Zachary G Cohen

US Patent:

20200097149, Mar 26, 2020

Filed:

Jun 20, 2019

Appl. No.:

16/447112

Inventors:

Melissa Ann O'Kane - San Leandro CA, US
Sriram Venkata Krishnan Iyer - Fremont CA, US
Daniel Tafner McGarry - San Francisco CA, US
Douglas M. Lowder - San Leandro CA, US
Zachary Cohen - Mountain View CA, US
Elias Yates Andrew - Mountain View CA, US
Anthony J. Annuzzi - Sunnyvale CA, US
Allyson Paige O'Malley - Palo Alto CA, US
Emily Schwartzman - San Francisco CA, US
Christopher Thomas Sellinger - San Francisco CA, US

Assignee:

salesforce.com, inc. - San Francisco CA

International Classification:

G06F 3/0484
G06F 9/451
G06F 3/0481

Abstract:

A system and method to display Personal Information Management (PIM) application content in one or more PIM application display panes of a graphical user interface (GUI). Some portion of the displayed RIM application content is selected for which to obtain one or more insights. The system obtains PIM application context data relating to selected PIM application content and generates the one or more insights to display in a context-specific display pane based on the received PIM application context data. The generated one or more insights is then displayed in the context-specific display pane.

US Patent:

20190027157, Jan 24, 2019

Filed:

Jan 26, 2017

Appl. No.:

16/072168

Inventors:

- San Francisco CA, US
Zachary Gideon COHEN - San Francisco CA, US
Vivek KUMAR - San Bruno CA, US

Assignee:

Dolby Laboratories Licensing Corporation - San Francisco CA

International Classification:

G10L 19/032
G10L 19/002

Abstract:

An importance metric, based at least in part on an energy metric, may be determined for each of a plurality of received audio objects. Some methods may involve: determining a global importance metric for all of the audio objects, based, at least in part, on a total energy value calculated by summing the energy metric of each of the audio objects; determining an estimated quantization bit depth and a quantization error for each of the audio objects; calculating a total noise metric for all of the audio objects, the total noise metric being based, at least in part, on a total quantization error corresponding with the estimated quantization bit depth; calculating a total signal-to-noise ratio corresponding with the total noise metric and the total energy value; and determining a final quantization bit depth for each of the audio objects by applying a signal-to-noise ratio threshold to the total signal-to-noise ratio.