Pamela Caren Cosman

US Patent:

20060098738, May 11, 2006

Filed:

Jan 9, 2004

Appl. No.:

10/541732

Inventors:

Pamela Cosman - La Jolla CA, US
Athanasios Leontaris - La Jolla CA, US
Vijay Chellapa - La Jolla CA, US

International Classification:

H04N 11/02
H04N 7/12
H04B 1/66
H04N 11/04

US Classification:

375240160, 375240240, 375240120

Abstract:

A dual, and possibly multiple, frame approach is used by the invention. Embodiments of the invention include making a decision to use a long term reference frame, which is a frame other than an immediate past reference frame, to conduct INTER coding, or to conduct INTRA frame coding. Other embodiments include use of long and short term reference blocks, and make a decision between two types of INTER coding blocks and INTRA coding. In accordance with embodiments of the invention, a long term frame is a high quality frame. The high quality frame may be used as a reference frame under particular conditions.

US Patent:

20220360847, Nov 10, 2022

Filed:

Jun 25, 2020

Appl. No.:

17/620082

Inventors:

- Oakland CA, US
Pamela Cosman - La Jolla CA, US
Pranav Venuprasad - Framingham MA, US
Anurag Paul - Sunnyvale CA, US
Tushar Dobhal - Bentonville AR, US
Tu Nguyen - Tay Ninh Province, VN
Andrew Gilman - Tauranga, NZ

International Classification:

H04N 21/442
G06F 3/01

Abstract:

Systems, devices, and methods are disclosed for characterizing joint attention. A method includes dynamically obtaining video streams of participants; dynamically obtaining gaze streams; dynamically providing a cue to the participants to view the object; dynamically detecting a joint gaze based on the gaze streams focusing on the object over a time interval; and dynamically providing feedback based on detecting the joint gaze.

US Patent:

20180286066, Oct 4, 2018

Filed:

Sep 15, 2016

Appl. No.:

15/759106

Inventors:

- Oakland CA, US
Pamela Cosman - La Jolla CA, US

International Classification:

G06T 7/586
G06T 5/00
G06T 5/20
G06T 7/90
H04N 5/225
H04N 5/232

Abstract:

The invention provides a method for depth estimation in image or video obtained from a distorting medium. In the method, a pixel blurriness map is calculated. A rough depth map is then determined from the pixel blurriness map while assuming depth in a small local patch is uniform. The rough depth map is then refined. The method can be implemented in imaging systems, such as cameras or imaging processing computers, and the distorting medium can be an underwater medium, haze, fog, low lighting, or a sandstorm, for example. Preferred embodiments determined the blurriness map by calculating a difference between an original image and multi-scale Gaussian-filtered images to estimate the pixel blurriness map.