May 2013 to 2000 Account ManagerComodo Clifton, NJ Oct 2012 to May 2013 Inside Sales RepresentativeSTAPLES Englewood, NJ Nov 2010 to Nov 2011 Business Development, Outside SalesVerizon Wireless
Jan 2006 to Nov 2010 Supervisor, SalesVERIZON WIRELESS, Lawrenceville
2006 to 2006 Senior Representative, Retail SalesVERIZON WIRELESS, Lawrenceville
2004 to 2006 Sales RepresentativeVerizon Wireless
2003 to 2004 Customer Service
Education:
MONMOUTH UNIVERSITY West Long Branch, NJ 2003 Bachelor of Science in Business Administration
Stephen George Demko - Atlanta GA Keshi Chen - Duluth GA Mehdi Khosravi - Roswell GA
Assignee:
Iterated Systems, Inc. - Atlanta GA
International Classification:
G06K 936
US Classification:
382249
Abstract:
The methods of the invention can be used with image data divided into domain blocks. A predetermined search pattern of range blocks centered on a domain block is defined for use in the methods. The first method includes a step of generating at least one error descriptor data based on domain block data and range block data. The error descriptor data can be derived by scaling the range blocks to the pixel size of a domain block, and subtracting the means of the range blocks and domain block from each pixel thereof. The mean-adjusted, scaled pixel intensity levels of the scaled range blocks are subtracted from mean-adjusted pixel intensity levels of the domain block to produce difference data. The absolute value of the difference data is taken and the positive difference data are summed to produce summed error data for each range block. The summed error data is used to derive at least one error descriptor data for the image.
System And Method For Lossy Compression Of Data With Output File Size Control
Gang Liang - Norcross GA Stephen Demko - Atlanta GA Jarkko Kari - Atlanta GA Keshi Chen - Dunwoody GA
Assignee:
Iterated Systems, Inc. - Atlanta GA
International Classification:
G06F 1500
US Classification:
345439
Abstract:
A system and method compresses datasets so compressed representations corresponding to a predetermined target file size are generated. The system includes a lossy compressor which selects a compressed representation for components of an original data set. The size of the compressed representations generated by the compressor are measured and used with the cost parameters for a parameterized non-linear relationship between cost parameter and compressed representation sizes. The parameters may be used to adjust the cost parameter so the compressor generates compressed representations that correspond to a target size. The adjustment of the cost parameter causes the compressor to select different compressed representations for the components of the original dataset and correspondingly alters the size of the compressed representation.
Method And Apparatus For Compressing And Decompressing Three-Dimensional Digital Data Using Fractal Transform
Michael F. Barnsley - Duluth GA Lyman P. Hurd - Dunwoody GA Stephen Demko - Atlanta GA
Assignee:
Interated Systems, Inc. - Norcross GA
International Classification:
G06K 936 G06K 946
US Classification:
382249
Abstract:
A method and apparatus are described for-encoding a three-dimensional array of data representing a physical entity, such as an image (or sequence of frames), by means of its local symmetries. This encoding yields both compression and a resolution-independent description which allows reconstruction of the image to an arbitrary scale. Spatial zooming and interframe interpolation can be achieved without significant loss of information.