Thai Quoc Tran

US Patent:

20220377403, Nov 24, 2022

Filed:

May 20, 2021

Appl. No.:

17/303118

Inventors:

- ARMONK NY, US
Megan Kostick - Edmonds WA, US
Michael Brewer - Austin TX, US
Thai Quoc Tran - San Jose CA, US

International Classification:

H04N 21/431
H04N 21/45
H04N 21/466

Abstract:

A computer-implemented method for enhancing a video is provided. The method may include generating an annotation matrix comprising extracted video content associated with a video. The method may further include generating a viewer feedback matrix comprising extracted and aggregated viewer feedback, wherein the aggregated viewer feedback comprises a plurality of comments and viewer actions associated with the video, and wherein the plurality of comments appears as text that is located separate from a main window for playing the video. The method may further include generating an overlay matrix by merging the viewer feedback matrix and the annotation matrix. The method may further include generating at least one overlay window for overlaying in the main window of the video at the particular point in time during a playing of the video, wherein the at least one overlay window includes textual information generated from the aggregated viewer feedback.

US Patent:

20230039397, Feb 9, 2023

Filed:

Aug 4, 2021

Appl. No.:

17/444418

Inventors:

- ARMONK NY, US
Weiwei Liu - Irvine CA, US
Thai Quoc Tran - San Jose CA, US
Angela Monique LLOYD - Austin TX, US

International Classification:

G06N 20/00
G06F 30/10

Abstract:

A method, computer system, and a computer program product for determining locations for seams on a 3D model of an object is provided. The present invention may include training an artificial intelligence model using a set of training data. The present invention may include generating a first model for the object using a shrink wrap method. The present invention may include generating a second model for the object using a decimation method. The present invention may include comparing the object to objects in the set of training data to identify an object in the training data having a similar shape. The present invention may include identifying the object by determining if the object fits in between the first and second models. The present invention may lastly include projecting seams onto a model of the object using the trained artificial intelligence model.