Satya N Yedidi

age ~59

from Roseville, CA

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Also known as:

Satya Yedidi
Satyanarayana Subbalakshmi Yedidi
Satyanarayana Yedidi
Setya Yedidi
Satyanaraya Yedidi
Satya Naray Yadidi
Edide Y Satya
Satyanaraya Narayana Yedidi

Connected to:

Satya Yedidi Phones & Addresses

Roseville, CA
Lafayette, IN
Scottsdale, AZ
Maricopa, AZ
Rancho Cordova, CA
Sacramento, CA
Peachtree Corners, GA
Atlanta, GA
Folsom, CA

Work

Company:

Intel
Sep 2000
Address:

Folsom, CA
Position:

Component design engineer

Education

Degree:

M. Tech
School / High School:

Indian Institute of Technology, Bombay
1985 to 1987
Specialities:

Control and Instrumentation Engineering

Languages

English • Kannada • Tamil

Industries

Semiconductors

Resumes

Component Design Engineer

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Location:

1516 Palatia Dr, Roseville, CA 95661

Industry:

Semiconductors

Work:

Intel - Folsom, CA since Sep 2000
Component Design Engineer
AMI: American Megatrends, Inc. - Norcross, GA May 1998 - Aug 2000
Design Engineer
HCL Technologies - Chennai Area, India Nov 1996 - May 1998
Technical Design Manager

Education:

Indian Institute of Technology, Bombay 1985 - 1987
M. Tech, Control and Instrumentation Engineering Jawaharlal Nehru Technological University 1982 - 1985
B.Tech, Electronics and Communications

Languages:

English
Kannada
Tamil

Us Patents

Program Products For Iterative Quantization Rate Control In Video Encoding
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US Patent:

20130272392, Oct 17, 2013
Filed:

Nov 14, 2011
Appl. No.:

13/994307
Inventors:

Ning Lu - Saratoga CA, US
Hong Jiang - El Dorado Hills CA, US
Atthar H. Mohammed - Folsom CA, US
Satya N. Yedidi - Roseville CA, US
International Classification:

H04N 7/26
US Classification:

37524003
Abstract:

Iterative video encoding systems, methods and computer program products, where residue quantization and data packing operations of an encoding process may he repeated with various values for a quantization parameter, without repeating the determination of macroblock prediction code. In an embodiment, the size of an actual file generated by encoding is compared to a target file size. The QP may be adjusted depending on the amount by which these file sizes differ. The quantization and packing may then be repeated with the adjusted QP. In an embodiment, a greater difference in these file sizes results in a greater adjustment to the QP.