Louis D Brandy

8401252, Mar 19, 2013

Dec 20, 2010

12/972831

Henry Schneiderman - Pittsburgh PA, US
Michael C. Nechyba - Pittsburgh PA, US
Uriel G. Rodriguez - Pittsburgh PA, US
Louis D. Brandy - Pittsburgh PA, US

Google Inc. - Mountain View CA

G06K 9/00

382118

A method and apparatus for video retrieval and cueing that automatically detects human faces in the video and identifies face-specific video frames so as to allow retrieval and viewing of person-specific video segments. In one embodiment, the method locates human faces in the video, stores the time stamps associated with each face, displays a single image associated with each face, matches each face against a database, computes face locations with respect to a common 3D coordinate system, and provides a means of displaying: 1) information retrieved from the database associated with a selected person or people, 2) path of travel associated with a selected person or people, 3) interaction graph of people in video, 4) video segments associated with each person and/or face. The method may also provide the ability to input and store text annotations associated with each person, face, and video segment, and the ability to enroll and remove people from database. The videos of non-human objects may be processed in a similar manner.

20080080743, Apr 3, 2008

Sep 29, 2006

11/540619

Henry Schneiderman - Pittsburgh PA, US
Michael C. Nechyba - Pittsburgh PA, US
Uriel G. Rodriguez - Pittsburgh PA, US
Louis D. Brandy - Pittsburgh PA, US

G06K 9/00

382118

A method and apparatus for video retrieval and cueing that automatically detects human faces in the video and identifies face-specific video frames so as to allow retrieval and viewing of person-specific video segments. In one embodiment, the method locates human faces in the video, stores the time stamps associated with each face, displays a single image associated with each face, matches each face against a database, computes face locations with respect to a common 3D coordinate system, and provides a means of displaying: 1) information retrieved from the database associated with a selected person or people, 2) path of travel associated with a selected person or people 3) interaction graph of people in video, 4) video segments associated with each person and/or face. The method may also provide the ability to input and store text annotations associated with each person, face, and video segment, and the ability to enroll and remove people from database. The videos of non-human objects may be processed in a similar manner. Because of the rules governing abstracts, this abstract should not be used to construe the claims.

20170185665, Jun 29, 2017

Dec 28, 2015

14/980572

- Menlo Park CA, US
Marcin Pawlowski - Mountain View CA, US
Fei Yang - Fremont CA, US
Lubomir Bourdev - Mountain View CA, US
Louis Dominic Brandy - Sunnyvale CA, US
Robert D. Fergus - New York NY, US

G06F 17/30
H04L 12/58
H04L 29/08
G06N 99/00

Systems, methods, and non-transitory computer-readable media can obtain a first batch of content items to be clustered. A set of clusters can be generated by clustering respective binary hash codes for each content item in the first batch, wherein content items included in a cluster are visually similar to one another. A next batch of content items to be clustered can be obtained. One or more respective binary hash codes for the content items in the next batch can be assigned to a cluster in the set of clusters.