Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for automatically extracting logos from images. Methods include generating a query list including a plurality of logo search queries, for each logo search query of the plurality of logo search queries: generating a plurality of image search results, each image search result including image data, and clustering the plurality of image search results into a plurality of clusters, each cluster including a plurality of images of the plurality of image search results, extracting, for each cluster of the plurality of clusters, a representative image to provide a plurality of representative images, and a name corresponding to the representative image to provide a plurality of names, and providing the plurality of representative images and the plurality of names to a logo index, the logo index being accessible to identify one or more logo images in a query image.
Tracking Method And Device Adopting A Series Of Observation Models With Different Life Spans
Haizhou Ai - Beijing, CN Yuan Li - Los Angeles CA, US Shihong Lao - Kyoto, JP Takayoshi Yamashita - Kizugawa, JP
Assignee:
Omron Corporation - Kyoto Tsinghua University - Beijing
International Classification:
G06K 9/00
US Classification:
382103, 382165
Abstract:
The present invention relates to a tracking method and a tracking device adopting multiple observation models with different life spans. The tracking method is suitable for tracking an object in a low frame rate video or with abrupt motion, and uses three observation models with different life spans to track and detect a specific subject in frame images of a video sequence. An observation model I performs online learning with one frame image prior to the current image, an observation model II performs online learning with five frames prior to the current image, and an observation model III is offline trained. The three observation models are combined by a cascade particle filter so that the specific subject in the low frame rate video or the object with abrupt motion can be tracked quickly and accurately.
Yuan Li - Los Angeles CA, US Hartwig Adam - Marina del Rey CA, US
Assignee:
Google Inc. - Mountain View CA
International Classification:
G06K 9/62
US Classification:
382159, 382157, 382160, 382161, 382209
Abstract:
Systems and methods for improving visual object recognition by analyzing query images are disclosed. In one example, a visual object recognition module may determine query images matching objects of a training corpus utilized by the module. Matched query images may be added to the training corpus as training images of a matched object to expand the recognition of the object by the module. In another example, relevant candidate image corpora from a pool of image data may be automatically selected by matching the candidate image corpora against user query images. Selected image corpora may be added to a training corpus to improve recognition coverage. In yet another example, objects unknown to a visual object recognition module may be discovered by clustering query images. Clusters of similar query images may be annotated and added into a training corpus to improve recognition coverage.
Systems And Methods For Matching Visual Object Components
Yuan Li - Los Angeles CA, US Hartwig Adam - Marina del Rey CA, US
Assignee:
Google Inc. - Mountain View CA
International Classification:
G06K 9/62
US Classification:
382159, 382209
Abstract:
Systems and methods for modeling the occurrence of common image components (e. g. , sub-regions) in order to improve visual object recognition are disclosed. In one example, a query image may be matched to a training image of an object. A matched region within the training image to which the query image matches may be determined and a determination may be made whether the matched region is located within an annotated image component of the training image. When the matched region matches only to the image component, an annotation associated with the component may be identified. In another example, sub-regions within a plurality of training image corpora may be annotated as common image components including associated information (e. g. , metadata). Matching sub-regions appearing in many training images of objects may be down-weighted in the matching process to reduce possible false matches to query images including common image components.
A gas vortex device for an internal combustion engine includes at least a guider body installed in a predetermined position of a flowing passage provided between an inlet chamber of a cylinder body and an exhaling end of an air inputting arrangement of the internal combustion engine. The guider body which has an inlet end and an outlet end installed in such a manner that the outlet end should be more proximate to the inlet chamber of the cylinder body than the inlet end. The guider body further has an axial portion and at least two guiding wings extending symmetrically, outwardly and radially from the axial portion. Therefore, a gas mixture including the air and the atomized fuel that are sucked into the flowing passage from the air inputting arrangement are forced to flow through the guider body, inhaling through the inlet end and exhaling from the outlet end thereof before sucking into the inlet chamber of the cylinder body, so that the gas flow is guided by the guiding wings to spin and speed up such whirling motion. Therefore the gas mixture sucking into the inlet chamber of the cylinder body is spinning continuously in vortex form, so as to further atomize the atomized fuel particles to more diminutive tiny particles and more evenly and completely mix the air and atomized fuel particles.
Automatic Loudspeaker Room Equalization Based On Sound Field Estimation With Artificial Intelligence Models
One embodiment provides a computer-implemented method that includes acquiring, via at least one microphone, sound pressure data at one or more discrete frequencies obtained from a frequency response of a loudspeaker in a room. The sound pressure data is input into an artificial intelligence (AI) model that analyses and processes information, and that incorporates a relationship between the frequency response and at least one of an energy average (EA) in a listening area or a total sound power (TSP) produced by the loudspeaker. The AI model automatically estimates, without user interaction, the at least one of the EA in the listening area or the TSP produced by the loudspeaker.
Spring Loaded Compliant Coolant Distribution Manifold For Direct Liquid Cooled Modules
- Mountain View CA, US Connor Burgess - Alameda CA, US Padam Jain - San Jose CA, US Jorge Padilla - Union City CA, US Feini Zhang - Sunnyvale CA, US Yuan Li - Sunnyvale CA, US
International Classification:
H01L 23/433 F28F 9/02 H05K 7/20
Abstract:
Systems and methods for using spring force based compliance to minimize the bypass liquid flow gaps between the tops of chip microfins and bottom side of manifold ports are disclosed herein. A fluid delivery and exhaust manifold structure provides direct liquid cooling of a module. The manifold sits on top of a chip with flow channels. Inlet and outlet channels of the manifold in contact with flow channels of the chip creates an intricate crossflow path for the coolant resulting in improved heat transfer between the chip and the working fluid. The module is also designed with pressure reduction features using internal leakage flow openings to account for pressure differential between fluid entering and being expelled from the module.
Weight Optimized Stiffener And Sealing Structure For Direct Liquid Cooled Modules
- Mountain View CA, US Connor Burgess - Alameda CA, US Padam Jain - San Jose CA, US Yuan Li - Sunnyvale CA, US
International Classification:
H01L 23/00 H01L 23/16 H01L 23/473
Abstract:
A weight optimized stiffener for use in a semiconductor device is disclosed herein. In one example, the stiffener is made of AlSiC for its weight and thermal properties. An O-ring provides sealing between a top surface of the stiffener and a component of the semiconductor device and adhesive provides sealing between a bottom surface of the stiffener and another component of the semiconductor device. The stiffener provides warpage control for a lidless package while enabling direct liquid cooling of a chip or substrate.
Name / Title
Company / Classification
Phones & Addresses
Yuan Li Chief Executive
Fineworks Marble & Granite Special Trade Contractors
1286 Purdue St, San Leandro, CA 94577
Yuan Li
U.S. Investment Regional Center, LLC
801 E Walnut St, Pasadena, CA 91101
Yuan Zheng Li
GOLDEN FLOWER INC
Yuan Li
CROSS TIME INTERNATIONAL TRADE LLC
Yuan W Li
JING & YINGS FOOD INC
Yuan Li President
SUNRISE CAREGIVER FOUNDATION INC Civic/Social Association
5670 Wilshire Blvd STE 1410, Los Angeles, CA 90036 388 E Vly Blvd, Alhambra, CA 91801
Aug 2014 to 2000 Senior Financial AnalystMoss Adams LLP San Francisco, CA Nov 2013 to Aug 2014 AuditorWilson Markle Stuckey Hardesty & Bott, LLC Larkspur, CA Jan 2008 to Dec 2012 Senior AuditorMaze & Associates, LLC Pleasant Hill, CA Aug 2007 to Dec 2007 Auditor
Education:
Sonoma State University Rohnert Park, CA Jul 2007 BS in Accounting
Oct 2014 to 2000 Portfolio analyst and research internINCREMENTAL INSIGHTS INC. Cleveland, OH Jan 2014 to Oct 2014 Emerging Market Investment Research Intern (China Focused)CHINA CONSTRUCTION BANK Huzhou, CN May 2013 to Jul 2013 International Settlement AssistantCHINA CONSTRUCTION BANK
May 2013 to Jun 2013 Retail Bank InternArchive Department Huzhou, CN Jun 2010 to Jul 2010 Statistician InternCHINA PACIFIC INSURANCE(GROUP) CO., INC Huzhou, CN Jun 2009 to Aug 2009 Claims Intern
Education:
UNIVERSITY OF NEBRASKA-LINCOLN Lincoln, NE 2010 to 2012 Bachelor of Science in Business AdministrationWEATHERHEAD SCHOOL OF MANAGEMENT Case Western Reserve University Cleveland, OH Master of Science in Management
Skills:
Computer Skills: excellent in MS Office, Pivot Table, If function, SumIf function, Simulations, SQL, SAS, SPSS, Event Study, Bloomberg Terminal Financial skills: Technical analysis, Financial modeling, Time Series Analysis, Risk management: VaR, Backtesting, Stress Testing, Monte Carlo Simulation Investing: derivatives (Forwards, FRM, options, Fixed Income, mutual funds, ADRs, ETFs, Hedge funds) Others: Insurance rating systems and FOREX, loan process Language Skills: fluent in English and Mandarin
Dr. Li graduated from the Sun Yat Sen Univ of Med Sci, Guangzhou, China (242 21 Pr 1/71) in 1987. She works in Flushing, NY and specializes in Internal Medicine. Dr. Li is affiliated with Flushing Hospital Medical Center and Queens Hospital Center.