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:
Mar. 02, 1999

Filed:

Jun. 27, 1996
Applicant:
Inventors:

Masayuki Miyamoto, Nabari, JP;

Kunihiko Iizuka, Sakai, JP;

Hirofumi Matsui, Ikoma, JP;

Mitsuhiko Fujio, Iizuka, JP;

Assignee:
Attorneys:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06K / ;
U.S. Cl.
CPC ...
382253 ;
Abstract

An encoding apparatus uses a vector quantization encoding method for encoding indexes of codewords, which supply a scalar quantized code of a maximum scalar product value of each code word in a code book, and its maximum scalar product value to a vector component of an input image inputted from an image sensor, so as to output the encoded indexes. A scalar product value calculating circuit in the encoding apparatus has scalar product value calculating sections, which are composed of an analog circuit having a code component capacitor corresponding to each code component, a differential amplifier and a feedback capacitor, corresponding to each codeword, and the scalar product values of the input vectors are calculated in parallel by the scalar product value calculating sections. In such a manner, when the analog calculation is made, the scale of the circuit can be decreased and the power consumption can be lowered. Therefore, unlike the case where the calculation is made after A/D conversion, it is possible to avoid a problem that the number of times of calculations and the power consumption are remarkably increased due to increases in the number of dimensions of the input vector and the number of gradations.


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