EVAN ROGER JONES, PHYSICAL THERAPIST
Physical Therapy at State St, Salem, OR
License number
Oregon 0701
Category
Restorative Service Providers
Type
Physical Therapist
Address
Address
2
3400 State St STE G704, Salem, OR 97301
16083 SW Upper Boones Ferry Rd STE 300, Portland, OR 97224
16083 SW Upper Boones Ferry Rd STE 300, Portland, OR 97224
Phone
(503) 378-7434
(503) 362-2703 (Fax)
(800) 219-8835
(503) 639-9699 (Fax)
(503) 362-2703 (Fax)
(800) 219-8835
(503) 639-9699 (Fax)
Professional information
At Guildworks
Position:
Technical Design Lead at Guildworks
Location:
Portland, Oregon Area
Industry:
Design
Work:
Guildworks
since Jun 2010
-
Technical Design Lead
Dr. D Studios
Jan 2009 - May 2010
-
Senior Programmer
Laika
2007 - 2008
-
UI Developer
Apple
Feb 2002 - Mar 2007
-
Algorithm Researcher
Education:
Reed College 1997 - 2001
B.A., Mathematics, Psychology
B.A., Mathematics, Psychology
Fast Lossless Encoder For Digitized Analog Data
US Patent:
7643693, Jan 5, 2010
Filed:
Apr 16, 2004
Appl. No.:
10/826927
Inventors:
Richard E Crandall - Portland OR, US
Evan T Jones - Portland OR, US
Jason Klivington - Portland OR, US
Mitchell Oslick - Mountain View CA, US
Evan T Jones - Portland OR, US
Jason Klivington - Portland OR, US
Mitchell Oslick - Mountain View CA, US
Assignee:
Apple Inc. - Cupertino CA
International Classification:
G06K 9/36, G06K 9/46
US Classification:
382244, 382166, 382238
Abstract:
Lossless compression and the corresponding decompression of image and audio data are enabled using a combination of dynamic prediction and Golomb coding. First, data is converted from the RGB domain into the YUV domain. Next, a dynamic prediction algorithm is run to express pixel values as differential values rather than original bit values. Prediction coefficients are re-evaluated on the fly enabling additional compression because of more accurate predictors. An Adaptive Golomb Engine next performs an additional compression step, using an adaptive form of Golomb encoding in which mean values are variable across the data. The use of 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.
Evan R Jones, Salem OR - PT (Physical therapy)
Specialties:
Physical Therapy
Address:
632 Catterlin St NE STE 201, Salem 97301
(503) 378-7434 (Phone), (503) 362-2703 (Fax)
(503) 378-7434 (Phone), (503) 362-2703 (Fax)
Languages:
English
Evan Roger Jones, Salem OR
Specialties:
Physical Therapist
Address:
632 Catterlin St Ne, Salem, OR 97301
Arbitrary-Resolution, Extreme-Quality Video Codec
US Patent:
2010032, 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
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.
Arbitrary-Resolution, Extreme-Quality Video Codec
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
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.