Yian Te Xu

US Patent:

20110080946, Apr 7, 2011

Filed:

Oct 6, 2009

Appl. No.:

12/574409

Inventors:

Junlin Li - San Jose CA, US
Dihong Tian - San Jose CA, US
Wen-hsiung Chen - Sunnyvale CA, US
Yian Xu - Los Gatos CA, US

International Classification:

H04N 11/04

US Classification:

37524003, 375E07001

Abstract:

A coding method, apparatus, and storage media with instructions to carry out a method. The method operates on an ordered series of transform coefficients of a block of image data, and for a fixed quantization method, and includes quantizing and encoding the ordered series to form a coded bitstream. The quantizing and encoding uses one or more variable length code (VLC) mappings. The quantizing includes quantizing to have amplitude-1 at least one coefficient that would be quantized by the fixed quantization method to have zero amplitude, quantizing to have zero amplitude at least one coefficient that would be quantized by the fixed quantization method to have amplitude-1, and using the fixed quantization method to quantize any coefficient that is quantized by the fixed quantization method not to have zero amplitude, amplitude-1, or amplitude-2.

US Patent:

20120020408, Jan 26, 2012

Filed:

Jul 20, 2010

Appl. No.:

12/840080

Inventors:

Wen-hsiung Chen - Sunnyvale CA, US
Yian Xu - Los Gatos CA, US

International Classification:

H04N 7/26

US Classification:

37524003, 375E07076, 375E07027

Abstract:

Classifying a series of quantized transform coefficients of a block of image data into one of a pre-defined plurality of classes for entropy coding, and entropy coding the block. A class is defined by at least the size of the block and typically but not necessarily one or more other factors. The classified series is coded by one of a set of pre-defined entropy coding methods, e.g., variable length coding methods for the pre-defined classes.

US Patent:

20160065428, Mar 3, 2016

Filed:

Aug 29, 2014

Appl. No.:

14/472928

Inventors:

- Arlington VA, US
Yian Xu - Los Gatos CA, US
Yong Gao - Fremont CA, US

International Classification:

H04L 12/26
H04L 12/24

Abstract:

A device receives information associated with network devices of a network, such as device information associated with components of the network devices, application information generated by the network devices, or network information associated with interactions of the network devices. The device performs an analysis of the information associated with the network devices via analytics techniques in near real time, and generates analysis information based on the analysis of the information associated with the network devices. The device provides the analysis information for display.

US Patent:

20160065594, Mar 3, 2016

Filed:

Aug 29, 2014

Appl. No.:

14/472886

Inventors:

- Arlington VA, US
Yong Gao - Fremont CA, US
Yian Xu - Los Gatos CA, US

International Classification:

H04L 29/06

Abstract:

A device receives user information associated with a user of a user device that is associated with a network, and creates a user profile, associated with the user, based on the user information. The device determines threats to the network, by the user, based on the user profile. The threats to the network include insider threats, advanced persistent threats, bring your own device (BYOD) threats, cloud security threats, malware threats, and/or denial of service (DoS) threats. The device stores or presents, for display, information associated with the determined threats to the network by the user.

US Patent:

20150103893, Apr 16, 2015

Filed:

Dec 19, 2014

Appl. No.:

14/578304

Inventors:

- San Jose CA, US
Yian Xu - Los Gatos CA, US

International Classification:

H04N 19/91
H04N 19/60
H04N 19/124

US Classification:

37524003

Abstract:

Classifying a series of quantized transform coefficients of a block of image data into one of a pre-defined plurality of classes for entropy coding, and entropy coding the block. A class is defined by at least the size of the block and typically but not necessarily one or more other factors. The classified series is coded by one of a set of pre-defined entropy coding methods, e.g., variable length coding methods for the pre-defined classes.