The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Aug. 07, 2012

Filed:

Sep. 12, 2008
Applicants:

Shojiro Shibata, Kanagawa, JP;

Takeshi Shibata, Tokyo, JP;

Kyohei Koyabu, Kanagawa, JP;

Takaaki Fuchie, Kanagawa, JP;

Inventors:

Shojiro Shibata, Kanagawa, JP;

Takeshi Shibata, Tokyo, JP;

Kyohei Koyabu, Kanagawa, JP;

Takaaki Fuchie, Kanagawa, JP;

Assignee:

Sony Corporation, Tokyo, JP;

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
H04N 7/12 (2006.01);
U.S. Cl.
CPC ...
Abstract

To predict a target code amount from a code amount calculated on a single quantizer scale. The present invention stores relationship information on a plurality of pieces of quantized data for prediction having different MB generated code amounts on a fixed quantizer scale (QI) as prediction curves, the relationship information indicating a relationship between a plurality of quantizer scales (Q) representing a plurality of quantizer steps and MB generated code amounts. The present invention quantizes image data on a macroblock-by-macroblock basis on the single fixed quantizer scale (QI) out of the predetermined plurality of quantizer scales (Q), thereby generating temporary quantized data, and calculates the MB generated code amount of each macroblock unit of this temporary quantized data. The present invention then selects a piece of quantized data for prediction from the plurality of prediction curves based on the MB generated code amount of the temporary quantized data and the fixed quantizer scale (QI), and predicts the MB generated code amounts for situations when the image data is quantized on quantizer scales (Q) not selected by a quantization selection section, based on the selected piece of quantized data for prediction.


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