David Allen Kramer

US Patent:

7751475, Jul 6, 2010

Filed:

Jun 22, 2004

Appl. No.:

10/875058

Inventors:

Richard E Crandall - Portland OR, US
Evan T Jones - Portland OR, US
Jason Klivington - Portland OR, US
David Kramer - Santa Clara CA, US

Assignee:

Apple Inc. - Cupertino CA

International Classification:

H04N 7/12
H04N 11/02

US Classification:

37524003, 37524019

Abstract:

Image data to be compressed is first converted from the RGB domain into a gamma-powered YUV domain. A wavelet transform then separates image data into high- and low-detail sectors, incorporating a dynamic scaling method, allowing for optimal resolution. The output data from the wavelet transform is then quantized according to an entropy-prediction algorithm that tightly controls the final size of the processed image. An adaptive Golomb engine compresses the data using an adaptive form of Golomb encoding in which mean values are variable across the data. Using variable mean values reduces the deleterious effects found in conventional Golomb encoding in which localized regions of similar data are inefficiently coded if their bit values are uncommon in the data as a whole. Inverse functions are applied to uncompress the image, and a fractal dithering engine can additionally be applied to display an image on a display of lower color depth.

US Patent:

D635099, Mar 29, 2011

Filed:

Aug 27, 2010

Appl. No.:

29/368703

Inventors:

David Kramer - Vancouver WA, US

International Classification:

1303

US Classification:

D13152, D8353

US Patent:

7996458, Aug 9, 2011

Filed:

Jan 28, 2004

Appl. No.:

10/766246

Inventors:

Robert David Nielsen - Palo Alto CA, US
Robert D. Willhoite - Campbell CA, US
David Kramer - Portland OR, US

Assignee:

Apple Inc. - Cupertino CA

International Classification:

G06F 15/16
G06F 9/46

US Classification:

709203, 709202, 718103, 718104

Abstract:

A method and apparatus are provided for assigning tasks in a distributed system. The method comprises indicating to one or more remote systems in the distributed system that a task is available for processing based on a list identifying the one or more remote systems. The method further comprises receiving at least one response from the one or more remote systems capable of performing the task based on the indication. The method comprises allowing at least one of the remote systems to perform the task based on the at least one received response.

US Patent:

20100322305, Dec 23, 2010

Filed:

May 24, 2010

Appl. No.:

12/785692

Inventors:

Richard Eugene Crandall - Portland OR, US
Evan T. Jones - Portland OR, US
Jason Klivington - Portland OR, US
David A. Kramer - Santa Clara CA, US

Assignee:

APPLE INC. - Cupertino CA

International Classification:

H04N 7/24

US Classification:

37524003, 375E07226

Abstract:

Image data to be compressed is first converted from the RGB domain into a gamma-powered YUV domain. A wavelet transform then separates image data into high- and low-detail sectors, incorporating a dynamic scaling method, allowing for optimal resolution. The output data from the wavelet transform is then quantized according to an entropy-prediction algorithm that tightly controls the final size of the processed image. An adaptive Golomb engine compresses the data using an adaptive form of Golomb encoding in which mean values are variable across the data. Using variable mean values reduces the deleterious effects found in conventional Golomb encoding in which localized regions of similar data are inefficiently coded if their bit values are uncommon in the data as a whole. Inverse functions are applied to uncompress the image, and a fractal dithering engine can additionally be applied to display an image on a display of lower color depth.

US Patent:

20110307902, Dec 15, 2011

Filed:

Aug 8, 2011

Appl. No.:

13/205447

Inventors:

Robert David Nielsen - Palo Alto CA, US
Robert D. Willhoite - Campbell CA, US
David Kramer - Portland OR, US

International Classification:

G06F 9/46

US Classification:

718104

Abstract:

A method and apparatus are provided for assigning tasks in a distributed system. The method comprises indicating to one or more remote systems in the distributed system that a task is available for processing based on a list identifying the one or more remote systems. The method further comprises receiving at least one response from the one or more remote systems capable of performing the task based on the indication. The method comprises allowing at least one of the remote systems to perform the task based on the at least one received response.