Patents by Inventor Jiangyu Liu
Jiangyu Liu 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: 10129608Abstract: A solution is provided for detecting video highlights of a sports video. A video highlight of a sports video is a portion of the sports video and represents a semantically important event captured in the sports video. An audio stream associated with the sports video is evaluated, e.g., the loudness and length of the loudness of the portions of the audio stream. Video segments of the sports video are selected based on the evaluation of the audio stream. Each selected video segment represents a video highlight candidate of the sports video. A trained audio classification model is used to recognize the voice patterns in the audio stream associated with each selected video segment. Based on the comparison of the recognized video patterns with a set of desired voice patterns, one or more video segments are selected as the video highlights of the sports video.Type: GrantFiled: February 24, 2015Date of Patent: November 13, 2018Inventors: Zheng Han, Xiaowei Dai, Jiangyu Liu
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Patent number: 9875533Abstract: Image processing for productivity applications is provided. An image may be received by a computing device. The computing device may detect the edges comprising the received image and adjust the image based on a skew state of the detected edges. The computing device may then process the adjusted image to correct imbalances. The computing device may then assign an image classification to the processed image. The computing device may then adjust the processed image based on the assigned image classification.Type: GrantFiled: January 18, 2017Date of Patent: January 23, 2018Assignee: Microsoft Technology Licensing, LLCInventors: Seiichi Kato, Yasufumi Shiraishi, Daniel J. Moffitt, Kenji Nikaido, Daniel Eduardo Martinez, Lu Yuan, Jiangyu Liu, Aleksandar B. Tomic, Ivan Stojiljkovic, Zhengyou Zhang
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Publication number: 20170124698Abstract: Image processing for productivity applications is provided. An image may be received by a computing device. The computing device may detect the edges comprising the received image and adjust the image based on a skew state of the detected edges. The computing device may then process the adjusted image to correct imbalances. The computing device may then assign an image classification to the processed image. The computing device may then adjust the processed image based on the assigned image classification.Type: ApplicationFiled: January 18, 2017Publication date: May 4, 2017Applicant: MICROSOFT TECHNOLOGY LICENSING, LLCInventors: Seiichi Kato, Yasufumi Shiraishi, Daniel J. Moffitt, Kenji Nikaido, Daniel Eduardo Martinez, Lu Yuan, Jiangyu Liu, Aleksandar B. Tomic, Ivan Stojiljkovic, Zhengyou Zhang
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Patent number: 9600717Abstract: A system is provided for real-time single-view action recognition for sports videos based on key pose analysis of the sports videos. A training module of the system trains feature models for a sports action distinctively associated with each sports type using a large corpus of training videos. The trained feature models include a player detector for detecting locations of a player in video frames of a training video, a set of key pose identifiers for identifying distinctive poses of a sports action associated with a type of sports, and a meta classifier for determining a likelihood that the sports action has happened in a sports video based on the key poses analysis. Responsive to an input sports video being received for real-time action recognition, a set of trained feature models associated with the sports type of the input video are selected and applied to the input video.Type: GrantFiled: February 25, 2016Date of Patent: March 21, 2017Assignee: Zepp Labs, Inc.Inventors: Xiaowei Dai, Jiangyu Liu, Zheng Han, Zeyu Liu
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Patent number: 9569689Abstract: Image processing for productivity applications is provided. An image may be received by a computing device. The computing device may detect the edges comprising the received image and adjust the image based on a skew state of the detected edges. The computing device may then process the adjusted image to correct imbalances. The computing device may then assign an image classification to the processed image. The computing device may then adjust the processed image based on the assigned image classification.Type: GrantFiled: October 14, 2014Date of Patent: February 14, 2017Assignee: MICROSOFT TECHNOLOGY LICENSING, LLCInventors: Seiichi Kato, Yasufumi Shiraishi, Daniel J. Moffitt, Kenji Nikaido, Daniel Eduardo Martinez, Lu Yuan, Jiangyu Liu, Aleksandar B. Tomic, Ivan Stojiljkovic, Zhengyou Zhang
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Publication number: 20160247328Abstract: A solution is provided for detecting video highlights of a sports video. A video highlight of a sports video is a portion of the sports video and represents a semantically important event captured in the sports video. An audio stream associated with the sports video is evaluated, e.g., the loudness and length of the loudness of the portions of the audio stream. Video segments of the sports video are selected based on the evaluation of the audio stream. Each selected video segment represents a video highlight candidate of the sports video. A trained audio classification model is used to recognize the voice patterns in the audio stream associated with each selected video segment. Based on the comparison of the recognized video patterns with a set of desired voice patterns, one or more video segments are selected as the video highlights of the sports video.Type: ApplicationFiled: February 24, 2015Publication date: August 25, 2016Inventors: Zheng Han, Xiaowei Dai, Jiangyu Liu
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Publication number: 20150131903Abstract: Image processing for productivity applications is provided. An image may be received by a computing device. The computing device may detect the edges comprising the received image and adjust the image based on a skew state of the detected edges. The computing device may then process the adjusted image to correct imbalances. The computing device may then assign an image classification to the processed image. The computing device may then adjust the processed image based on the assigned image classification.Type: ApplicationFiled: October 14, 2014Publication date: May 14, 2015Applicant: MICROSOFT CORPORATIONInventors: Seiichi Kato, Yasufumi Shiraishi, Daniel J. Moffitt, Kenji Nikaido, Daniel Eduardo Martinez, Lu Yuan, Jiangyu Liu, Aleksandar B. Tomic, Ivan Stojiljkovic, Zhengyou Zhang
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Patent number: 8452087Abstract: Tools disclosed herein comprise progressive, paint stroke based region recognition and selection tools. Using these tools, a user may partially paint a region of interest directly on an image (by using a paint brush or other similar tool). Unlike conventional selection tools, a user is not required to paint the entire region pixel-by-pixel. Rather the desired region is automatically and intelligently recognized based on the partial selection. This is accomplished via a progressive selection algorithm. In addition, these tools provide the ability to quickly execute such region selections on multi-megapixel images.Type: GrantFiled: September 30, 2009Date of Patent: May 28, 2013Assignee: Microsoft CorporationInventors: Jian Sun, Jiangyu Liu
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Patent number: 8386964Abstract: A user interface enables interactive image matting to be performed on an image The user interface may provide results including an alpha matte as feedback in real time. The user interface may provide interactive tools for selecting a portion of the image, and an unknown region for alpha matte processing may be automatically generated adjacent to the selected region. The user may interactively refine the alpha matte as desired to obtain a satisfactory result.Type: GrantFiled: July 21, 2010Date of Patent: February 26, 2013Assignee: Microsoft CorporationInventors: Jian Sun, Kaiming He, Jiangyu Liu
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Patent number: 8224075Abstract: Tools disclosed herein comprise progressive, paint stroke based region recognition and selection tools. Using these tools, a user may partially paint a region of interest directly on an image (by using a paint brush or other similar tool). Unlike conventional selection tools, a user is not required to paint the entire region pixel-by-pixel. Rather the desired region is automatically and intelligently recognized based on the partial selection. This is accomplished via a progressive selection algorithm. In addition, these tools provide the ability to quickly execute such region selections on multi-megapixel images.Type: GrantFiled: September 30, 2009Date of Patent: July 17, 2012Assignee: Microsoft CorporationInventors: Jian Sun, Jiangyu Liu
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Publication number: 20120023456Abstract: A user interface enables interactive image matting to be performed on an image The user interface may provide results including an alpha matte as feedback in real time. The user interface may provide interactive tools for selecting a portion of the image, and an unknown region for alpha matte processing may be automatically generated adjacent to the selected region. The user may interactively refine the alpha matte as desired to obtain a satisfactory result.Type: ApplicationFiled: July 21, 2010Publication date: January 26, 2012Applicant: Microsoft CorporationInventors: Jian Sun, Kaiming He, Jiangyu Liu
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Publication number: 20110075921Abstract: Tools disclosed herein comprise progressive, paint stroke based region recognition and selection tools. Using these tools, a user may partially paint a region of interest directly on an image (by using a paint brush or other similar tool). Unlike conventional selection tools, a user is not required to paint the entire region pixel-by-pixel. Rather the desired region is automatically and intelligently recognized based on the partial selection. This is accomplished via a progressive selection algorithm. In addition, these tools provide the ability to quickly execute such region selections on multi-megapixel images.Type: ApplicationFiled: September 30, 2009Publication date: March 31, 2011Applicant: Microsoft CorporationInventors: Jian Sun, Jiangyu Liu