- San Francisco CA, US Peter N. Belhumeur - San Francisco CA, US Ying Xiong - Sunnyvale CA, US Jongmin Baek - San Jose CA, US Simon Kozlov - San Francisco CA, US Thomas Berg - San Francisco CA, US David J. Kriegman - San Diego CA, US
The present disclosure is directed toward systems and methods to quickly and accurately identify boundaries of a displayed document in a live camera image feed, and provide a document boundary indicator within the live camera image feed. For example, systems and methods described herein utilize different display document detection processes in parallel to generate and provide a document boundary indicator that accurately corresponds with a displayed document within a live camera image feed. Thus, a user of the mobile computing device can easily see whether the document identification system has correctly identified the displayed document within the camera viewfinder feed.
- San Francisco CA, US Jongmin Baek - Millbrae CA, US
International Classification:
G06N 20/00 G06N 5/04 G06F 16/93 G06F 16/16
Abstract:
Computer-implemented techniques encompass using distinct machine learning sub-models to score respective types of candidate content for the purpose of providing personalized content suggestions to end-users of a content management system. The relevancy scores generated by the distinct sub-models are mapped to expected end-user interaction scores of the candidate content scored. Content suggestions are provided at end-users' computing devices where the suggested content is selected from the candidate content based on the expected end-user interaction scores of the candidate content. For each distinct sub-model, a normalizing mapping function is solved using an optimizer that maps the relevancy scores generated by the sub-model for the candidate content to expected end-user interaction scores for the candidate content. The expected end-user interaction scores are comparable across the distinct sub-models and can be used to rank content suggestions across the distinct sub-models.
- San Francisco CA, US Peter N. Belhumeur - San Francisco CA, US Ying Xiong - Sunnyvale CA, US Jongmin Baek - San Jose CA, US Simon Kozlov - San Francisco CA, US Thomas Berg - San Francisco CA, US David J. Kriegman - San Diego CA, US
The present disclosure is directed toward systems and methods that efficiently and effectively generate an enhanced document image of a displayed document in an image frame captured from a live image feed. For example, systems and methods described herein apply a document enhancement process to a displayed document in an image frame that result in an enhanced document image that is cropped, rectified, un-shadowed, and with dark text against a mostly white background. Additionally, systems and method described herein determine whether a stored digital content item includes a displayed document. In response to determining that a stored digital content item does include a displayed document, systems and methods described herein generate an enhanced document image of a displayed document included in the stored digital content item.
- San Francisco CA, US Peter N. Belhumeur - San Francisco CA, US Ying Xiong - Sunnyvale CA, US Jongmin Baek - San Jose CA, US Simon Kozlov - San Francisco CA, US Thomas Berg - San Francisco CA, US David J. Kriegman - San Diego CA, US
The present disclosure is directed toward systems and methods that efficiently and effectively generate an enhanced document image of a displayed document in an image frame captured from a live image feed. For example, systems and methods described herein apply a document enhancement process to a displayed document in an image frame that result in an enhanced document image that is cropped, rectified, un-shadowed, and with dark text against a mostly white background. Additionally, systems and method described herein determine whether a stored digital content item includes a displayed document. In response to determining that a stored digital content item does include a displayed document, systems and methods described herein generate an enhanced document image of a displayed document included in the stored digital content item.
Live Document Detection In A Captured Video Stream
- San Francisco CA, US Peter N. Belhumeur - San Francisco CA, US Ying Xiong - Sunnyvale CA, US Jongmin Baek - San Jose CA, US Simon Kozlov - San Francisco CA, US Thomas Berg - San Francisco CA, US David J. Kriegman - San Diego CA, US
The present disclosure is directed toward systems and methods to quickly and accurately identify boundaries of a displayed document in a live camera image feed, and provide a document boundary indicator within the live camera image feed. For example, systems and methods described herein utilize different display document detection processes in parallel to generate and provide a document boundary indicator that accurately corresponds with a displayed document within a live camera image feed. Thus, a user of the mobile computing device can easily see whether the document identification system has correctly identified the displayed document within the camera viewfinder feed.
- San Francisco CA, US Peter N. Belhumeur - San Francisco CA, US Ying Xiong - Sunnyvale CA, US Jongmin Baek - San Jose CA, US Simon Kozlov - San Francisco CA, US Thomas Berg - San Francisco CA, US David J. Kriegman - San Diego CA, US
The present disclosure is directed toward systems and methods that efficiently and effectively generate an enhanced document image of a displayed document in an image frame captured from a live image feed. For example, systems and methods described herein apply a document enhancement process to a displayed document in an image frame that result in an enhanced document image that is cropped, rectified, un-shadowed, and with dark text against a mostly white background. Additionally, systems and method described herein determine whether a stored digital content item includes a displayed document. In response to determining that a stored digital content item does include a displayed document, systems and methods described herein generate an enhanced document image of a displayed document included in the stored digital content item.
Live Document Detection In A Captured Video Stream
- San Francisco CA, US Peter N. Belhumeur - San Francisco CA, US Ying Xiong - Sunnyvale CA, US Jongmin Baek - San Jose CA, US Simon Kozlov - San Francisco CA, US Thomas Berg - San Francisco CA, US David J. Kriegman - San Diego CA, US
International Classification:
G06K 9/46 G06K 9/78 G06K 9/00
Abstract:
The present disclosure is directed toward systems and methods to quickly and accurately identify boundaries of a displayed document in a live camera image feed, and provide a document boundary indicator within the live camera image feed. For example, systems and methods described herein utilize different display document detection processes in parallel to generate and provide a document boundary indicator that accurately corresponds with a displayed document within a live camera image feed. Thus, a user of the mobile computing device can easily see whether the document identification system has correctly identified the displayed document within the camera viewfinder feed.
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