Patents by Inventor Hong Jiang Zhang

Hong Jiang Zhang 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).

  • Publication number: 20200317689
    Abstract: Compounds for use in treating or preventing human immunodeficiency virus (HIV) infection are disclosed. The compounds have the following formula (I): including stereoisomers and pharmaceutically acceptable salts thereof, wherein R1, R2, L, W1, W2, X, Y, and Z are as defined herein. Methods associated with the preparation and use of such compounds, as well as pharmaceutical compositions comprising such compounds, are also disclosed.
    Type: Application
    Filed: March 20, 2020
    Publication date: October 8, 2020
    Inventors: Hang Chu, Ana Z. Gonzalez Buenrostro, Hongyan Guo, Xiaochun Han, Lan Jiang, Jiayao Li, Michael L. Mitchell, Hyung-Jung Pyun, Scott D. Schroeder, Gregg M. Schwarzwalder, Nathan D. Shapiro, Devleena M. Shivakumar, Qiaoyin Wu, Hong Yang, Jennifer R. Zhang
  • Patent number: 9779303
    Abstract: A system and process for video characterization that facilitates video classification and retrieval, as well as motion detection, applications. This involves characterizing a video sequence with a gray scale image having pixel levels that reflect the intensity of motion associated with a corresponding region in the sequence of video frames. The intensity of motion is defined using any of three characterizing processes. Namely, a perceived motion energy spectrum (PMES) characterizing process that represents object-based motion intensity over the sequence of frames, a spatio-temporal entropy (STE) characterizing process that represents the intensity of motion based on color variation at each pixel location, a motion vector angle entropy (MVAE) characterizing process which represents the intensity of motion based on the variation of motion vector angles.
    Type: Grant
    Filed: September 2, 2004
    Date of Patent: October 3, 2017
    Assignee: MICROSOFT TECHNOLOGY LICENSING, LLC
    Inventors: Hong-Jiang Zhang, Yufei Ma
  • Patent number: 9483577
    Abstract: A large web page is analyzed and partitioned into smaller sub-pages so that a user can navigate the web page on a small form factor device. The user can browse the sub-pages to find and read information in the content of the large web page. The partitioning can be performed at a web server, an edge server, at the small form factor device, or can be distributed across one or more such devices. The analysis leverages design habits of a web page author to extract a representation structure of an authored web page. The extracted representation structure includes high level structure using several markup language tag selection rules and low level structure using visual boundary detection in which visual units of the low level structure are provided by clustering markup language tags. User viewing habits can be learned to display favorite parts of a web page.
    Type: Grant
    Filed: September 12, 2011
    Date of Patent: November 1, 2016
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Yu Chen, Hong-Jiang Zhang, Wei-Ying Ma, Ming-Yu Wang
  • Patent number: 9047319
    Abstract: A computing device configured to determine that one or more regions of an image are associated with a tag of the image is described herein. The computing device is further configured to determine one or more attribute tags describing at least one of the content or context of the one or more regions. Upon determining the attribute tags, the computing device associates the attribute tags with the tag to enable image searching based on the tag and attribute tags.
    Type: Grant
    Filed: December 17, 2010
    Date of Patent: June 2, 2015
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Xian-Sheng Hua, Kuiyuan Yang, Meng Wang, Hong-Jiang Zhang
  • Patent number: 8457358
    Abstract: Improvements are provided to effectively assess a user's face and head pose such that a computer or like device can track the user's attention towards a display device(s). Then the region of the display or graphical user interface that the user is turned towards can be automatically selected without requiring the user to provide further inputs. A frontal face detector is applied to detect the user's frontal face and then key facial points such as left/right eye center, left/right mouth corner, nose tip, etc., are detected by component detectors. The system then tracks the user's head by an image tracker and determines yaw, tilt and roll angle and other pose information of the user's head through a coarse to fine process according to key facial points and/or confidence outputs by pose estimator.
    Type: Grant
    Filed: February 16, 2012
    Date of Patent: June 4, 2013
    Assignee: Microsoft Corporation
    Inventors: Yuxiao Hu, Hong-Jiang Zhang, Mingjing Li, Lei Zhang
  • Patent number: 8422802
    Abstract: Techniques for construction of a visual codebook are described herein. Feature points may be extracted from large numbers of images. In one example, images providing N feature points may be used to construct a codebook of K words. The centers of each of K clusters of feature points may be initialized. In a looping or iterative manner, an assignment step assigns each feature point to a cluster and an update step locates a center of each cluster. The feature points may be assigned to a cluster based on a lesser of a distance to a center of a previously assigned cluster and a distance to a center derived by operation of an approximate nearest neighbor algorithm having aspects of randomization. The loop terminates when the feature points have sufficiently converged to their respective clusters. Centers of the clusters represent visual words, which may be used to construct the visual codebook.
    Type: Grant
    Filed: March 31, 2011
    Date of Patent: April 16, 2013
    Assignee: Microsoft Corporation
    Inventors: Linjun Yang, Darui Li, Xian-Sheng Hua, Hong-Jiang Zhang
  • Publication number: 20120251007
    Abstract: Techniques for construction of a visual codebook are described herein. Feature points may be extracted from large numbers of images. In one example, images providing N feature points may be used to construct a codebook of K words. The centers of each of K clusters of feature points may be initialized. In a looping or iterative manner, an assignment step assigns each feature point to a cluster and an update step locates a center of each cluster. The feature points may be assigned to a cluster based on a lesser of a distance to a center of a previously assigned cluster and a distance to a center derived by operation of an approximate nearest neighbor algorithm having aspects of randomization. The loop terminates when the feature points have sufficiently converged to their respective clusters. Centers of the clusters represent visual words, which may be used to construct the visual codebook.
    Type: Application
    Filed: March 31, 2011
    Publication date: October 4, 2012
    Applicant: Microsoft Corporation
    Inventors: Linjun Yang, Darui Li, Xian-Sheng Hua, Hong-Jiang Zhang
  • Publication number: 20120158721
    Abstract: A computing device configured to determine that one or more regions of an image are associated with a tag of the image is described herein. The computing device is further configured to determine one or more attribute tags describing at least one of the content or context of the one or more regions. Upon determining the attribute tags, the computing device associates the attribute tags with the tag to enable image searching based on the tag and attribute tags.
    Type: Application
    Filed: December 17, 2010
    Publication date: June 21, 2012
    Applicant: MICROSOFT CORPORATION
    Inventors: Xian-Sheng Hua, Kuiyuan Yang, Meng Wang, Hong-Jiang Zhang
  • Publication number: 20120158686
    Abstract: A computing device configured to determine a subset of the tags associated with at least one image of a plurality of received, tagged images is described herein. The computing device performs the determining based on one or more measures of consistency of visual similarity between ones of the images with semantic similarity between tags of the ones of the images.
    Type: Application
    Filed: December 17, 2010
    Publication date: June 21, 2012
    Applicant: MICROSOFT CORPORATION
    Inventors: Xian-Sheng Hua, Dong Liu, Meng Wang, Hong-Jiang Zhang
  • Publication number: 20120139832
    Abstract: Improvements are provided to effectively assess a user's face and head pose such that a computer or like device can track the user's attention towards a display device(s). Then the region of the display or graphical user interface that the user is turned towards can be automatically selected without requiring the user to provide further inputs. A frontal face detector is applied to detect the user's frontal face and then key facial points such as left/right eye center, left/right mouth corner, nose tip, etc., are detected by component detectors. The system then tracks the user's head by an image tracker and determines yaw, tilt and roll angle and other pose information of the user's head through a coarse to fine process according to key facial points and/or confidence outputs by pose estimator.
    Type: Application
    Filed: February 16, 2012
    Publication date: June 7, 2012
    Applicant: Microsoft Corporation
    Inventors: Yuxiao HU, Lei Zhang, Mingjing Li, Hong-Jiang Zhang
  • Patent number: 8175847
    Abstract: Technologies for generating a boosted tag ranking for a media instance, the boosted tag ranking based on probabilistic relevance estimation computed by a probabilistic relevance estimator and tag correlation refining performed by a tag correlation refiner. Such boosted tag rankings may be used for search result ranking, tag recommendation, and group recommendation.
    Type: Grant
    Filed: March 31, 2009
    Date of Patent: May 8, 2012
    Assignee: Microsoft Corporation
    Inventors: Hong-Jiang Zhang, Dong Liu, Meng Wang, Linjun Yang, Xian-Sheng Hua
  • Patent number: 8144769
    Abstract: Various embodiments provide methods and systems for streaming data that can facilitate streaming during bandwidth fluctuations in a manner that can enhance the user experience. In one aspect, a forward-shifting technique is utilized to buffer data that is to be streamed, e.g. an enhancement layer in a FGS stream. Various techniques can drop layers actively when bandwidth is constant. The saved bandwidth can then be used to pre-stream enhancement layer portions. In another aspect, a content-aware decision can be made as to how to drop enhancement layers when bandwidth decreases. During periods of decreasing bandwidth, if a video segment does not contain important content, the enhancement layers will be dropped to keep the forward-shifting of the enhancement layer unchanged. If the enhancement layer does contain important content, it will be transmitted later when bandwidth increases.
    Type: Grant
    Filed: January 19, 2009
    Date of Patent: March 27, 2012
    Assignee: Microsoft Corporation
    Inventors: Tianming Liu, Hong-Jiang Zhang, Wei Qi
  • Patent number: 8135183
    Abstract: Improvements are provided to effectively assess a user's face and head pose such that a computer or like device can track the user's attention towards a display device(s). Then the region of the display or graphical user interface that the user is turned towards can be automatically selected without requiring the user to provide further inputs. A frontal face detector is applied to detect the user's frontal face and then key facial points such as left/right eye center, left/right mouth corner, nose tip, etc., are detected by component detectors. The system then tracks the user's head by an image tracker and determines yaw, tilt and roll angle and other pose information of the user's head through a coarse to fine process according to key facial points and/or confidence outputs by pose estimator.
    Type: Grant
    Filed: November 5, 2010
    Date of Patent: March 13, 2012
    Assignee: Microsoft Corporation
    Inventors: Yuxiao Hu, Lei Zhang, Mingjing Li, Hong-Jiang Zhang
  • Patent number: 8131086
    Abstract: Kernelized spatial-contextual image classification is disclosed. One embodiment comprises generating a first spatial-contextual model to represent a first image, the first spatial-contextual model having a plurality of interconnected nodes arranged in a first pattern of connections with each node connected to at least one other node, generating a second spatial-contextual model to represent a second image using the first pattern of connections, and estimating the distance between corresponding nodes in the first spatial-contextual model and the second spatial-contextual model based on a relationship with adjacent connected nodes to determine a distance between the first image and the second image.
    Type: Grant
    Filed: September 24, 2008
    Date of Patent: March 6, 2012
    Assignee: Microsoft Corporation
    Inventors: Xian-Sheng Hua, Guo-Jun Qi, Yong Rui, Hong-Jiang Zhang
  • Patent number: 8122345
    Abstract: By understanding a website author's intention through an analysis of the function of a website, website content can be adapted for presentation or rendering in a manner that more closely appreciates and respects the function behind the website. Various inventive systems and methods analyze a website's function so that its content can be adapted to different client environments, e.g. devices, network conditions, or user preferences. A novel function-based object model automatically identifies objects associated with a website, and analyzes those objects in terms of their functions. The function-based object model permits consistent, informed decisions to be made in the adaptation process, so that web content is displayed not only in an organized manner, but in a manner that reflects the author's intention.
    Type: Grant
    Filed: November 4, 2008
    Date of Patent: February 21, 2012
    Assignee: Microsoft Corporation
    Inventors: Jin-Lin Chen, Yudong Yang, Hong-Jiang Zhang
  • Patent number: 8098730
    Abstract: Systems and methods to generate a motion attention model of a video data sequence are described. In one aspect, a motion saliency map B is generated to precisely indicate motion attention areas for each frame in the video data sequence. The motion saliency maps are each based on intensity I, spatial coherence Cs, and temporal coherence Ct values. These values are extracted from each block or pixel in motion fields that are extracted from the video data sequence. Brightness values of detected motion attention areas in each frame are accumulated to generate, with respect to time, the motion attention model.
    Type: Grant
    Filed: April 3, 2006
    Date of Patent: January 17, 2012
    Assignee: Microsoft Corporation
    Inventors: Yu-Fei Ma, Hong-Jiang Zhang
  • Patent number: 8094719
    Abstract: Various embodiments provide methods and systems for streaming data that can facilitate streaming during bandwidth fluctuations in a manner that can enhance the user experience. In one aspect, a forward-shifting technique is utilized to buffer data that is to be streamed, e.g. an enhancement layer in a FGS stream. Various techniques can drop layers actively when bandwidth is constant. The saved bandwidth can then be used to pre-stream enhancement layer portions. In another aspect, a content-aware decision can be made as to how to drop enhancement layers when bandwidth decreases. During periods of decreasing bandwidth, if a video segment does not contain important content, the enhancement layers will be dropped to keep the forward-shifting of the enhancement layer unchanged. If the enhancement layer does contain important content, it will be transmitted later when bandwidth increases.
    Type: Grant
    Filed: January 20, 2009
    Date of Patent: January 10, 2012
    Assignee: Microsoft Corporation
    Inventors: Tianming Liu, Hong-Jiang Zhang, Wei Qi
  • Publication number: 20120005565
    Abstract: A large web page is analyzed and partitioned into smaller sub-pages so that a user can navigate the web page on a small form factor device. The user can browse the sub-pages to find and read information in the content of the large web page. The partitioning can be performed at a web server, an edge server, at the small form factor device, or can be distributed across one or more such devices. The analysis leverages design habits of a web page author to extract a representation structure of an authored web page. The extracted representation structure includes high level structure using several markup language tag selection rules and low level structure using visual boundary detection in which visual units of the low level structure are provided by clustering markup language tags. User viewing habits can be learned to display favorite parts of a web page.
    Type: Application
    Filed: September 12, 2011
    Publication date: January 5, 2012
    Applicant: Microsoft Corporation
    Inventors: Yu Chen, Wei-Ying Ma, Ming-Yu Wang, Hong Jiang Zhang
  • Patent number: 8086031
    Abstract: Disclosed herein are systems methods and devices related to region detection of an image. Detected regions include pixels of a particular one or more colors without requiring faces within the image to be previously detected. Region detection may include receiving information that a flash was used to capture the image or that return light was detected in the image.
    Type: Grant
    Filed: May 13, 2009
    Date of Patent: December 27, 2011
    Assignee: Microsoft Corporation
    Inventors: Tong-Xian Chen, Xiangrong Chen, John C. Platt, Jie Yan, Hong-Jiang Zhang
  • Patent number: 8086549
    Abstract: Multi-label active learning may entail training a classifier with a set of training samples having multiple labels per sample. In an example embodiment, a method includes accepting a set of training samples, with the set of training samples having multiple respective samples that are each respectively associated with multiple labels. The set of training samples is analyzed to select a sample-label pair responsive to at least one error parameter. The selected sample-label pair is then submitted to an oracle for labeling.
    Type: Grant
    Filed: December 17, 2007
    Date of Patent: December 27, 2011
    Assignee: Microsoft Corporation
    Inventors: Guo-Jun Qi, Xian-Sheng Hua, Yong Rui, Hong-Jiang Zhang, Shipeng Li