Search

Markus H Flierl

from Palo Alto, CA
Age ~49

Markus Flierl Phones & Addresses

  • 1160 Clark Way, Palo Alto, CA 94304 (650) 325-1007
  • 261 Charles Marx Way, Palo Alto, CA 94304 (650) 325-1007
  • Stanford, CA

Resumes

Resumes

Markus Flierl Photo 1

Markus Flierl

View page
Location:
San Francisco Bay Area
Industry:
Computer Software
Markus Flierl Photo 2

Markus Flierl

View page
Location:
San Francisco Bay Area
Industry:
Computer Software
Markus Flierl Photo 3

Markus Flierl

View page
Markus Flierl Photo 4

Markus Flierl

View page

Publications

Us Patents

Methods And Devices For Nebulizing Fluids

View page
US Patent:
6543443, Apr 8, 2003
Filed:
Jul 12, 2000
Appl. No.:
09/614306
Inventors:
Michael Klimowicz - Los Altos CA
Richard Stevens - San Jose CA
Paul Uster - Tracy CA
Joseph Maxwell - Mountain View CA
Markus Flierl - Sunnyvale CA
Assignee:
Aerogen, Inc. - Sunnyvale CA
International Classification:
A61M 1100
US Classification:
12820023, 12820014, 12820016, 12820312, 239338
Abstract:
A nebulizing device having two or more nebulizing elements. The nebulizing device may be used to deliver two or more fluids to the patient or may be used for enhanced fluid flow of a single fluid. The nebulizing elements are preferably vibrating elements with holes therein through which the fluid is expelled when the vibrating elements are vibrated.

Method For Spatially Scalable Video Coding

View page
US Patent:
7616824, Nov 10, 2009
Filed:
Dec 8, 2005
Appl. No.:
11/296224
Inventors:
Markus Flierl - Palo Alto CA,
Pierre Vandergheynst - Pully,
Assignee:
Ecole Polytechnique Fédérale de Lausanne (EPFL) CM - Ecublens - Lausanne
International Classification:
G06K 9/36
H04N 7/12
US Classification:
382240, 37524021
Abstract:
A method for decomposing a digital image at resolution R and MR into a set of spatial sub-bands of resolution R and MR where MR>R and where the high-band at resolution MR is calculated by subtracting the filtered and up-sampled image at resolution R from the image at resolution MR and where the spatial low-band at resolution R is calculated by adding the filtered and down-sampled spatial high-band to the image at resolution R and where a rational factor for up-and down-sampling M is determined by the resolution ratio.

Image Transform For Video Coding

View page
US Patent:
8300693, Oct 30, 2012
Filed:
Jan 17, 2006
Appl. No.:
11/332309
Inventors:
Markus Flierl - Palo Alto CA,
Bernd Girod - Stanford CA,
Pierre Vandergheynst - Pully,
Assignee:
Ecole Polytechnique Federale De Lausanne - Lausanne
The Board of Trustees of the Leland Stanford Junior University - Palo Alto CA
International Classification:
H04N 7/50
US Classification:
37524016, 37524012, 37524018
Abstract:
A method is disclosed for decomposing a set of even and odd pictures into low-band and high-band pictures respectively in a image decomposing unit, in which the even picture is used by at least two prediction motion compensators on which the output signal of each prediction motion compensator is scaled according to the number of prediction motion compensators. The method includes calculating the high-band picture by subtracting from the odd picture the scaled motion-compensated signals and using the high-band picture in the at least two update motion compensators, the output signal of each update motion compensator being scaled according to the number of update motion compensators. Finally, the low-band picture is calculated by adding the scaled update motion-compensated signals to the even picture.

Systems, Methods, Devices And Arrangements For Motion-Compensated Image Processing And Coding

View page
US Patent:
2009003, Feb 5, 2009
Filed:
Jul 31, 2008
Appl. No.:
12/183991
Inventors:
Markus H. Flierl - Palo Alto CA,
Bernd Girod - Stanford CA,
International Classification:
G06K 9/36
US Classification:
382248
Abstract:
A variety of methods, devices, systems and arrangements are implemented for processing and coding of video images. According to one such implementation, a method is implemented for encoding a sequence of images. A plurality of orthogonal transforms is implemented on a set of N images, where N is greater than one. The images are linked by motion fields that include sets of respective portions of the images. In particular, the construction of a motion-compensated orthogonal transform is accomplished for the important case where at least one portion of any of the N images—or any part of this portion—is used more than once to motion-compensate other portions of the N images—or parts thereof.
Markus H Flierl from Palo Alto, CA, age ~49 Get Report