Suresh Kulkarni, Peter Wendt
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Patent number: 10614582Abstract: Methods, apparatus, systems and articles of manufacture of logo recognition in images and videos are disclosed. An example method to detect a specific brand in images and video streams comprises accepting luminance images at a scale in an x direction Sx and a different scale in a y direction Sy in a neural network, and training the neural network with a set of training images for detected features associated with a specific brand.Type: GrantFiled: June 25, 2018Date of Patent: April 7, 2020Assignee: Gracenote, Inc.Inventors: Jose Pio Pereira, Kyle Brocklehurst, Sunil Suresh Kulkarni, Peter Wendt
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Publication number: 20180307942Abstract: Methods, apparatus, systems and articles of manufacture of logo recognition in images and videos are disclosed. An example method to detect a specific brand in images and video streams comprises accepting luminance images at a scale in an x direction Sx and a different scale in a y direction Sy in a neural network, and training the neural network with a set of training images for detected features associated with a specific brand.Type: ApplicationFiled: June 25, 2018Publication date: October 25, 2018Inventors: Jose Pio Pereira, Kyle Brocklehurst, Sunil Suresh Kulkarni, Peter Wendt
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Patent number: 10007863Abstract: Accurately detection of logos in media content on media presentation devices is addressed. Logos and products are detected in media content produced in retail deployments using a camera. Logo recognition uses saliency analysis, segmentation techniques, and stroke analysis to segment likely logo regions. Logo recognition may suitably employ feature extraction, signature representation, and logo matching. These three approaches make use of neural network based classification and optical character recognition (OCR). One method for OCR recognizes individual characters then performs string matching. Another OCR method uses segment level character recognition with N-gram matching. Synthetic image generation for training of a neural net classifier and utilizing transfer learning features of neural networks are employed to support fast addition of new logos for recognition.Type: GrantFiled: June 3, 2016Date of Patent: June 26, 2018Assignee: Gracenote, Inc.Inventors: Jose Pio Pereira, Kyle Brocklehurst, Sunil Suresh Kulkarni, Peter Wendt
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Patent number: 9843766Abstract: A device may include a communication circuitry configured to receive device data from a paired device and a processor coupled to the communication circuitry. The processor may be configured to determine an ambient condition including physical presence of a user of the paired device relative to the paired device using to the device data. The device may also include a screen coupled to the processor. The screen may be configured to display an avatar of the user of the paired device and adjust a visual characteristic of the avatar responsive to the physical presence.Type: GrantFiled: November 18, 2015Date of Patent: December 12, 2017Assignee: SAMSUNG ELECTRONICS CO., LTD.Inventors: Dion M. Isselhardt, Garret Miller, Kyle Brocklehurst, Moe Tanabian
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Publication number: 20170064250Abstract: A device may include a communication circuitry configured to receive device data from a paired device and a processor coupled to the communication circuitry. The processor may be configured to determine an ambient condition including physical presence of a user of the paired device relative to the paired device using to the device data. The device may also include a screen coupled to the processor. The screen may be configured to display an avatar of the user of the paired device and adjust a visual characteristic of the avatar responsive to the physical presence.Type: ApplicationFiled: November 18, 2015Publication date: March 2, 2017Inventors: Dion M. Isselhardt, Garret Miller, Kyle Brocklehurst, Moe Tanabian