Xin Li, Age 475 Forum Ct, Morris Plains, NJ 07950

6456726, Sep 24, 2002

Oct 26, 1999

09/427321

Hong Heather Yu - Plainsboro NJ
Min Wu - Princeton NJ
Xin Li - Princeton NJ
Alexander D. Gelman - Brooklyn NY

Matsushita Electric Industrial Co., Ltd. - Osaka

G06K 900

382100, 713176, 348463

A data hiding system and method for providing a method of embedding multiple layers of hidden data into multimedia data. First, a media unit of the multimedia data is evaluated to determine an appropriate embedding procedure. Next during a first embedding pass, a ruling layer of primary hidden data is embedded into the media unit. In another embedding pass, a governing layer of secondary hidden data is embedded on top of the ruling layer. The secondary hidden data provides control information for controlling the primary hidden data and the host data. Control information such as error correction data, synchronization data, decoding data, and authentication data is embedded in the governing layer. Embedding schemes such as base domain and spectrum domain embedding are employed.

7058570, Jun 6, 2006

Feb 10, 2000

09/499525

Hong Heather Yu - Plainsboro NJ,
Xin Li - Princeton NJ,

Matsushita Electric Industrial Co., Ltd. - Osaka

G10L 19/04

704219

A computer-implemented method and apparatus for embedding hidden data in an audio signal. An audio signal is received in a base domain and then transformed into a non-base domain, such as cepstrum domain or LP residue domain. The statistical mean manipulation is employed on selected transform coefficients to embed hidden data. The introduced distortion is controlled by psychoacoustic model to ensure the imperceptibility of the embedded hidden data. Scrambling techniques can be plugged in to further increase the security of the data hiding system. The present new audio data hiding scheme provides transparent audio quality, sufficient embedding capacity, and high survivability over a wide range of common signal processing attacks.

7987195, Jul 26, 2011

Apr 8, 2008

12/099762

Xin Li - North Bergen NJ,
Dolapo Falola - New York NY,

Google Inc. - Mountain View CA

G06F 7/00
G06F 17/00

707765, 707769

A computer-implemented method includes providing location factors for first phrases in a collection of phrases, where each location factor for a first phrase is associated with a likelihood that a second phrase of a search query is associated with a location when the first phrase and the second phrase are used in the search query. A search query is received, where the received search query includes a first phrase from the collection of phrases and a second phrase. Whether the second phrase of the received search query refers to a location is determined based, at least in part, on the location factor for the first phrase of the search query.

8484222, Jul 9, 2013

Dec 1, 2006

11/607568

Xin Li - North Bergen NJ,
Jiang Qian - Pittsburgh PA,
Daniel T. Egnor - Palo Alto CA,
Lawrence E. Greenfield - Brooklyn NY,

Google Inc. - Mountain View CA

G06F 17/30

707748, 707724

One embodiment of the present invention provides a system that automatically determines if a location is a standalone location, which can be unambiguously identified by a name for the location alone. During operation, the system determines a name score for the location which indicates a popularity of the name for the location. The system also obtains a signature for the location, wherein the signature is a set of combinations of location specifiers, wherein each combination of location specifiers refers to the location. The system then determines a signature score for the location which indicates a popularity of the signature for the location. Finally, the system determines whether the location is a standalone location based on the name score and the signature score.

2011027, Nov 3, 2011

Jul 12, 2011

13/181231

Xin Li - North Bergen NJ,
Dolapo Falola - New York NY,

GOOGLE INC. - Mountain View CA

G06F 17/30

707780, 707E17014

A computer-implemented method includes providing location factors for first phrases in a collection of phrases, where each location factor for a first phrase is associated with a likelihood that a second phrase of a search query is associated with a location when the first phrase and the second phrase are used in the search query. A search query is received, where the received search query includes a first phrase from the collection of phrases and a second phrase. Whether the second phrase of the received search query refers to a location is determined based, at least in part, on the location factor for the first phrase of the search query.