Michael Jay Horowitz

8358811, Jan 22, 2013

Apr 1, 2009

12/416632

Hartwig Adams - Los Angeles CA, US
Johannes Steffens - Westoverledingen, DE
Keith Kiyohara - Santa Monica CA, US
Hartmut Neven - Malibu CA, US
Brian Westphal - Reno NV, US
Tobias Magnusson - Los Angeles CA, US
Gavin Doughtie - Pasadena CA, US
Henry Benjamin - Sherman Oaks CA, US
Michael Horowitz - Manhattan Beach CA, US

Google Inc. - Mountain View CA

G06K 9/00
G06F 7/00

382118, 707705

A method and apparatus for creating and updating a facial image database from a collection of digital images is disclosed. A set of detected faces from a digital image collection is stored in a facial image database, along with data pertaining to them. At least one facial recognition template for each face in the first set is computed, and the images in the set are grouped according to the facial recognition template into similarity groups. Another embodiment is a naming tool for assigning names to a plurality of faces detected in a digital image collection. A facial image database stores data pertaining to facial images detected in images of a digital image collection. In addition, the naming tool may include a graphical user interface, a face detection module that detects faces in images of the digital image collection and stores data pertaining to the detected faces in the facial image database, a face recognition module that computes at least one facial recognition template for each facial image in the facial image database, and a similarity grouping module that groups facial images in the facial image database according to the respective templates such that similar facial images belong to one similarity group.

20130251217, Sep 26, 2013

Dec 17, 2012

13/717426

Hartwig ADAM - Los Angeles CA, US
Johannes Steffens - Westeroverledingen, DE
Keith Kiyohara - Mountain View CA, US
Harmut Neven - Malibu CA, US
Brian Westphal - Reno NV, US
Tobias Magnusson - Los Angeles CA, US
Gavin Doughtie - Pasadena CA, US
Henry Benjamin - Sherman Oaks CA, US
Michael Horowitz - Manhattan Beach CA, US

G06K 9/00

382118

A method and apparatus for creating and updating a facial image database from a collection of digital images is disclosed. A set of detected faces from a digital image collection is stored in a facial image database, along with data pertaining to them. At least one facial recognition template for each face in the first set is computed, and the images in the set are grouped according to the facial recognition template into similarity groups. Another embodiment is a naming tool for assigning names to a plurality of faces detected in a digital image collection. A facial image database stores data pertaining to facial images detected in images of a digital image collection. In addition, the naming tool may include a graphical user interface, a face detection module that detects faces in images of the digital image collection and stores data pertaining to the detected faces in the facial image database, a face recognition module that computes at least one facial recognition template for each facial image in the facial image database, and a similarity grouping module that groups facial images in the facial image database according to the respective templates such that similar facial images belong to one similarity group.

46418989, Feb 10, 1987

Sep 26, 1985

6/842811

Michael D. Horowitz - Thousand Oaks CA
Robin M. Horowitz - Thousand Oaks CA

A47B 6702
A47B 8100

312209

A feminine hygiene cabinet which includes a plurality of compartments which are to contain a quantity of different types of feminine hygiene products. This cabinet is designed to be located within a conventional toilet facility and is designed to connect with a conventional toilet paper dispenser so that the cabinet will always be abuttingly located against a wall within the toilet facility regardless of variances in the installation of the toilet paper dispenser within the toilet facility.

20220180255, Jun 9, 2022

Dec 13, 2021

17/549642

- Beverly Hills CA, US
Samuel Levin - Los Angeles CA, US
John Carnahan - Los Angeles CA, US
Michael Horowitz - Manhattan Beach CA, US
Alexander Hazboun - Los Angeles CA, US

G06Q 10/02
H04L 9/40
G06Q 30/02

Techniques herein attempt to provide actors with more flexible and satisfactory experiences regarding obtaining tickets for an event. A learning model may identify attributes indicative of whether a particular actor (e.g., attempting to purchase tickets to an event) possesses a desirable characteristic (e.g., is likely to attend the event). Each actor can then be evaluated to estimate whether she is a good actor (possesses the characteristic). If so, favored opportunities may be made available, such as the opportunity to buy high-demand tickets. An actor may further have the opportunity to hold or reserve tickets for a period time, during which other actors cannot purchase them. A fee for holding or reserving tickets (and/or maintaining the hold or reserve) can be dynamically set based on market factors. Opportunities to modify seat assignments to allow a group of friends to sit together may also be provided.

20210067567, Mar 4, 2021

Sep 14, 2020

17/020512

- Beverly Hills CA, US
Raymond Yung-Chien Lew - Los Angeles CA, US
Debbie Hsu - Los Angeles CA, US
Michael Horowitz - Manhattan Beach CA, US
Bradford J. Bensen - Gilbert AZ, US
John Carnahan - Los Angeles CA, US

H04L 29/06
H04L 12/911
G06Q 10/02
G06Q 30/06
H04L 12/58
H04L 29/08

Systems and methods for facilitating shared access-right evaluation using linked communication channels are provided. A first communication can be received over a first communication link from a first user device, and a second communication can be received over a second communication link from a second user device. The first and second communications can include requests for the assignment of access rights. Map data can be generated and transmitted to each of the first and second user devices. Each user device can display a visual representation of access-right data. Further, a communication session can be facilitated between the first user device and the second user device. The communication session can be presented on the visual representation for each user device so that the first user and the second user can collaboratively evaluate access rights.

20190075140, Mar 7, 2019

Aug 13, 2018

16/102311

- Beverly Hills CA, US
Raymond Yung-Chien Lew - Los Angeles CA, US
Debbie Hsu - Los Angeles CA, US
Michael Horowitz - Manhattan Beach CA, US
Bradford J. Bensen - Gilbert AZ, US
John Carnahan - Los Angeles CA, US

H04L 29/06
H04L 29/08
H04L 12/58
H04L 12/911
G06Q 10/02
G06Q 30/06

Systems and methods for facilitating shared access-right evaluation using linked communication channels are provided. A first communication can be received over a first communication link from a first user device, and a second communication can be received over a second communication link from a second user device. The first and second communications can include requests for the assignment of access rights. Map data can be generated and transmitted to each of the first and second user devices. Each user device can display a visual representation of access-right data. Further, a communication session can be facilitated between the first user device and the second user device. The communication session can be presented on the visual representation for each user device so that the first user and the second user can collaboratively evaluate access rights.

20180357573, Dec 13, 2018

Apr 23, 2018

15/960208

- Beverly Hills CA, US
Samuel Levin - Los Angeles CA, US
John Carnahan - Los Angeles CA, US
Michael Horowitz - Manhattan Beach CA, US
Alexander Hazboun - Los Angeles CA, US

G06Q 10/02
G06Q 30/02
H04L 29/06

Techniques herein attempt to provide actors with more flexible and satisfactory experiences regarding obtaining tickets for an event. A learning model may identify attributes indicative of whether a particular actor (e.g., attempting to purchase tickets to an event) possesses a desirable characteristic (e.g., is likely to attend the event). Each actor can then be evaluated to estimate whether she is a good actor (possesses the characteristic). If so, favored opportunities may be made available, such as the opportunity to buy high-demand tickets. An actor may further have the opportunity to hold or reserve tickets for a period time, during which other actors cannot purchase them. A fee for holding or reserving tickets (and/or maintaining the hold or reserve) can be dynamically set based on market factors. Opportunities to modify seat assignments to allow a group of friends to sit together may also be provided.

20150066546, Mar 5, 2015

Oct 25, 2013

14/063890

- Beverly Hills CA, US
Samuel Levin - Los Angeles CA, US
John Carnahan - Los Angeles CA, US
Michael Horowitz - Manhattan Beach CA, US
Alexander Hazboun - Los Angeles CA, US

Live Nation Entertainment, Inc. - Beverly Hills CA

G06Q 10/02

705 5

Techniques herein attempt to provide actors with more flexible and satisfactory experiences regarding obtaining tickets for an event. A learning model may identify attributes indicative of whether a particular actor (e.g., attempting to purchase tickets to an event) possesses a desirable characteristic (e.g., is likely to attend the event). Each actor can then be evaluated to estimate whether she is a good actor (possesses the characteristic). If so, favored opportunities may be made available, such as the opportunity to buy high-demand tickets. An actor may further have the opportunity to hold or reserve tickets for a period time, during which other actors cannot purchase them. A fee for holding or reserving tickets (and/or maintaining the hold or reserve) can be dynamically set based on market factors. Opportunities to modify seat assignments to allow a group of friends to sit together may also be provided.