Vinod M. Menon - Lawrenceville NJ, US Milind R. Gokhale - Princeton NJ, US Stephen R. Forrest - Princeton NJ, US Yu Huang - Princeton NJ, US Fengnian Xia - Plainsboro NJ, US
Assignee:
The Trustees of Princeton University - Princeton NJ
International Classification:
G02B 6/26 G02B 6/10
US Classification:
385 28, 385 50, 385131
Abstract:
An asymmetric twin waveguide (ATG) structure with quantum-well intermixing in the taper region of the active waveguide is disclosed. The structure comprises a first waveguide, a second waveguide, and a taper formed in the second waveguide. The taper has an intermixed area formed therein comprising a plurality of quantum wells intermixed with a plurality of barriers. The quantum wells and barriers may be intermixed using plasma-enhanced intermixing such as, for example, Argon plasma enhanced intermixing. Quantum-well intermixing reduces absorption loss normally encountered in the movement of light between waveguides.
Jun Tian - Plainsboro NJ, US Yu Huang - Bridgewater NJ, US Hong Heather Yu - West Windsor NJ, US
Assignee:
FutureWei Technologies, Inc. - Plano TX
International Classification:
G06F 15/16
US Classification:
709231, 709203, 709223, 709232, 709246
Abstract:
System and methods for media distribution are described. In one embodiment, a method of media distribution includes rendering of a media to a user, stopping the rendering of the media, and storing remaining media not rendered to the user in a user server. The method further includes receiving a request to stream the remaining media to the user, dividing the remaining media into segments, and assigning a priority to each segment. The remaining media is streamed, leaving out segments with priority lower than a threshold priority.
Image Processing System And Method For Object Tracking
Yu Huang - Plainsboro NJ, US Hongbing Li - Belle Mead NJ, US Jun Tian - Plainsboro NJ, US Hong Heather Yu - West Windsor NJ, US
Assignee:
Futurewei Technologies, Inc. - Plano TX
International Classification:
H04N 7/18
US Classification:
348157
Abstract:
An image processing method can be performed on a video image that includes an initial frame and a plurality of subsequent frames. An object is located within the initial frame of the video image and a histogram related to the object is generated. A foreground map that includes the object is also generated. For each subsequent frame, a mean shift iteration is performed to adjust the location of the object within the current frame. The histogram related to the object and the foreground map can then be updated.
Method And Apparatus For Detecting Objects Of Interest In Soccer Video By Color
Yu Huang - Plainsboro NJ, US Joan Llach - Princeton NJ, US Sitaram Bhagavathy - Plainsboro NJ, US
Assignee:
Thomson Licensing - Boulogne Billancourt
International Classification:
G06K 9/00 G06K 9/34
US Classification:
382103, 382128, 382173
Abstract:
A method is disclosed for detecting and locating players in soccer video frames without errors caused by artifacts by a shape analysis-based approach to identify the players and the ball from roughly extracted foregrounds obtained by color segmentation and connected component analysis, by performing a Euclidean distance transform to extract skeletons for every foreground blob, by performing a shape analysis to remove false alarms (non-players and non-ball), and then by performing skeleton pruning and a reverse Euclidean distance transform to cut-off the artifacts primarily caused by playing field lines.
Yu Huang - Plainsboro NJ, US Joan Llach - Princeton NJ, US
International Classification:
G06K 9/00
US Classification:
382103
Abstract:
According to an implementation, a set of particles is provided for use in estimating a location of a state of a dynamic system. A local-mode seeking mechanism is applied to move one or more particles in the set of particles, and the number of particles in the set of particles is modified. The location of the state of the dynamic system is estimated using particles in the set of particles. Another implementation provides dynamic state estimation using a particle filter for which the particle locations are modified using a local-mode seeking algorithm based on a mean-shift analysis and for which the number of particles is adjusted using a Kullback-Leibler-distance sampling process. The mean-shift analysis may reduce degeneracy in the particles, and the sampling process may reduce the computational complexity of the particle filter. The implementation may be useful with non-linear and non-Gaussian systems.
Yu Huang - Plainsboro NJ, US Joan Llach - Princeton NJ, US
International Classification:
G06K 9/00
US Classification:
382103
Abstract:
An implementation provides a method including forming a metric surface in a particle-based framework for tracking an object, the metric surface relating to a particular image in a sequence of digital images. Multiple hypotheses are formed of a location of the object in the particular image, based on the metric surface. The location of the object is estimated based on probabilities of the multiple hypotheses.
Yu Huang - Plainsboro NJ, US Joan Llach - Princeton NJ, US
International Classification:
G06K 9/46
US Classification:
382195
Abstract:
An implementation provides a method for estimating a location for an object in a particular image of a sequence of images. The location is estimated using a particle-based framework, such as a particle filter. It is determined that the estimated location for the object in the particular image is occluded. A trajectory is estimated for the object based on one or more previous locations of the object in one or more previous images in the sequence of images. The estimated location of the object is changed based on the estimated trajectory.
Yu Huang - Plainsboro NJ, US Joan Llach - Princeton NJ, US
International Classification:
G06K 9/46
US Classification:
382195
Abstract:
An implementation provides a method for determining a trajectory of an object in a particular image in a sequence of digital images, the trajectory being based on one or more previous locations of the object in one or more previous images in the sequence. A weight is determined, for a particle in a particle-based framework for tracking the object, based on distance from the trajectory to the particle. A location estimate is determined for the object using the particle-based framework, the location estimate being based on the determined particle weight.
Dr. Huang graduated from the Saba Univ Sch of Med, Saba, Netherland Antilles in 2000. He works in Tucson, AZ and specializes in Pulmonary Critical Care Medicine and Pulmonary Disease. Dr. Huang is affiliated with Carondelet Saint Josephs Hospital, Carondelet St Marys Hospital, Healthsouth Rehabilitation Institute Of Tucson and Kindred Hospital Tucson.
Digital Media Solutions Lab, Samsung Electronics USA
Jun 2011 to 2000 Senior Staff Research EngineerMedia Networking Lab, Futurewei (Huawei) Technologies USA Bridgewater, NJ Apr 2008 to Jun 2011 Senior ResearcherThomson Corporate Research
Jul 2005 to Apr 2008 Senior Member of Technical StaffRapiscan Systems Inc, an OSI System Company.
Feb 2003 to Apr 2005 R&D Algorithm EngineerBeckman Inst., U. of Illinois at Urbana-Champaign Urbana-Champaign, IL Nov 2000 to Feb 2003 Postdoctoral Research AssociateUniversity of Erlangen-Nuremberg, Germany
May 1999 to Sep 2000 Research Fellow/HumboldianDept. CST, Tsinghua University
Feb 1997 to Jan 1999 Research Fellow/Lecturer
Education:
Beijing Jiao-tong University, Institute of Information Science, Beijing, China Jan 1997 Ph. D in computer visionXidian University Xi'an, CN Jan 1993 MS in Electrical EngineeringXi'an Jiao-tong University Xi'an, CN Jan 1990 BS in Wireless Technology
Sep 2012 to 2000 Senior Staff Algorithm EngineerSamsung Electronics USA Irvine, CA Jun 2011 to Sep 2012 Senior Staff Research EngineerHuawei Bridgewater, NJ Apr 2008 to Jun 2011 Senior ResearcherThomson (Technicolor) Corporate Research Princeton, NJ Jul 2005 to Apr 2008 Senior Member of Technical StaffRapiscan Systems Inc, an OSI System Company. Hawthorne, CA Feb 2003 to Apr 2005 Algorithm R&D EngineerUIUC Urbana, IL Nov 2000 to Feb 2003 Postdoctoral Research AssociateUniversity of Erlangen-Nuremberg Germany May 1999 to Sep 2000 Research Fellow/Humboldian
Education:
Beijing Jiao-tong University 1997 Ph. DXidian University 1993 MS in Electrical EngineeringXi'an Jiao-tong University 1990 BS in Technology
Jun 2013 to 2000 Supply Chain Management and Logistics InternUNIVERSITY OF TENNESSEE Knoxville, TN Sep 2009 to May 2013 Graduate Research AssistantFUTON DEVELOPMENT GROUP New York, NY Sep 2007 to Jan 2009 Executive Assistant
Education:
UNIVERSITY OF TENNESSEE Knoxville, TN 2013 PhD. in Industrial and Systems Engineering with Minor in StatisticsUNIVERSITY OF WISCONSIN Stout, WI 2007 M.SWUHAN UNIVERSITY OF CHINA 2006 B.S in Engineering
Skills:
Computer Program and Software including ILOG Cplex, AnyLogic, JMP, SPSS, SAS/SAS Enterprise, Visual Basic, SQL, Arena, Dreamweaver, Adobe Flex/Flashbuilder, Adobe Creativity and E-learning Suite; Linear Programming, Optimization Methods, OR Applications in Engineering Economics; Data Mining, Statistical and Survey methods, Time Series and Forecasting; Project management; Advanced Applied System Modeling/Simulation (Arena/AnyLogic); Information System Analysis/Design (Visual Basic, SQL server); Process improvement; Lean Management; Engineering Management; Training program design, implementation, and evaluation.