Yuan Li

US Patent:

8438163, May 7, 2013

Filed:

Dec 7, 2011

Appl. No.:

13/314061

Inventors:

Yuan Li - Los Angeles CA, US
Hartwig Adam - Marina del Rey CA, US

Assignee:

Google Inc. - Mountain View CA

International Classification:

G06F 17/30

US Classification:

707737, 707706, 707722, 707754, 707915, 382159, 382195, 382209

Abstract:

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.

US Patent:

8548195, Oct 1, 2013

Filed:

Jun 13, 2008

Appl. No.:

12/664588

Inventors:

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.

US Patent:

8577131, Nov 5, 2013

Filed:

Jul 12, 2011

Appl. No.:

13/181015

Inventors:

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.

US Patent:

8625887, Jan 7, 2014

Filed:

Jul 13, 2011

Appl. No.:

13/182076

Inventors:

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.

US Patent:

56852819, Nov 11, 1997

Filed:

Apr 22, 1996

Appl. No.:

8/635663

Inventors:

Yuan Li - Alhambra CA

International Classification:

F02M 2900

US Classification:

123590

Abstract:

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.

US Patent:

55554717, Sep 10, 1996

Filed:

May 24, 1995

Appl. No.:

8/449353

Inventors:

Yiping Xu - Tucson AZ
Yuan J. Li - Tucson AZ

Assignee:

Wyko Corporation - Tucson AZ

International Classification:

G01B 902

US Classification:

356357

Abstract:

The film thickness and surface profile of a test sample consisting of optically dissimilar regions are measured by phase-shifting interferometry. Conventional phase-shifting interferometry at a given wavelength is performed to measure the step height between two regions of the surface. The theoretical measured step height as a function of the film thickness is then calculated. A set of possible solutions corresponding to the experimentally measured-height are found numerically or graphically by searching the theoretically generated function at the measured height. If more than one solution exists, the phase-shifting procedure is repeated at a different wavelength and a new theoretical measured-height as a function of the film thickness is calculated for the optical parameters of the materials at the new wavelength, yielding another set of possible solutions that correspond to the newly measured height. The number of repetitions of the procedure depends on the number of unknowns of the test sample. The film thicknesses are obtained by comparing all possible solution sets and finding the single combination of thicknesses corresponding to the experimentally measured heights at different measurement wavelengths.

US Patent:

20220256305, Aug 11, 2022

Filed:

Feb 8, 2021

Appl. No.:

17/170610

Inventors:

- Suwon-si, KR
Yuan Li - Northridge CA, US

International Classification:

H04S 7/00
G06N 3/04

Abstract:

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.

US Patent:

20150169575, Jun 18, 2015

Filed:

Feb 5, 2013

Appl. No.:

13/759631

Inventors:

Google Inc. - , US
Sylvain Gelly - Olten, CH
Yuan Li - Los Angeles CA, US
Taehee Lee - Los Angeles CA, US

Assignee:

Google Inc. - Mountain View CA

International Classification:

G06F 17/30

Abstract:

Methods, systems, and apparatus for scoring images related to entities. In one aspect, a method includes identifying images associated with a person, each image being included in one or more resources; obtaining, for each resource that includes one of the images, a quality score that represents a quality of the resource; for each of the images: generating an image resource quality score from the quality scores of the resources that include the image; identifying a set of similar images from the images, each similar image having a measure of similarity to the image that meets a similarity measure threshold; generating an image score based on image resource quality scores of the resources that include the similar images relative to image resource quality scores of the resources that include each of the images; and generating an image authority score based on the image resource quality score and the image score.