Xing X Li

US Patent:

20100046856, Feb 25, 2010

Filed:

Aug 25, 2008

Appl. No.:

12/197348

Inventors:

Yingjun Bai - San Jose CA, US
Xing Li - Webster NY, US

Assignee:

Xerox Corporation - Norwalk CT

International Classification:

G06K 9/32

US Classification:

382293

Abstract:

A system and method convert a pixel of binary image data to a pixel of contone image data by determining if a predetermined pixel of binary image data is part of a solid edge or part of a fuzzy edge. A binary to contone conversion circuit converts the predetermined pixel of binary image data to a pixel of a first contone image data value, and a filter circuit converts the predetermined pixel of binary image data to a pixel of a second contone image data value. The filter circuit uses an adaptive filtering operation wherein the adaptive filtering operation utilizes one of a plurality of sets of weighting coefficients to change a characteristic of the filtering operation. The set of weighting coefficients used in the filtering operation are selected in response to a fuzzy edge detection. A selection between the first contone image data value and the second contone image data value is made based upon the determination as whether the predetermined pixel of binary image data is part of a solid edge.

US Patent:

20220279123, Sep 1, 2022

Filed:

Feb 26, 2022

Appl. No.:

17/681772

Inventors:

Xing Li - Cupertino CA, US
Shujuan Yuan - San Jose CA, US

International Classification:

H04N 5/232
G06T 7/11
G06T 7/00
G06T 7/80
G06V 10/25

Abstract:

A portable computer-vision-based non-contact vibration detection system and method. The system can process small vibrations and large vibrations separately in the captured images. The small vibrations can be enhanced, and the enhanced small vibrations are analyzed, and the analysis results of the small vibrations and large vibrations are fused, and the processed images are displayed through a GUI. The analysis results include displacements in Region of Interest, vibration frequencies or cycles, vibration amplitudes and phase angles, root mean square (RMS) values, etc., along with overall ‘virtual’ snapshots of vibrations with maximum amplitudes during the working period of the camera.

US Patent:

20220188550, Jun 16, 2022

Filed:

Aug 3, 2021

Appl. No.:

17/393373

Inventors:

- Sunnyvale CA, US
Le KANG - Dublin CA, US
Xin ZHOU - Mountain View CA, US
Hao TIAN - Cupertino CA, US
Xing LI - Santa Clara CA, US

Assignee:

Baidu USA LLC - Sunnyvale CA

International Classification:

G06K 9/00
G11B 27/19
G11B 27/031
G06N 3/04
G06N 7/00
G06N 3/08

Abstract:

Presented herein are systems, methods, and datasets for automatically and precisely generating highlight or summary videos of content. For example, in one or more embodiments, videos of sporting events may be digested or condensed into highlights, which will dramatically benefit sports media, broadcasters, video creators or commentators, or other short video creators, in terms of cost reduction, fast, and mass production, and saving tedious engineering hours. Embodiment of the framework may also be used or adapted for use to better promote sports teams, players, and/or games, and produce stories to glorify the spirit of sports or its players. While presented in the context of sports, it shall be noted that the methodology may be used for videos comprising other content and events.

US Patent:

20220189173, Jun 16, 2022

Filed:

Nov 23, 2021

Appl. No.:

17/533769

Inventors:

- Sunnyvale CA, US
Le KANG - Dublin CA, US
Zhiyu CHENG - Sunnyvale CA, US
Hao TIAN - Cupertino CA, US
Daming LU - Dublin CA, US
Dapeng LI - Los Altos CA, US
Jingya XUN - San Jose CA, US
Jeff WANG - San Jose CA, US
Xi CHEN - San Jose CA, US
Xing LI - Santa Clara CA, US

Assignee:

Baidu USA LLC - Sunnyvale CA

International Classification:

G06V 20/40
G06F 40/205
G10L 13/08
G06F 16/783
G06N 3/08
G06F 16/78
G06N 3/04
G06V 30/148

Abstract:

Presented herein are systems, methods, and datasets for automatically and precisely generating highlight or summary videos of content. In one or more embodiments, the inputs comprise a text (e.g., an article) of the key event(s) (e.g., a goal, a player action, etc.) in an activity (e.g., a game, a concert, etc.) and a video or videos of the activity. In one or more embodiments, the output is a short video of an event or events in the text, in which the video may include commentary about the highlighted events and/or other audio (e.g., music), which may also be automatically synthesized.

US Patent:

20230055636, Feb 23, 2023

Filed:

Jan 10, 2022

Appl. No.:

17/572624

Inventors:

- Sunnyvale CA, US
Le KANG - Dublin CA, US
Xin ZHOU - Mountain View CA, US
Hao TIAN - Cupertino CA, US
Xing LI - Santa Clara CA, US
Bo HE - Sunnyvale CA, US
Jingyu XIN - Tucson AZ, US

Assignee:

Baidu USA LLC - Sunnyvale CA

International Classification:

G06V 20/40
G06N 3/08
G06V 10/42

Abstract:

With rapidly evolving technologies and emerging tools, sports-related videos generated online are rapidly increasing. To automate the sports video editing/highlight generation process, a key task is to precisely recognize and locate events-of-interest in videos. Embodiments herein comprise a two-stage paradigm to detect categories of events and when these events happen in videos. In one or more embodiments, multiple action recognition models extract high-level semantic features, and a transformer-based temporal detection module locates target events. These novel approaches achieved state-of-the-art performance in both action spotting and replay grounding. While presented in the context of sports, it shall be noted that the systems and methods herein may be used for videos comprising other content and events.

US Patent:

20210408766, Dec 30, 2021

Filed:

Aug 21, 2020

Appl. No.:

16/947876

Inventors:

- San Jose CA, US
Xing LI - San Jose CA, US
Hery DJIE - San Jose CA, US

International Classification:

H01S 5/34

Abstract:

A semiconductor layer structure may include a substrate, a blocking layer disposed over the substrate, and one or more epitaxial layers disposed over the blocking layer. The blocking layer may have a thickness of between 50 nanometers (nm) and 4000 nm. The blocking layer may be configured to suppress defects from the substrate propagating to the one or more epitaxial layers. The one or more epitaxial layers may include a quantum-well layer that includes a quantum-well intermixing region formed using a high temperature treatment.

US Patent:

20210118423, Apr 22, 2021

Filed:

Oct 21, 2019

Appl. No.:

16/659550

Inventors:

- Sunnyvale CA, US
Zhenyu ZHONG - Sunnyvale CA, US
Yueqiang CHENG - Sunnyvale CA, US
Xing LI - Sunnyvale CA, US
Tao WEI - Sunnyvale CA, US

International Classification:

G10L 13/047
G10L 19/018
G10L 25/30

Abstract:

According to various embodiments, an end-to-end TTS framework can integrate a watermarking process into the training of the TTS framework, which enables watermarks to be imperceptible within a synthesized/cloned audio segment generated by the TTS framework. The watermarks added in such a matter are statistically undetectable to prevent authorized removal. According to an exemplary method of training the TTS framework, a TTS neural network model and a watermarking neural network mode in the TTS framework are trained in an end to end manner, with the watermarking being part of the optimization process of the TTS framework. During the training, neuron values of the TTS neural network model are adjusted based on training data to prepare one or more spaces for adding a watermark in a synthesized audio segment to be generated by the TTS framework. In response to the neuron value adjustment in the TTS neural network model, neuron values of the watermarking neural network model are accordingly adjusted to add the watermark to the one or more prepared spaces.

US Patent:

20200104371, Apr 2, 2020

Filed:

May 10, 2019

Appl. No.:

16/409503

Inventors:

- Sunnyvale CA, US
Liang HUANG - Mountain View CA, US
Hao XIONG - Beijing, CN
Kaibo LIU - Sunnyvale CA, US
Chuanqiang ZHANG - Beijing, CN
Renjie ZHENG - Corvallis OR, US
Zhongjun HE - Beijing, CN
Hairong LIU - San Jose CA, US
Xing LI - Santa Clara CA, US
Hua Wu - Beijing, CN
Haifeng WANG - Beijing, CN

Assignee:

Baidu USA LLC - Sunnyvale CA

International Classification:

G06F 17/28
G06F 17/27
G06N 3/08

Abstract:

Presented herein are embodiments of a prefix-to-prefix framework for simultaneous translation that implicitly learns to anticipates in a single translation. Within these frameworks are effective “wait-k” policy model embodiments that may be trained to generate a target sentence concurrently with a source sentence but lag behind by a predefined number of words. Embodiments of the prefix-to-prefix framework achieve low latency and better quality when compared to full-sentence translation in four directions: Chinese↔English and German↔English. Also presented herein is a novel latency metric that addresses deficiencies of previous latency metrics.